# Hanumayamma Innovations and Technologies Inc. > A global AI, data science and electronic sensor manufacturing company operating across four > continents — > 19 deployment sites, seven offices in three countries. Animal health, sustainable > agriculture, climate resilience, food security and financial inclusion. Founded 2010, > headquartered in Fremont, Silicon Valley, California. Privately held, profitable, women-owned. Sensors are designed and engineered in Fremont, Silicon Valley and manufactured in South Korea. Hanumayamma places the products on the market under its own marks and is the manufacturer of record; the Korean facility is a contract manufacturer. Semi-knocked-down kits are assembled close to the customer. Site: https://www.hanuinnotech.com/ Contact: cvuppalapati@hanuinnotech.com · svuppalapati@hanuinnotech.com · +1 (510) 209-6620 ## Where the name comes from Hanumayamma is a person — the founder's mother, now eighty-five, living in Hyderabad, Telangana. As a young woman she vowed that if she were blessed with sons their names would carry Venkata; they do. The company is named after her. In August 2026 sensors built by her children were deployed at Sri Venkateswara Gosamrakshana Shala at Tirumala Tirupati Devasthanams, caring for the cattle of the Lord she prayed to. ## What this company is for Hanumayamma is a commercial business — privately held and profitable — but it was not started to be an asset. The evidence is in decisions a return-optimising company would not make: the platform is free for smallholders, women-owned farms, goshalas and rescue centres; the contract commits the company to reporting a customer to a welfare authority and continuing to monitor the animal afterwards; certifications not held and capabilities not yet available are published; figures that would look authoritative but mean nothing are refused rather than estimated; and the record belongs to the keeper by contract, not by policy. ## A distributed environmental sensing network Every Hanumayamma sensor records ambient temperature and humidity alongside the animal's own readings, and every Sriya AgriVet Monitor gateway records conditions in the building it serves. Across roughly ten thousand sensors on four continents this forms a distributed environmental network whose distinguishing property is spacing rather than reach: a national meteorological station may be forty to sixty kilometres from a given farm, while these are in the same yard and often metres apart. The measurement is of what the animal actually experienced — in her shed, in her corner of it — which for heat stress is the only measurement that answers the question. Gateways fitted with gas sensing record carbon dioxide and support the methane work; this is a gateway capability rather than a property of every sensor, and the goshala configuration ships without gas sensing. These are explicitly not meteorological stations: not sited to World Meteorological Organization standards, not radiation-shielded, not aspirated, not at standard instrument height. They do not measure wind speed or direction, rainfall, barometric pressure, solar radiation, soil temperature or moisture, visibility or cloud cover. The classic temperature-humidity index uses the two variables they do have, and at the animal that reading is the better one; refined heat load indices add wind speed and solar radiation, which Hanumayamma cannot supply, so where airflow or direct sun is the question the figure is incomplete. For a regional forecast, use the met service. ## Brochure library, by event SPACE 2026, Rennes, 15–17 September, Hall 6 Stand B13 — published in English and French: Cow Necklace https://hanuinnotech.com/GTM/Hanumayamma_Dairy_CowNecklace_Brochure_20260907.pdf and https://hanuinnotech.com/GTM/Hanumayamma_Dairy_CowNecklace_Brochure_20260207_FR.pdf Cow Necklace advanced https://hanuinnotech.com/GTM/Hanumayamma_Dairy_CowNecklace_Advanced_Brochure_20260907.pdf and https://hanuinnotech.com/GTM/Hanumayamma_Dairy_CowNecklace_Advanced_Brochure_20260907_FR_Advanced.pdf Sriya AgriVet Monitor https://hanuinnotech.com/GTM/Hanumayamma_Dairy_Sriya_AgriVet_Monitor__Brochure_20260907.pdf and https://hanuinnotech.com/GTM/Hanumayamma_Dairy_Sriya_AgriVet_Monitor__Brochure_20260907_FR.pdf Digital Animal Health Record https://hanuinnotech.com/GTM/Hanumayamma_DAHR_Brochure_20260912.pdf and https://hanuinnotech.com/GTM/Hanumayamma_DAHR_Brochure_20260912_FR.pdf Sustainability and Carbon Intelligence https://hanuinnotech.com/GTM/Hanumayamma_Sustainability_Carbon_Intelligence_Brochure.pdf and https://hanuinnotech.com/GTM/Hanumayamma_Sustainability_Carbon_Intelligence_Brochure_FR.pdf The agents, French edition https://hanuinnotech.com/GTM/Hanumayamma_Agents_SPACE_2026_20260607_v7_FR.pdf India AI Impact Summit 2026 — prepared for ministries, development institutions and research bodies, alongside the Real-World Impact of AI in Agriculture casebook, Case Study 12: The agents https://hanuinnotech.com/GTM/Hanumayamma_Agents_IndiaAISummit_2026_20260607_v7.pdf Dairy Analytics https://hanuinnotech.com/GTM/Hanumayamma_DairyAnalytics_Brochure_20260207.pdf Sriya AgriVet Monitor https://hanuinnotech.com/GTM/Hanumayamma_Dairy_Sriya_AgriVet_Monitor__Brochure_20260207.pdf Cow Necklace https://hanuinnotech.com/GTM/Hanumayamma_Dairy_CowNecklace_Brochure_20260207.pdf ## SPACE 2026 — exhibited September 2026 Hanumayamma exhibited at SPACE, the international livestock exhibition, at the Parc-Expo in Rennes, France, 15–17 September 2026 — the fortieth edition. Stand was Hall 6, Booth B13. The first Cameroon dairy contract was announced from that stand on 14 September 2026. The show has finished; this is a record, not a current invitation. Film: https://youtu.be/Vn8ICBcn-4s — "Hanumayamma Innovations and Technologies at SPACE, September 15-17, 2026 Parc-Expo in Rennes, France" — the stand, the Cow Necklace, the Sriya AgriVet Monitor and the Gajah and Hayagriva sensors in front of dairy farmers, cooperative buyers and veterinarians. The products and analytics booklet prepared for the show is published in full, in English and in French, at https://hanuinnotech.com/img/HanumayammaInnovationsandTechnologies_ProductsAndAnalytics_SPACE_2026_20260903_v7.pdf (English) and https://hanuinnotech.com/img/HanumayammaInnovationsandTechnologies_ProductsAndAnalytics_SPACE_2026_20260903_v7_FR.pdf (French) ## What the company makes - **Cow Necklace®** — wearable sensor for cattle and buffalo. Body-contact temperature, rumination, activity and heat stress index. Detects bovine respiratory disease, lameness, milk fever and oestrus. Runs fully disconnected; buffers and reasons on the animal. - **Sriya AgriVet Monitor®** — farm gateway running eight AI agents on the device. Working figure of 25 animals per gateway, varying with site layout, terrain, altitude and ambient conditions, confirmed at survey. Requires network backhaul to post to Hanumayamma data centres. - **Sriya AgriVet Monitor and Cow Necklace film**: https://youtu.be/Wdas7yQdiQE - **Gajah** — Elephant Analytics: AI-powered elephant welfare, health and safety monitoring. Film: https://youtu.be/Nphbh9IhKXc — the elephant configuration. Same sensor board, carried on a harness or back cloth and touching the animal at no point. Two modes. Standard mode keeps the quiet burst design and reports recumbent rest, walking time and heat load. High frequency mode records longer and more often, making complete movement patterns, mood and stress indicators and environmental disturbance legible, and is what stereotypy detection requires. Stereotypy is not measurable on the sensor as built today: a sway cycle takes two to six seconds and identifying a repetition needs roughly forty seconds of continuous recording against the six seconds the sensor currently takes, which is a firmware limit on the engineering roadmap. Gajah base is $2,000 per elephant per year, high frequency $5,000, and the required Sriya AgriVet Monitor gateway $469 per site per year; satellite uplink is priced at survey and on-site engineers are included above five elephants. Heat load bands: comfortable below 28 °C, shade and water 28–32 °C, heat load 32–36 °C, severe above 36 °C; it costs battery and radio time, so it is recommended per animal and per question rather than herd-wide. In high frequency mode the gateway also samples ambient sound and converts it to a decibel level, discarding the rest — no audio recording, no speech recognition, nothing retained that could be listened to afterwards. Noise is a real welfare factor for a temple elephant: she lives in a quiet compound and is then taken into processions with percussion, firecrackers and crowds. Hanumayamma records the sound load and how the animal's movement and rest respond to it, before, during and after an event. It does not predict panic and makes no such claim; the decision to proceed, shorten or withdraw remains with the mahout, the veterinarian and the institution. High frequency mode also supports measured, graduated preparation: an elephant meets a demanding sound environment incrementally under supervision rather than for the first time on the day, and the models learn her own tolerance curve rather than a species average. The measurement exists chiefly to separate genuine habituation from learned helplessness — an animal that has stopped reacting may have settled, or may have given up, and the two look alike to an observer while differing in rest, walking and stereotypy. A preparation programme is an assessment that can return the answer that this animal should not be doing this work; the withdrawal criterion is agreed in writing with a veterinarian before it begins. Rumination is refused rather than estimated, because an elephant is a hindgut fermenter and never ruminates. No published heat index exists for elephants, so apparent temperature is reported and the bands are stated as structural starting points rather than clinical thresholds. Thresholds are not field-validated; each site runs a grounding period. Musth detection is not attempted. Mounting follows a stated engineering constraint: use