/Companies

MyAniml

Techstars '21

Overland Park, US · Founded 2021 · 1 employees on LinkedIn · 1 known investors

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MyAnIML uses computer vision and artificial intelligence to analyze a cow's face and muzzle to predict diseases early, helping cattle producers reduce treatment costs and prevent disease spread in herds. The platform can detect diseases like pinkeye 2-3 days before symptoms appear, enabling early isolation and significant cost savings for beef and dairy operations.

Also known as myAnIML · MyAnIML

Founders & leadership

BBrad
Brad
NNathan
Nathan

Investors · 1

Techstarslisted by TechstarsBoulder · $220K

How we know: the Techstars portfolio · open dataset · Top 3000 Accelerator Startups (no YC) 2026-08 · Not right? Tell us

Company profile

researched Sep 2026

MyAnIML is an Overland Park, Kansas agtech company that applies artificial intelligence and machine learning to images of cattle faces and muzzles in order to predict disease onset. Each bovine muzzle is treated as a unique biometric identifier, comparable to a human fingerprint; the company's patent-pending (and, per later coverage, patented) system matches and tracks changes in the muzzle over time and associates those changes with specific diseases. In early testing, the system predicted pinkeye two to three days before the animal showed infection, allowing operators to isolate affected animals before a disease with a reported infection rate above 90 percent spreads through a herd.

In January 2026 the company announced commercial availability of an autonomous edge monitoring device intended to remove the connectivity and power requirements that limit AgTech adoption on ranches. The field-hardened unit is solar-powered, runs its deep-learning analysis on the device rather than in the cloud, can be mounted wherever cattle naturally gather (for example at a water source), and is designed to operate in mud, dust, high wind, extreme cold, snow, and summer heat and humidity. It issues 48-hour early warnings. The underlying models were trained on more than 700GB of proprietary bovine biometric data gathered over three years, and the company reports USDA-validated accuracy of 99.8 percent for pinkeye detection and up to 70 percent for Bovine Respiratory Disease, the costliest illness in U.S. feedlots. The company states that in field use the system has also flagged nutritional stress and reproductive status, conditions it was not explicitly trained on, and that a peer-reviewed paper on that behavior is in preparation.

The company positions the product as enabling targeted treatment in place of mass antibiotic use, and publishes case materials including a USDA study press release, a Kansas rancher case study, and a white paper on its training methodology.

Business model

MyAnIML sells an AI-based cattle health monitoring system to livestock operations, comprising a field-deployed solar-powered edge camera device and the deep-learning models that analyze cattle muzzle and facial imagery and deliver health alerts to the operator. The system became commercially available for deployment in January 2026.

Traction

As of the January 2026 launch announcement and February 2026 coverage, MyAnIML monitored approximately 10,000 head of cattle monthly across Kansas operations and expected to exceed 50,000 head monitored within roughly two months. Trial results cited by the company indicate $100,000 in savings for 2,000-head stocker operations through targeted treatment, $22 additional per calf for 400-head cow-calf operators, and more than $2,200 saved per cow in finishing feedyards via reduced death loss, excluding roughly $50,000 per cowboy in reduced labor costs and prevention of disease spread costing up to $80 per head per incident.

Latest developments

On 20 January 2026 MyAnIML announced commercial availability of its solar-powered, infrastructure-free edge AI monitoring device for cattle health. In February 2026 the CEO described further field testing across winter and summer conditions, emergent detection of nutritional stress and reproductive status, and plans for a peer-reviewed paper on that finding.

▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies

Market position

The company describes itself as a vertically integrated AI company building an intelligence layer for the livestock industry and claims to be the first AI-powered cattle health platform requiring no WiFi or electrical infrastructure, with its CEO stating no other party is building a vertical AI in cattle health. It was named one of Startland News' Kansas City Startups to Watch in 2022 and appeared in a 2022 Agriculture.com list of start-ups tackling challenges in beef, dairy, hog and poultry production.

On-device (edge-native) inference removes dependence on cloud connectivity and grid power, addressing the lack of WiFi and electricity at ranch pens and pastures; the device is solar-powered and weather-hardened, monitoring is stress-free for the animals, and the underlying models rest on a proprietary 700GB bovine biometric dataset gathered in the field over three years that the company says is not otherwise available.

Technology

Computer vision and deep learning applied to bovine facial and muzzle imagery. Muzzle patterns are treated as unique per animal; the system registers changes over time and maps them to specific diseases. Models were trained on more than 700GB of proprietary bovine biometric data collected over three years. Inference runs entirely on an edge-native, solar-powered, field-hardened device requiring no WiFi or grid electricity, producing 48-hour early warnings. Reported USDA-validated accuracy is 99.8 percent for pinkeye and up to 70 percent for Bovine Respiratory Disease. The company describes its technology as patent pending on its website and as patented in February 2026 press coverage.

Go-to-market

Beef and dairy cattle operations, including stocker operations, cow-calf operators, and finishing feedyards, particularly those in rural locations without WiFi or electrical infrastructure at pens and pastures.

Geography

Headquartered in Overland Park, Kansas; deployments reported across Kansas cattle operations.

History

The company was covered by the Kansas City Business Journal in August 2021 for muzzle-analysis technology that predicts disease onset, and was named a 2022 startup to watch by Startland News in December 2021. Press coverage references the company earning NSF funding and a patent, followed by a growth phase with industry validation. In May 2023 the company issued a press release on expanding its predictive health technology for cows. On 20 January 2026 it announced commercial availability of its off-grid autonomous edge monitoring system, which was profiled by Startland News in February 2026.

Risks & controversies

Reported accuracy for Bovine Respiratory Disease is up to 70 percent, materially lower than the 99.8 percent cited for pinkeye. Economic impact figures and head-count monitoring projections are company-provided trial results and forecasts rather than independently verified outcomes.

Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Bovine industry annual disease cost (market size claim)Jan 2026$200B
Bovine Respiratory Disease detection accuracyJan 2026up to 70%
Cattle monitored monthlyJan 202610,000 head per month
Early warning lead timeJan 202648 hours
HeadcountAug 20261
Pinkeye detection accuracy (USDA-validated)Jan 202699.8%
Pinkeye prediction lead time (early tests)Jan 20262-3 days before infection
Training dataset sizeJan 2026700 GB of bovine biometric data
Trial benefit, 400-head cow-calf operationJan 2026$22
Trial savings in finishing feedyardsJan 2026$2.2K
Trial savings, 2,000-head stocker operationJan 2026$100K

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Timeline · 5