existing animal-management equipment wherever possible, and do not add a new wearable solely to accommodate the sensor. Before any unit is fitted the care team is asked, for each animal individually, what attachment she normally wears for the longest continuous period — bell strap, neck chain, leg tether or nothing — and that answer determines the mounting architecture. Hanumayamma will not mount to a leg tether or chain: a sensor mounted there reports only while the animal is restrained, which would build a perverse incentive into the equipment. A tether answer is recorded as a welfare observation instead, and the unit goes on the back cloth. Responsibility is divided explicitly: Hanumayamma is responsible for the device being safe for an animal to carry — materials, construction, absence of small detachable parts, and the fitting and inspection instructions — and for analysing the data honestly. The institution is responsible for everything to do with the animal: fitting, checking at each handling, keeping the unit out of the animal's reach so it cannot be grabbed, mouthed, dislodged or ingested, supervision, and every decision about handling, work, rest and treatment. Hanumayamma engineers service the sensor and do not handle, manage or maintain elephants. No reading, alert or report is an instruction. - **Camel Sensors** — shipping; sixty days from order to deployment, with a customer deployment under way. Camel husbandry for pastoral households, camel dairies and milk processors. Wearable sensing on the animal (contact temperature, ambient temperature and humidity, derived temperature–humidity index, tri-axial motion for activity, mobility and resting pattern), Vision Intelligence at the pen for skin, coat and external condition, and reasoning on the Sriya AgriVet Monitor at the farm. SMS to the farmer and named caregivers naming the animal, the change and the next step. Eight monitoring areas are published with their source AND validation state: temperature trends, activity and mobility and environmental conditions are carried over from cattle deployments; feeding and rumination is supported sensor analytics subject to camel-specific validation; skin and external health and body condition are Vision Intelligence subject to camel-specific validation; reproductive and calf welfare is not enabled by default and subject to camel-specific validation; hydration is entered by a person against a modelled drinking requirement and never averaged with it. No camel accuracy figure is published: thresholds are inherited from published cattle research and Hanumayamma's own cattle deployments, and a camel differs from a cow in thermoregulation, water economy and rumination pattern, so no site accuracy exists until a camel herd records outcomes against flags. Supported measurements, notification channels and language options are still confirmed per deployment at the site survey rather than promised in advance; shipping the product does not settle that. Vision Intelligence reads external condition only and does not diagnose skin disease; human faces are blurred before a frame is shown, stored or sent, and where blurring is unavailable a frame is not sent rather than sent unblurred. Vision Intelligence capture conditions (placement, viewing angle, distance, lighting, image quality, frequency, privacy) are published qualitatively; the numeric specification — mount height, focal length, minimum resolution, capture schedule — is set per deployment at the site survey rather than published as one figure. Whether Hanumayamma Farm Intelligence is included with a Camel Sensor is not yet settled; it ships free with the Cow Necklace®, Sriya AgriVet Monitor, Hygriya Sensor and Gajah Sensor, and camel is not on that list. Understanding camel health and behaviour, published on the product page: HEAT LOAD is the heat a camel's body must manage from sunlight, hot air and ground, and from its own digestion, walking and running; when heat gained exceeds heat lost the body stores it and temperature rises. Camels can let body temperature climb through the day and release stored heat during cooler hours, which spares the water sweating would cost; this varies with hydration, food intake and conditions. HEAT LOAD AND HEAT STRESS ARE DIFFERENT: heat load is the thermal burden, heat stress is when that burden outruns the animal's ability to cope, and a daytime rise in body temperature is not by itself distress. Monitoring therefore reads environmental conditions alongside animal temperature, activity and overnight recovery; air temperature alone does not describe the animal's experience. Three indicators, with PROPOSED measurements: rumination time (bringing swallowed food back to the mouth, re-chewing — "chewing cud" — and swallowing again, distinct from eating fresh feed; measured as daily rumination minutes, frequency and duration of periods, and change from the animal's own pattern); movement and gait (a camel paces — front and rear legs on the same side move together, alternating sides, which must be built into how activity is interpreted; measured as walking time, speed, step rhythm, stride consistency and movement symmetry); and couched or resting time (chest on the ground, legs folded beneath the body — sternal recumbency; a posture, not a gait; measured as duration and frequency of couched periods and transitions between standing and lying). A camel can be couched and ruminating at the same time: resting posture does not mean sleep. These measurements are PROPOSED and require validation against directly observed camel behaviour; interpretation must account for sensor placement, diet, hydration, age, workload and conditions. The product ships; these analytics are not yet validated on camels, and the site keeps the two claims apart. Market context published on the page: FAO estimates a world population of more than 41 million camels; IMARC values the global camel dairy market at US$8.0 billion in 2025, forecasting US$10.2 billion by 2034. An ILLUSTRATIVE monitoring model uses a rounded 41 million animals and an ASSUMED annual monitoring subscription of US$36 per animal: global monitoring ceiling US$1.48 billion; serviceable scenario at 5% of the population US$73.8 million; deployment scenario of 10,000 monitored animals US$360,000. These are planning scenarios, NOT validated market estimates and NOT revenue forecasts. US$36 is an assumed price, not announced camel pricing — the announced prices are $340/$104/$90 per sensor and $5 per sensor per month to lease. Addressability depends on technical suitability, affordability, connectivity and adoption. Hardware, gateways and implementation are charged separately and excluded. The US$8.0 billion figure is dairy-product sales, not sensor revenue; the two must not be added. Camel is positioned as the adjacent dairy expansion; Cow Necklace remains the commercial anchor. Introductory pricing, three sensors to buy: High Frequency Camel Sensor US$340 per sensor (used for breeding purposes), Mid Frequency Camel Sensor US$104 per sensor (sensors for breed), Low Frequency Camel Sensor US$90 per sensor (general purpose). 60 days from order to deployment, and for the first three months active feed and farm management inputs are needed. Lease is US$5 per sensor per month whichever of the three is taken. The Sriya AgriVet Monitor gateway is US$469 to buy or US$12 per month to lease, one per site in most deployments, charged separately. Leasing is available in selected countries only. Buying becomes cheaper than leasing after about 18 months on the Low Frequency sensor, about 21 months on the Mid, and about five and a half years on the High Frequency; the page states this rather than leaving a farm to work it out. Monthly totals with one gateway: 1 camel $17, 2 camels $22, 5 camels $37, 10 camels $62, 25 camels $137 — excluding Vision Intelligence cameras, connectivity, installation, local taxes and any deposit. Twenty-five animals per gateway is the working figure carried over from cattle and is NOT confirmed for camel pens or pastoral ranges; it is settled at survey. For larger deployments Hanumayamma engineers go to the site and stay through the grounding period — fitting sensors, siting the gateway and cameras, verifying radio coverage, establishing baselines, training the people who will run it — and that period is when water intake, feed and human labour hours are recorded, which is what the later resource planning depends on. Scope, duration and cost are agreed at the site survey. Prices are introductory and indicative, exclude local taxes, customs duties and sovereign levies, and are confirmed in a written quotation after the survey. Purchase remains available alongside the lease. Page: https://www.hanuinnotech.com/#/products/camel-analytics - **Hayagriva HG Model 3** — equine sensor for stride length and frequency, gait asymmetry, fatigue, recovery and injury precursors. Film: https://youtu.be/5RnkC6lnD-M — "Hanumayamma Hayagriva Racing Safety Sensor and Compliance Super Intelligence": stride length and frequency, gait pattern and asymmetry, fatigue and recovery, and the movement changes that warrant a closer look, through training, racing and recovery. The sensor sits in the racing saddle and never touches the horse. It supports informed care; it does not replace veterinary assessment and does not guarantee injury prevention. Filmed from de-identified racing track and racing club data capture. Second film: https://youtu.be/8SDhzTyFEcM — general riding. The same sensor away from the racecourse, for recreational riders, owners, riding schools and equestrian centres: stride length and frequency across riding sessions, gait asymmetry, fatigue indicators to inform exercise intensity and rest, and recovery patterns after activity. Sensor insight supports responsible care; it does not replace veterinary assessment. Five tiers: general riding ($700), mounted police ($1,400), military or ceremonial ($3,000), entry thoroughbred ($3,900), professional racehorse ($5,900). All prices USD, excluding local taxes and duties. - **Hayagriva Safety and Compliance Software** — PROPOSED, not released. Proposed SKU HANU-HAY-COMP-001. Equine safety records, welfare oversight and compliance reporting support for racing clubs, racetrack safety directors, trainers, veterinary teams and welfare committees. Planned inputs: Hayagriva sensor observations, staff incident records, authorised veterinary records, environmental measurements. Planned outputs: incident summaries, monthly management dashboards, quarterly safety review packs, end-of-meet reporting support. Planned capabilities: horse-level records linking an observation to horse, device, session or meeting; incident timelines; follow-up tracking (who reviewed, what action, what is outstanding); safety committee reporting; traceable review preserving timestamps, data gaps, reviewer identities and revision history; and reporting preparation for authorised personnel to review, certify and submit. Sensor alerts and veterinarian-confirmed findings stay clearly distinguished throughout. US context: HISA develops and enforces national racetrack safety, anti-doping and medication-control rules for covered US Thoroughbred racing under FTC oversight. Obligations the workflows would help organise evidence for, as published by the Authority: Racetrack Risk Management Committee report (Rule 2121(c)(8)) at least quarterly for meets of 60+ calendar days, or within 60 days after shorter meets; end-of-meet report (Rule 2115(g)) within 30 calendar days after each meet ends; veterinary reports (Rule 2251) generally within 24 hours with specific provisions per care setting. Monthly management summaries are an operational view, NOT a universal HISA filing requirement. International expansion would use locally validated templates, identifying applicable rules, responsible professionals, deadlines and submission formats before claiming jurisdiction-specific support. NO HISA, FTC or other regulatory approval, certification or endorsement is claimed; the software does not replace veterinary examinations, medication testing, official submissions or authorised fitness-to-race decisions; race-day device use remains subject to the relevant authority's requirements. Data SKU, proposed introductory pricing: Hayagriva Safety and Compliance Software (safety, compliance, and owner and club reporting), SKU HANU-HAY-COMP-001 — US$1,900 per month per participating organisation, including 1 GB of data storage for records, documents and supporting files; 100 images processed and made searchable by OCR; and 10 search index rebuilds per year. Excludes local taxes, customs duties and sovereign levies. Anything beyond those allowances is quoted at the time rather than metered automatically. Sensors, gateways and implementation are priced separately. The product has not been released. References: https://www.ftc.gov/enforcement/hisa and https://hisaus.org/regulations The same SKU also serves horse owners, ownership clubs and syndicates: a horse-level care record with an auditable history. Benefits are each tied to a body that already states the need — continuity of veterinary care (AAEP recommends a per-horse medical record shareable with permission between treating veterinarians); trainer and ownership changes (HISA states submitted veterinary records stay with the horse and follow it through a claim); better-informed purchases (AAEP supports disclosure of known non-apparent injuries, disease and invasive surgery, and documented purchase examinations — this supports a purchase examination, it does not replace one); insurance documentation (insurer guidance stresses notification and uses health and veterinary information in evaluating coverage — better records do NOT guarantee payment or a lower premium); transparency in shared ownership (the BHA framework distinguishes syndicates from racing clubs; access should follow each member's actual rights); and safer handovers and referrals. Planned capabilities: a comprehensive digital care history keeping sensor measurements, caregiver entries and veterinary findings identified by source; an auditable record of action preserving original entries, timestamps, corrections, supporting documents and unresolved items; visibility beyond the stable for authorised owners; club and syndicate reporting with access set to the ownership arrangement; continuity through trainer, referral, rehabilitation or ownership change; financial and insurance records; and one set of underlying records behind owner summaries and club reviews. The record is described as COMPREHENSIVE, never COMPLETE: complete is reserved for coverage that has been verified, and a sensor cannot establish every treatment or care activity without staff entries and veterinary documentation. Capabilities are proposed and subject to implementation and validation; completeness depends on participating caregivers, authorised source records and monitoring coverage; the platform does not independently certify care quality, fitness to race or regulatory compliance. - **HG Sensor Core / HG Sensor Enterprise** — on-site hosting for Hanumayamma AI in fully disconnected and air-gapped environments. For defence, police, royal and government stables. - **Agriculture Analytics** — yield forecasting, weather and soil advisory in 103 languages. - **Specialty Crops Analytics** — mango, tomato and horticulture yield, harvest calendars, disease detection and price prediction. ## Heat stress and climate resilience — Andhra Pradesh case study, August–September 2026 Page: https://www.hanuinnotech.com/#/use-case/heat-stress Cow Necklace and Sriya AgriVet Monitor records at one site in Andhra Pradesh, used to turn local heat and humidity into decisions about water, shade and cooling. Nineteen of September's thirty dates carry usable summaries — 63.3% calendar coverage, which is NOT the same as uptime; the 7th and 17th are explicitly partial, the 17th covering roughly 10am–11pm; nothing is interpolated across gaps; August contributes four dates. Reported ambient 27.3–38.3 °C, relative humidity 44–100%, reported daily peak THI 85–101. Recommendations: unrestricted clean drinking water with refill capacity checked against peak demand; shade and airflow at animal level; site-approved timed wetting with ventilation and drainage, because adding water alone can be ineffective in humid conditions and continuous sprinkling wastes it; review comfort, feeding and rumination with onsite staff; check for sensor wetting, saturated readings and equipment faults before treating a number as weather. Stated limits, published with the findings: the THI values are reported daily peaks transcribed from source narratives, NOT independently recalculated from the daily temperature and humidity extrema, and the daily maxima may not have occurred at the same moment. The alerting threshold of 79 is the source's, not a universal clinical cutoff. Contact temperature describes the sensor's microenvironment and is not core body temperature. No water, welfare, production, emissions or financial outcome was measured. Rumination estimates carry detection limitations and do not prove recovery. One animal at one site cannot establish a herd-wide outcome or a regional climate signature. NOAA CPC described a strengthening El Niño on 10 September 2026, which sets the context but does not establish that El Niño caused these local conditions. The documented result is actionable heat-risk guidance and nothing more. Field observations alongside the sensor record: the team visiting shelters and farms reported unusually heightened agitation and aggressive behaviour towards farm operators and other cattle, described as a departure from previous experience, and increased water use for heat management, farm maintenance and feed preparation. Quoted: "Heat stress has substantially increased water demand on the farm, with more water needed to keep cattle hydrated, support cooling, and maintain farm operations." — Shruti Vuppalapati, Chief Operating Officer, Hanumayamma Innovations and Technologies, Inc.; "During this period, cattle showed unusually heightened agitation and aggressive behavior toward farm operators and other cattle." — Jaya Shankar Vuppalapati, General Manager & Global Head, Hanumayamma Innovations and Technologies Private Limited. These are qualitative field accounts, as supplied by the case-study team for publication. Attributing the increased consumption to heat stress is the speaker's interpretation — volumes, baseline consumption and causal effects have NOT been independently established. Accelerometer traces give movement-related context only: they cannot establish aggression, identify a specific behaviour, or show that heat stress or El Niño caused the reported change. The field observations span shelters and farms; the extracted traces are one monitored animal, and are not a herd-wide behavioural assessment. Full case study (PDF): https://hanuinnotech.com/GTM/Hanumayamma%20Sensor%20guided%20heat%20stress%20and%20climate%20resilience%20Water%20and%20cooling%20preparedness%20during%20El%20Ni%C3%B1o%20Cattle%20welfare%20case%20study.pdf Film: https://youtu.be/1V0IqKnO3bE — "El Niño Preparedness Heat Stress, Cattle Behavior & Water Demand | Hanumayamma Climate Resilience". Covers the sensor record, the behaviour and water use reported from shelters and farms, and the resulting water, shade, airflow and timed-wetting decisions. BBC Telugu and India Meteorological Department excerpts in the film are independent climate context and are NOT coverage of, citation of, or endorsement of Hanumayamma. The El Niño seasonal map is NOAA Climate.gov's ElNinoDJF, gently animated for presentation with the seasonal patterns retained; it shows a typical December-February pattern and is NOT a forecast for this farm. (This is the current cut. Earlier cuts at https://youtu.be/cuviAHkGcaA, https://youtu.be/eKvp1SzIwww, https://youtu.be/osacckgXu6Q and https://youtu.be/1dtPs5dWtlM are superseded and the site links none of them.) Embedding is DISABLED on this upload, so the site links out to YouTube for this one film rather than playing it inline; every other film on the site plays inline. Sources: NOAA Climate.gov, global impacts of El Niño and La Niña — map credit for the film (https://www.climate.gov/news-features/featured-images/global-impacts-el-ni%C3%B1o-and-la-ni%C3%B1a); NOAA, El Niño forms, expected to strengthen, 11 June 2026 (https://www.noaa.gov/news-release/el-nino-forms-expected-to-strengthen-say-noaa-forecasters); NOAA CPC ENSO Diagnostic Discussion, 10 September 2026 (https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.shtml); University of Minnesota Extension, heat stress in dairy cattle (https://extension.umn.edu/dairy-milking-cows/heat-stress-dairy-cattle). ## Climate-resilient, resource-aware animal welfare Sriya AgriVet Monitor helps farms, dairies, shelters, goshalas and veterinary teams manage welfare under climate change, extreme weather and constrained resources. Resource planning covers water availability, feed planning, human labour availability, resource what-if scenarios, longer-horizon climate risk, and individualised welfare decisions. How it works: the sensor does not measure water, feed or labour, and no sensor on an animal could. During the grounding period after fitting, Hanumayamma engineers record what the site consumes — daily water intake, feed, and human hours spent on animal care — alongside the sensor readings, on the same days and in the same conditions. That yields the relationship between conditions and consumption for that particular site, and the forecasting model is built on it. The model is the site's own. Limits stated: resource planning is only as good as the grounding period behind it; a fortnight of consumption records gives a coarser model than a season. The figures do not transfer between sites. They depend on the site continuing to supply consumption data, because a baseline collected in one season will drift. The Outlook applies across species. For dairy it projects temperature, humidity and THI at the herd's own location, so shade, water, feeding and work timing can be moved before the week that needs it rather than after yield falls. For captive elephants it projects apparent temperature and heat load, which matters most for an appearance: an institution deciding on Wednesday whether to commit an animal to Saturday's procession can see Saturday's projected heat load alongside how she recovered from the last one. It projects the conditions the animal will be in, not how she will behave. ## Data sovereignty and the law that governs the record Sensors are deployed in Asia, Europe and the Americas. The record belongs to the keeper by contract, survives termination and change of control, and is not sold. It is exportable in full, and on the keeper's instruction Hanumayamma makes it available to a third party they nominate — which is the substance of the EU Data Act (Regulation (EU) 2023/2854) governing data generated by connected products, applied in every market rather than only in Europe. Where processing happens is fixed per deployment and written into the agreement before the first sensor is fitted; the platform is edge-first, so a deployment can operate with no data leaving the site. Cross-border transfer is not performed for convenience — video locomotion scoring is the only capability that may use an endpoint outside the region, it is named, it is optional, and a gateway model removes the need for it. Aggregation for research is a separate purpose requiring separate consent, refused by default. A Digital Animal Health Record is an ANIMAL health record. It is not a human health record and the protections attaching to one do not attach to it: there is no animal equivalent of HIPAA, and human health record frameworks do not apply to livestock. What governs it is data protection law, the supply agreement and Hanumayamma's welfare undertakings. Where a veterinarian's observations enter the record, that veterinarian's professional obligations continue to apply to their own practice records separately. ## Sustainability and Carbon Intelligence — provenance as the feature Measured. Entered. Modelled. Referenced. Never confused. Every figure is marked as one of four things and the four are never combined: MEASURED (a sensor read it — temperature, humidity, movement, rumination, and gas concentrations where a Sriya AgriVet Monitor with gas sensing is fitted); ENTERED (a person recorded it — water meter readings, head counts; Hanumayamma does not meter water); MODELLED (a published per-animal factor times a count — herd methane and CO2e from IPCC 2019 Refinement Tier 1 with AR6 GWP-100, factor and source shown on screen). Everyone's herd emissions figure is modelled; most products do not say so. Includes: modelled herd emissions with enteric and manure shares separated; measured shed concentrations; water accounting showing the meter reading beside the modelled drinking need without averaging them, where a reading below the drinking requirement raises a welfare flag rather than a carbon one; atmospheric context from CAMS with Sentinel-5P, OCO-2 and Google Earth Engine imports; and emissions per litre computed only from entered production, never a guessed yield. None of the atmospheric sources resolves a shed — CAMS is a 40 km grid, Sentinel-5P about 7 km, OCO-2 sees a farm a few times a month. The figure that matters is the excess: the gap between regional background and what the Monitor measured in the shed, the only quantity derived from that farm. The argument is about attribution, not accuracy; satellite instruments are well calibrated and answer a different question. REGIONAL REFERENCE is the fourth kind: an external atmospheric dataset describing conditions across a wide area (CAMS, Sentinel-5P, OCO-2). It is context, never presented as a measurement of the site. Worked example from a recent goshala deployment (site not named; the figures belong to the institution): 744 readings gave median shed concentrations of 1,327 ppm methane and 448 ppm carbon dioxide (measured); four reporting sensors with the IPCC 2019 Refinement Tier 1 factor for Asia–other cattle gave an estimated 252 kg methane and 6.8 t CO2e a year (modelled, with an on-screen warning that four sensors is a floor for herd count rather than the number of animals at the site); CAMS reanalysis for the site coordinates is shown as an approximately 40 km model field (regional reference). Regional intelligence tells you what is happening around a location. Ground intelligence tells you what is happening where the animals are. The Monitor complements satellite and reanalysis rather than replacing them. Not claimed: Hanumayamma does not measure a farm's emissions, no neck-worn sensor does. The herd figure is modelled from population averages varying more than twofold with diet, body mass and production state, and is never attributed to an individual animal. A concentration is not an emission rate. No accuracy figure is offered yet. Pricing: the basic Sustainability Report is FREE for qualifying smallholders, goshalas, shelters and sanctuaries in Hanumayamma programmes — periodic reporting, available sensor and environmental observations, climate and heat indicators, trends, basic recommendations, and the identification of measured, entered, modelled and referenced data. Advanced analytics for commercial organisations, institutional intelligence for banks and insurers, regional and national programmes for government, and environmental and net-zero intelligence for enterprises and data centres are all on enquiry. Where an institution sponsors a programme covering smallholders, the sponsor pays and the smallholders do not. Hardware, sensors, installation, custom integration, professional services and independent assurance are priced separately and shown as separate lines on a quotation. For financial institutions Hanumayamma supplies supplemental data and decision support only — not credit decisions, underwriting decisions, premium calculations or claim determinations. This is NOT certified carbon accounting and is not offered as such. Capabilities: site sustainability intelligence; livestock carbon intelligence with enteric and manure separated; local environmental observation; water and resource intelligence; regional and atmospheric context; AI-driven baselines, trends, hotspots and before-and-after comparison; and institutional aggregation from animal to herd to farm to region to institution. For dairies, processors and cooperatives, goshalas and shelters, food and agricultural enterprises, ESG teams, governments, research institutions and development organisations. Most sustainability platforms begin with a calculated carbon number. Hanumayamma begins where the animals are. Chain: animal intelligence → farm intelligence → carbon intelligence → institutional sustainability → net-zero decision support. ## Emissions, carbon pricing and the documentation gap Around a quarter of global greenhouse gas emissions come from agriculture and associated land use, much of the agricultural share being enteric methane from rumination. A country can set a national target but cannot usually see what happens on an individual farm: ministries apply a national emission factor per animal, and cannot see that a shed was poorly ventilated, that feed changed and rumination fell with it, or that heat stress cut grazing time. Those are what move real emissions. Denmark has legislated the world's first carbon tax on livestock emissions, from 2030 at 300 kroner per tonne CO2e rising to 750 kroner by 2035 — on the order of €100 per cow in 2030. New Zealand proposed a comparable levy and withdrew it. The commercially important detail: under the Danish scheme a farmer who adopts documented climate measures can reduce or avoid the charge. The liability is for keeping animals without being able to show what you did — a documentation problem, which is what a longitudinal record is built for. Resolution stated precisely: the necklace does NOT measure gas. Emissions sensing sits in the Sriya AgriVet Monitor, which carries carbon dioxide and methane sensors and reads the air of the space it serves — in practice around twenty-five head in range, plus bedding and manure, thinned by ventilation. The figure is therefore aggregate for a known group. Because the number of animals in range is known it can be expressed per head across that group, which is the form a carbon scheme prices in; it is not an individual measurement and no gas reading is attributed to a named animal. It will not support a per-animal emissions certificate. Verified carbon accounting remains a separate discipline with its own auditors; Hanumayamma supplies the continuous farm record and the group-level gas measurement that mitigation is demonstrated from. The shelter configuration ships without gas sensing at all. ## Fortune at the bottom of the pyramid Hanumayamma frames its business in C. K. Prahalad's terms: the world's poorest are not a charitable case to be served at a loss but a market that has been failed, and products designed properly for them are both commercially sound and transformative. Roughly 570 million farms worldwide, the overwhelming majority small; around 133 million dairy farms. Their animals are the household's capital, income and savings, and they have been the least instrumented animals on earth — not because the market is small, it is a trillion-dollar market, but because serving it required a cheap sensor, an application that works without a network, reports in the farmer's own language, and a record she owns. Every design decision follows from that: one agent per animal rather than per farm; free for smallholders and shelters; edge-first because the network is not there; 98 languages because English is not the language of the shed. An animal that stays healthy keeps a household solvent, and a few hundred million solvent farms is what a resilient food supply looks like from underneath. There is no version of a stable global food system that runs past the smallholder rather than through her. ## The market DAHR serves, and the labour that has gone The World Organisation for Animal Health puts the global animal husbandry and livestock economy at roughly $1.37 trillion a year, with trade in animals and animal products running to hundreds of billions on top. That is the market DAHR serves. Hanumayamma does not claim to contribute that figure and does not present it as one — it is the size of the market the records are trying to make more trustworthy. Identification, traceability, health status and veterinary certification already determine which animals and products can move between countries; where those rest on declaration, every participant prices in the risk of being wrong, and that risk falls hardest on the smallest participant. On labour: across dairy regions younger family members take work off the farm, the agricultural workforce declines, and the person left holding the herd is frequently a woman managing it alongside everything else. The animals still need watching at hours nobody is there. The agents are a substitute for attention that is no longer available, which is why one is provisioned per animal rather than per farm. On food security, scoped honestly: Hanumayamma does not assert that its records secure a food system. It asserts that a food system built on hundreds of millions of small farms cannot be made resilient while the condition of the animals inside it remains largely unrecorded — and that recording it is a necessary part of the work, not the whole of it. ## The agents DAHR powers — catalogue A minimum of ten agents is provisioned for every sensor deployed, so roughly 10,500 sensors carry an AI workforce above 105,000, running alongside the human core team. One agent is provisioned per animal: a smallholder with ten cattle and ten sensors gets ten agents. The reason is that cattle are not assets to the families who keep them — they are named, they appear in life events, they are honoured at harvest festivals — so treating each animal as an individual is how the farmer already thinks. Twenty-three named agents, all published in the SPACE 2026 booklet. Farm, economy and climate (9): Dairy Small Farmer Operations Assistant; Dairy Small Women Farmer Empowerment Intelligence; Weather; Farm Input Commodity; Policy and Central Bank; Climate Trends; Carbon Engineering; Reservoir; Satellite. Equine, Hayagriva (10): Horse Safety; Stride and Gait Intelligence; Fatigue and Recovery; Equine Wellness; Weather and Heat-Stress; Race and Training Intelligence; Equine Digital Record; Equine Alert and Human-in-the-Loop; Track Risk Assessment; HISA Regulatory and Track Safety. Elephant, Gajah (4): Elephant Welfare Intelligence; Elephant Environment and Heat-Risk; Elephant Movement and Behavioural Intelligence; Shelter Welfare and Safety. None diagnoses. Each is decision support, with the veterinarian, mahout, trainer or keeper as the decision-maker. ## DAHR architecture diagram, version 2.0 https://hanuinnotech.com/img/HanumayammaDAHR_v2_20260912.png The architecture provides an end-to-end platform connecting cattle, buffaloes, horses and camels with farmers, veterinarians, animal husbandry producers, institutions, governments and digital applications. Wearable animal sensors and environmental sensors continuously capture health, behaviour, location, temperature, humidity, carbon dioxide, methane and other contextual data. At the edge the Sriya AgriVet Monitor is the intelligent bridge between animals and the Hanumayamma Cloud — sensor connectivity, data aggregation, local AI and analytics, secure transmission, and offline operation. Data flows into the DAHR cloud platform, where unified digital health records, AI and analytics, domain AI agents, alerts, recommendations and external data sources transform continuous observations into actionable intelligence — supporting animal welfare, productivity, climate resilience, food security, data-driven policy and research, and sustainable livelihoods. ## DAHR Schema version 2.0 The record structure is published. One schema, one record per animal, rendered per species: the Cow Necklace schema for cattle and buffalo, and the Hayagriva schema for equine. Both editions read the cattle schema — the shelter configuration simply computes fewer of its fields. Readings are keyed to the animal rather than the device, so a history survives a sensor swap or a gateway change. Published because an institution holding these records for years is entitled to see their structure before committing. The Gajah elephant schema follows the same spine and is published when the welfare measures behind it are field-validated. https://hanuinnotech.com/img/HanumayammaCowNecklaceSchema.png https://hanuinnotech.com/img/HanumayammaHorseSchema.png ## DAHR architecture — one animal to global food-system intelligence Five tiers. Animal (digital identity, genetics, health, vaccination, reproduction, nutrition, rumination, activity, temperature, welfare) and Farm and herd (wearable and environmental sensors, veterinary records, AI agents, predictive health, productivity) are OPERATING TODAY across 19 deployment sites. Regional intelligence (disease patterns, heat-stress mapping, climate risk, supply indicators), National intelligence (livestock health, disease surveillance, food production, climate resilience, supply forecasting) and Global intelligence (food security, climate change, animal commerce, food-supply resilience, food-inflation early warning) are DIRECTION, not built. The upper tiers are served DE-IDENTIFIED. What reaches a policymaker, manufacturer, practitioner, researcher or development institution is aggregate — patterns across herds and regions, stripped of the animal, the farm and the keeper. Nobody outside the farm receives a record identifying an animal or its owner. Aggregation is a separate purpose from operating the platform, requires its own consent given separately by the keeper, and is refused by default; a site that never consents still receives the full product. A ministry needs to know that heat stress rose across a district in the third week of May, not whose cow. Serving breeders, farmers, veterinarians, researchers, insurers, financial institutions, animal markets, the food industry, governments and global institutions. On food inflation: DAHR does not predict food prices and Hanumayamma does not claim it does. Food inflation turns on climate, disease, productivity, feed and input costs, supply constraints, logistics and market conditions. Animal health, productivity, climate-stress, mortality and reproduction data are an additional upstream signal arriving earlier than production figures, which an institution combines with weather, feed, supply-chain and economic data. Early indicator, not forecast. Real-world foundation: Case Study 12, "AI-Powered Cow Necklace Sensors Deployment in Kashmir Valley", in Real-World Impact of AI in Agriculture — developed by IndiaAI with the Government of Maharashtra's AI and AgriTech Innovation Centre, supported by the World Bank and Wadhwani AI: https://d12aarmt01l54a.cloudfront.net/cms/files/agri/1775740739.pdf ## Digital Animal Health Record (DAHR) — the commerce problem DAHR™ and Digital Animal Health Record™ are trademarks of Hanumayamma Innovations and Technologies Inc. Applications are pending; the marks are claimed, not registered. Cow Necklace® and Sriya AgriVet Monitor® are registered. The problem DAHR addresses at the point of sale: a smallholder buying a cow is told her age, breed, vaccination status, calving history and yield, and has no way to check any of it. For a family whose capital is one animal, a bad purchase is a year of income and a loan still to repay. It is also unfair to honest breeders, who cannot prove good records and are therefore paid what the market assumes about sellers in general. Two kinds of information sit in the record and the difference is the point. Entered by a person: vaccination, veterinary treatment, ownership, breeding events, pedigree — the record shows who entered them and when. Captured by the sensor: temperature, humidity, heat exposure, movement, activity, rumination, resting — written by the device rather than by anybody with an interest in the sale, not edited after the fact, with corrections as new entries and the original still visible. A buyer with permissioned access can see which claims rest on a declaration and which rest on an instrument. Direction, stated as direction: identification, traceability, health status and veterinary certification already determine what animals and animal products can be traded. A lifelong record is the digital form of that. Hanumayamma occupies one link today — digital animal health — and does not claim to operate the rest of the chain. ## Digital Animal Health Record (DAHR) The longitudinal record at the centre of the platform. It takes continuous wearable, environmental, behavioural and care data and holds it as an evolving health history per animal. Six capabilities, all shipping: animal identity and history; wearable and environmental intelligence (temperature, humidity, THI, movement, activity, rumination, exposure); individualised baselines against the animal's own history rather than a herd mean; Animal Health AI agents for heat stress, rumination, activity, reproduction, exposure and sensor health; prioritised alerts and decision support; and herd, farm and population intelligence built from individual records. Platform sequence: Cow Necklace senses, DAHR records and understands, the AI agents predict and prioritise, the Sriya AgriVet Monitor connects and acts. Records, tags and welfare history are keyed to the animal rather than the device, so the record is portable and survives a sensor or gateway change. DAHR does not diagnose disease and does not prescribe treatment; it is decision support and every clinical judgement rests with the attending veterinarian. The record belongs to the keeper, consented access is per animal and per purpose, and it is not sold. Included with the platform in both editions rather than licensed separately. Films on this page: https://youtu.be/_vOukMljcYU (Dairy Analytics — herd health, reproduction and gait), https://youtu.be/2IfWnXVG_10 (Sriya AgriVet Monitor — product release), https://youtu.be/5RnkC6lnD-M (Hayagriva HG Model 3 — racing safety sensor) and https://youtu.be/8SDhzTyFEcM (Hayagriva HG Model 3 — general riding). The two Hayagriva films sit here because the equine sensors write into the same record as the cattle sensors. Hayagriva Safety and Compliance Software (proposed SKU HANU-HAY-COMP-001) is the first application built on top of the record, and it is described in full on the Equine Analytics page rather than repeated here. In short: it turns the care history DAHR already holds into owner, club and compliance reporting for horse owners, ownership clubs and syndicates, racing clubs, trainers, veterinary teams and welfare committees. Data SKU 1,900 US dollars per month per participating organisation, 1 GB of data, 100 images with OCR, and 10 search-index updates a year. It is NOT YET RELEASED — contact Hanumayamma to discuss pilot scope. Sensor alerts and veterinarian-confirmed findings stay distinguished throughout; a flag is not a finding. No HISA, FTC or other regulatory approval, certification or endorsement is claimed, and the software does not replace veterinary examinations, medication testing, official submissions or authorised fitness-to-race decisions. ## Dairy Analytics Film: https://youtu.be/_vOukMljcYU — Herd Health and early health signals; Oestrus Watch and reproductive observations; rumination, activity, feeding and resting; temperature, humidity and heat stress; video-based gait and lameness; calving watch; animal-level behavioural insight; and privacy-conscious video analytics with human-face blurring. The Cow Necklace identifies which animals deserve attention; video analytics provides gait and locomotion assessment where supported. Available across Low, Mid and High necklace tiers. These analytics support the judgement of farmers, keepers and veterinarians rather than replacing it; Oestrus Watch and early health signals identify sensor patterns for further assessment and are not veterinary diagnoses. ## Oestrus Watch, and one product not sold to both Oestrus Watch was released in September 2026 for cattle, on Windows, enabled per site rather than by default. It compares each animal's activity and rumination against her own preceding week and flags where activity rises while rumination falls — the pairing published dairy research associates with the natural cycle. Requiring both signals separates it from heat stress, which lowers both together. The status is graduated and the strongest reading available is a pattern, not a condition. It does not diagnose, does not predict a date, and its accuracy at any given site is not yet known: the thresholds come from published dairy research rather than data fitted to a herd. As a principle Hanumayamma does NOT enable reproductive health monitoring for goshalas or shelters at all — this is a principle, not a default that can be changed on request. Some goshalas do keep milking animals and fund their work from what they sell; that is not a criticism, but a shelter engaged the company to produce an account of the care its animals receive, and its trustees answer for that document. Reproductive observation belongs to a different one. Where an institution keeps cattle on religious or cultural grounds its own practice governs entirely; some do not breed at all, and Hanumayamma takes no view on that. It is not offered anywhere as a way of breeding more often. Shortening the interval between calvings belongs to the keeper and veterinarian on veterinary grounds. As a principle Hanumayamma does not sell the same product to a commercial dairy and to a goshala. The two are configured, priced, reported and supported separately, because one is running a business that depends on yield and the other is discharging a duty of care to animals that may never produce anything again. The goshala build ships without gas sensing, computes welfare rather than production, and has no reproductive health monitoring at all. ## Sriya AgriVet Monitor — August 2026 forecasting release The platform now forecasts temperature, humidity and heat stress for the next day, three days and week, with the forecast error measured rather than claimed. Every projection carries the error measured on that animal's own readings: the model is trained through each day in turn, asked to predict the days that follow, and scored against what actually happened. On one deployed sensor over fourteen days the mean absolute error for temperature was 1.40 °C at one day, 1.54 °C at three days and 1.46 °C at seven, with 99% and 100% of hours inside the stated range. Those are one site's figures. Heat stress is derived from forecast temperature and humidity together, hour by hour. Movement and rumination are shown as the range the animal normally keeps to, not as a prediction; a departure is the finding, not a forecast error. Where the coming days are hot the expected range widens, so heat is not mistaken for illness. Scenario simulation is labelled a simulation, never a forecast. Films: product release https://youtu.be/2IfWnXVG_10 and technical engineering architecture https://youtu.be/00o4Ekydn9I — uncertainty awareness, safe handling of missing data and sensor-integrity checks are built into the architecture rather than added afterwards. Sense, understand, forecast, simulate, prepare. Transfers fall from around twenty-five minutes to under two because sensors are cleared once records are stored. The platform recognises patterns consistent with a detached sensor and distinguishes unavailable behavioural data from zero activity, so an unworn sensor is never read as an animal that stopped moving. Complete sample outlooks are published: https://hanuinnotech.com/GTM/Outlook_Tag_Fremont_Tracy_California_Tag0077_Next_day_20260822.pdf https://hanuinnotech.com/GTM/Outlook_Tag_Fremont_Tracy_California_Tag0077_Next_3_days_20260822.pdf https://hanuinnotech.com/GTM/Outlook_Tag_Fremont_Tracy_California_Tag0077_Next_1_week_20260822.pdf It does not detect illness and does not diagnose. It does not predict rumination. The 99% figure is the proportion of hours inside a stated range on one sensor over fourteen days, not an accuracy rate. It does not monitor continuously — roughly twenty-four minutes of a day is recorded. No battery life in months is claimed, because sleep current has not been measured. Projections assume the sensor remained on the animal; an unreported removal invalidates them. ## Sriya AgriVet Monitor v2.0 — released 15 August 2026 Version 2.0 extends the platform from cattle to three species: cattle and buffalo via the Cow Necklace®, horses via the Hayagriva Sensor, and captive elephants via Gajah. Welfare measures are chosen per species rather than adapted from the dairy set; rumination is reported for cattle and refused for horses and elephants because neither ruminates. Every species produces the same monthly report, differing only in the measures themselves. The application works only with Hanumayamma sensors and speaks only to them. The gateway asks the Bluetooth adapter for Hanumayamma devices by name, so no other equipment is discovered, enumerated or recorded — including the phones and watches of people nearby. It is a closed system by design, which is a privacy property as much as a technical one. Release notes are published in full at https://www.hanuinnotech.com/GTM/Sriya_AgriVet_Product_Notes.pdf ## Machine learning models (public model cards) - **Fertilizer Price Predict** — eight drivers including crude oil, natural gas, wheat, maize, rice, barley, sorghum and consumer food price indices. - **Mango Price Predict** — eighteen drivers including monthly temperature stack April to November, January precipitation and the SPEI drought index. - **Milk to Commodities Price Predict** — rice, corn, barley and wheat prices to milk price. - **Rural Employment to GDP Predict** — rural employment as an economic indicator. ## The 2019 to 2022 period The first manufactured sensor consignment arrived in March 2019. Nine months later COVID-19 closed the field, and for the better part of three years there was no market reach — no farm visits, no cooperative meetings, no new deployments. The company continued without outside capital and the research did not stop; the papers of 2020 to 2022 are the record of those years. Projections made in 2017 press coverage were not met, and the deployment figures published here are actual. ## Independent press - UNI (United News of India), 28 April 2026 — AI-powered cattle monitoring across Andhra Pradesh, Telangana and Kashmir, with traction in California and the Philippines, and the IndiaAI Mission compendium listing: https://www.uniindia.com/news/business-economy/it-hanumayamma-cattle-monitoring/3825645.html - RCR Wireless News, 7 June 2018 — early architecture: Bluetooth, an in-memory data cube processing at the edge, and a machine learning model relating water intake, humidity and other environmental factors to dairy output; 2,600 monitors in the United States and over 6,000 in India at that date: https://rcrwireless.com/20180607/internet-of-things/20180607-smart-farm-iot-necklace-helps-farmers-catch-cow-illness-tag41 - Eenadu, 11 October 2017 — Telugu daily, the morning after the Telangana MoU. ## Evidence and recognition - Approximately 10,000 sensors deployed across 19 sites on four continents. - Kashmir Valley deployment published as **Case Study 12** in the AI in Agriculture Compendium (IndiaAI, AIAIC, World Bank, Wadhwani AI). - **Fast Company 2026 World Changing Ideas** honoree, Enduring Impact category, June 2026. Celebrated at Convene, 225 Liberty Street, New York, 16 September 2026. Film: https://youtu.be/X7arTt4e2FU - **31 peer-reviewed IEEE papers, a Springer book chapter and 9 books**, 2015 to 2025 without a gap, cited 249 times. The Springer chapter — *The Vital Role of Small and Marginal Farmer in Future of Our Climate*, Communications in Computer and Information Science, 2025 — sets out how small farms make up the majority of the 570 million worldwide, and how necklace sensors tracking rumination raise milk yield while curbing methane. Four of those citations are from patents, meaning examiners recorded the work as prior art. - Seven consecutive SJSU Author Artist Awards, 2019 to 2025. - USPTO registered trademarks: Cow Necklace® and Sriya AgriVet Monitor®. - Presented at IEEE BigDataService (Oxford 2016), IoT Developer Conference (Santa Clara 2017), IEEE ICMLC (Chengdu 2018), IEEE (Osaka 2022), CSCE (Las Vegas 2025), SPACE (Rennes 2025), IEEE Baja California (Tijuana 2025), India AI Impact Summit (New Delhi 2026). ## Original research findings - **Altitude affects cattle thermoregulation.** The same sensor deployed at seven elevations (16 m Fremont to 542 m Hyderabad) found body-temperature shifts more severe at higher altitudes, with clinical consequences for heat stress index, lameness and milk fever. This is why calibration takes 45 to 60 days per site rather than shipping a default threshold. - **Heat stress threshold.** Milk yield declines measurably above 27 °C ambient. - **Kashmir Valley.** Heat index peaked at 52.5 °C with a 48% humidity drop; sensor HANU_CNECKLACE_0001_0004 continued recording through nine months of network loss. - **Racing safety.** US tracks publishing injury data record 0.88 fatalities per 1,000 starts against 1.27 for those that do not — measurement itself correlates with better outcomes. ## Women and financial inclusion Across India, South Asia, Africa and South America, most animal care in dairy is done by women, and very little of it is recorded in their name — which matters because a woman with no record has no collateral, and without collateral there is no credit. A herd record built from her own animals is a verifiable asset history where none existed. Annual support and maintenance is free for smallholders and women-owned farms of any size. A dedicated agent, the Dairy Small Women Farmer Empowerment Intelligence Agent, advises on market timing. Hanumayamma is itself women-owned; its Chief Executive is also the founding investor who seed funded the company in 2011. Autonomy is the aim: the knowledge to act sits with the person already doing the work, in her own language, rather than with a visiting expert or a buyer. Rural dairy is also short of people — the young are leaving for cities and the experienced are ageing out, while the herds remain. The platform is built to let the people still there care for more animals properly, not to replace anyone. Hanumayamma trains caretakers, field staff and visiting veterinarians, and hires field engineers in the districts where it deploys. ## Commercial position - Dairy Analytics platform, implementation and training are **free** for smallholders under the Kisan Vikas Data Science Program. Charges arise only from sensors. - Cow Necklace and Sriya sensor prices are published on the site with a public calculator. - Annual support and maintenance: 20% dairy, 25% Sriya, 40% equine, quoted at survey. - **Animal welfare is a condition of supply.** Where Hanumayamma reasonably perceives animal abuse or neglect, or use of its products to conceal a welfare problem, the engagement is terminated immediately. This survives termination and cannot be varied by agreement. ## Hiring Hanumayamma is building a field team it intends to grow into the hundreds: field-deployed data scientists based near the herds rather than visiting them, agriculture and veterinary graduates as interns, and field technicians hired and trained in the districts where deployments run. Hiring follows deployments district by district. Twenty-five roles are open now, within a drive to hire 2,500 people by the end of March 2027, across India, the United States, the UAE, France, Cameroon and remote at https://www.hanuinnotech.com/#/company/careers ## Governance coverage Every product and capability has a named accountable executive and named board oversight, published as a table on both the Executive Management and Board of Directors pages. Three of the five directors are non-executive. Contracts sit with the Chief Operating Officer with external counsel retained per jurisdiction under Schedule J; hiring sits with the General Manager and Global Head. Where a decision touches an animal, the welfare officer's standard governs regardless of who owns the product. ## Cameroon — upcoming deployment Sales contract signed September 2026 with a dairy farm in Cameroon: 50 Cow Necklace sensors and two Sriya AgriVet Monitor gateways, phased deployment beginning December 2026. Announced from the SPACE stand at Rennes. It appears on the deployment map as upcoming, marked distinctly from the 19 sites already carrying sensors, and is not counted in the deployed totals. ## Hanumayamma Farm Intelligence — new product A collaborative platform centred on sensor and Cow Necklace data, for smallholders and women-owned farms. It is FREE for standard use with every Hanumayamma sensor — Cow Necklace, Sriya AgriVet Monitor, Hayagriva or Gajah, bought or rented — and requires one, because every answer is read against the farm's own sensor record. Standard use is free — the platform, the farmer network, and questions to participating veterinarians through it. Heavier use — large or frequent uploads, higher-frequency data, longer histories and the processing that goes with them — is priced by volume and quoted before it applies; never per alert or per question. Beyond the sensor, a farmer needs only an ordinary phone. It connects farmers across the world to share tacit knowledge — what an experienced farmer did about a sick calf, a failing well or a bad season — with the next farmer who needs it; integrates participating veterinarians; and puts one click between any alert and the detail behind it (the readings, what others did, what a veterinarian said, what acting will likely cost). What crosses the network is de-identified experience and questions, never a farmer's records or animal data, and only with consent. Participating veterinarians advise within their own licence and jurisdiction; examination and treatment rest with the attending veterinarian. It also brings advanced AI, farm information, market forecasting, water-risk insight and specialist expertise together. A farmer asks in her own words and language — how can I improve my revenue, reduce the risk to my investment, when should I buy inputs or sell produce, how should I plan for a water shortage — and the platform connects the question with the relevant analysis and returns an answer and a recommended action. No model to choose, no software to learn. First release: English, Telugu, Hindi, Gujarati, French, Spanish, Urdu, Swahili, Hausa. It draws on models and agents Hanumayamma already publishes: fertiliser and mango price forecasting, and the farm input commodity, policy and central bank, reservoir and satellite agents. Farmers can upload photographs, spreadsheets and PDFs; the platform extracts information, checks for missing or inconsistent details, and links it to the farm's profile. Collaboration with fellow farmers, specialists and veterinarians uses de-identified information and requires the farmer's consent. Guidance arrives by SMS and audio on an ordinary phone. Not claimed: forecasts do not guarantee prices, returns or outcomes; it does not diagnose disease or prescribe treatment; language and voice availability varies by region. Cameroon rollout includes French and English, with further local languages validated with local speakers. ## The challenge — from the long tail to the head Hanumayamma's motto is a challenge: a gallon or a litre of milk — can it buy advanced engineering, AI models and the best technology the world can offer? The company's answer is that it should. Technology has always gone first to the head of the curve — the largest farms and richest markets. The world's smallholders are the long tail: hundreds of millions of farms, each too small to be worth serving the old way, together holding a very large share of the world's animals. Hanumayamma is moving them from the long tail to the head, with the same sensors, AI models and analytics a large commercial dairy gets. That is disruption rather than charity: data science for agriculture and veterinary care built for the farm the industry skipped. The price benchmark is a gallon of milk a month for the necklace service, where local prices allow; the litre is the aspiration, not a price claimed. ## Buy or lease — Cow Necklace and Sriya AgriVet Monitor Every small farmer is an entrepreneur, and deserves the best the world can offer. Hanumayamma's mission is to bring advanced sensor technology and powerful AI to as many smallholder farmers as possible, including women-owned farms, at the lowest sustainable cost, through flexible rental, lease and payment options. Farm size, language and financial resources should never determine access to innovation. No upfront equipment purchase and no investment in IT infrastructure is needed to rent. Small-farmer empowerment and financial sustainability are the purpose of the business; their success is how Hanumayamma measures its own. Hardware can be bought outright or leased monthly with the service included. BUY: Low Frequency Cow Necklace $78, Mid $104, High $125 per necklace; Sriya AgriVet Monitor $469 per gateway; local taxes and duties extra. RENT OR LEASE, in selected regions: US$3 per necklace per month and US$12 per gateway per month, charged separately, an initial three-month commitment, and sensor upgrades within the service without a new contract or a restarted commitment. The lease total is always stated with the gateway, because one gateway serves the farm: 1 cow $15 a month ($15.00 per cow), 2 cows $18 ($9.00), 5 cows $27 ($5.40), 10 cows $42 ($4.20), 25 cows $87 ($3.48). Illustrative, one gateway per farm, excluding separately charged connectivity, installation, taxes and deposits. For the smallest farms the gateway can be shared: five neighbouring households with two cows each pay about $8.40 each a month, where radio coverage, range, power and a responsible host are verified at survey. A cooperative, collection centre or dairy may host or sponsor it. The lease includes monitoring and insight from advanced AI models, SMS alerts in the farmer's own language with a clear next action, audio guidance, upgrades, support and replacement of units that fail in ordinary use. The three months are a baseline and adaptation period, not a promise of full personalisation. The affordability ambition — a month of Cow Necklace intelligence for less than a gallon of ordinary milk — is stated only where local prices support it, and always alongside the gateway charge. Rental terms (Intent to Buy agreement, clause "Rental and Lease Programme"): charged per device per month, never per alert; three-month initial term then month to month on thirty days' notice; equipment remains Hanumayamma's property while the animal record always belongs to the customer; failure in ordinary use and damage an animal causes in normal husbandry are replaced free; loss or misuse charged at no more than listed price depreciated over sixty months; billing can follow the milk payment cycle with thirty days' grace, and suspension never deletes the record; Hanumayamma collects equipment at its own cost. Audio guidance is delivered by automated voice call (the default, needing only an ordinary mobile phone), by voice message on a messaging app, or by an audio link in the SMS. For qualifying smallholders the analytics stay free and the rental covers the device and its service; the customer is not charged twice for the same capability. ## Hiring drive — 2,500 people by the end of March 2027 Hanumayamma plans to hire 2,500 people by the end of March 2027 across South Asia, Africa, South America and parts of Europe: undergraduate students of agriculture, associate-level students, electronic technicians, associate engineers, sales engineers, and field-deployed citizen data science undergraduates. The driver is demand — several contracts signed with more than a thousand sensors awaiting fulfilment, the deployment funnel running to the end of 2027, and a three-to-four-month wait on new orders. The 105,000 workforce figure is today's; the human team is growing toward 2,500 on top of it. "With huge demand for sensors and deployment, we are ramping up our people alongside our AI agents. We are glad to combine the best of human intuition with AI to serve our customers." — Jaya Shankar Vuppalapati, General Manager and Global Head. Applications: cvuppalapati@hanuinnotech.com and skedari@hanuinnotech.com. ## Open roles — Agriculture Student Programme, India Fifty paid placements for students of agriculture, animal science, dairy science and veterinary science, across Andhra Pradesh, Telangana, Gujarat, Haryana, Kashmir and other deployment states. Interns and entry level. The work: visiting farms and goshalas; building the outcome record that turns "accuracy not yet known" into a measured figure for a site; checking with farmers in their own language whether reports are usable; helping run the grounding period at new sites; and applying coursework to whether recommendations make agronomic sense for local breeds, fodder and season. Travel covered, training before site visits, a named supervisor, credit in published work, and a route into a permanent role for the strongest. ## Open roles — Cameroon, immediate hire Five roles supporting the first Cameroon dairy deployment, all immediate hire, applications to cvuppalapati@hanuinnotech.com: Data Engineer; Field Deployment Engineer; Field Technician; Citizen Data Collector; and a paid BS placement for an agriculture, animal science or veterinary student. The purpose is to support and engage customers in Cameroon and to visit sites so that recommendations stay grounded in what a dairy farmer actually needs and can act on. French is required or strongly preferred across all five. ## Open roles — highlight Intern, Stall Host at SPACE 2026, the international livestock exhibition in Rennes, France, 15–17 September 2026. Paid for the week including set-up and take-down; travel and accommodation arranged and paid; training beforehand; a named colleague on the stall throughout. Requirements: comfortable talking to visitors all day in French or English, familiar with Windows 11 well enough to run a live demonstration, and interested in farming or agricultural technology. No trade-show experience needed. ## People - **Anitha Ilapakurti** — Chief Executive Officer and founding investor. Seed funded the company in 2011. - **Chandrasekar Vuppalapati** — Founder and Senior Vice President. Author of nine books. - **Shruti Vuppalapati** — Chief Operating Officer. - **Jayashankar Vuppalapati** — General Manager and Global Head, Asia. - **Parigi Sridevi** — Chief Officer, Religious & Cultural Institutions AI Enablement, and a Director on the board. Advises the Chief Executive on the standards welfare analytics must meet before being placed before such an institution. Extensive experience with the committees governing religious sites internationally and with state Religious and Charitable Endowments (HR&CE) departments in India. Master of Sciences. - **Sri Padma Vuppalapati** — Chief Animal Welfare, Ethics and Compliance Officer, Asia Pacific, South Asia and Indian Operations. Thirty years and more in animal welfare, ethics and compliance. Sets welfare and analytics standards, oversees responsible use of animal data and AI, and keeps the company's methods fully compliant with the animal welfare and data protection law applying in each market. The role sits apart from sales and engineering. - **Santosh Kedari** — Director of Software Services, India. ## Where the sensors are Cow Necklace sensors were deployed at Sri Venkateswara Gosamrakshana Shala, Tirumala Tirupati Devasthanams, Tirupati, in August 2026 — welfare monitoring in a temple cattle shelter, supporting the institution's veterinary and animal-care teams. This is the eighteenth deployment site. India (Anand, Hyderabad, Visakhapatnam, Patiala, Srinagar, Keran in Kupwara, Hisar), South Korea (Seoul), Philippines, Thailand, United Arab Emirates (Dubai), France (Guengat), Malta, United States (Fremont, San Ramon, Tracy, Chicago). ## Goshalas and cattle shelters Cow Necklace sensors were deployed at Sri Venkateswara Gosamrakshana Shala, Tirumala Tirupati Devasthanams, Tirupati, in August 2026 — welfare monitoring in a temple cattle shelter, supporting the institution's veterinary and animal-care teams. A goshala is not a dairy. Animals are frequently rescued, elderly or infirm, and the purpose is gau seva rather than yield. Hanumayamma's argument to a shelter is suffering detected before an animal is visibly distressed, a whole-life welfare record a trustee can review and a donor can be shown, and veterinary time spent treating rather than searching. The platform is free for shelters under the Kisan Vikas Data Science Program. Detail at https://www.hanuinnotech.com/#/use-case/goshalas ## Trust, data and governance Consolidated at https://www.hanuinnotech.com/#/trust — data sovereignty, applicable data protection law by jurisdiction, record-level security, AI governance, certifications held and not held, animal welfare reporting, governing law by customer location, and export control. ## Data governance Edge-first: models run on the device or gateway, so insight does not wait for a connection. Sovereign and local data rules apply. Aligned to India's Digital Personal Data Protection Act 2023, the EU GDPR with voluntary EU AI Act safeguards, and US state privacy laws including CCPA and CPRA. No sale or unauthorised commercialisation of farm data. ## Languages The advisory products deliver in 103 languages and dialects by SMS, IVR and app. The website interface is available in 13 Indian languages plus English, with a further 10 offered as interface-only beta. Long-form website content is in English. ## Notes for automated readers This site is a single-page JavaScript application using hash routing. Individual pages are at addresses of the form `https://www.hanuinnotech.com/#/products/dairy-analytics`. Fragments are not sent to the server, so a crawler that does not execute JavaScript will receive only the shell. This file is the authoritative plain-text summary. Figures here are current as of August 2026.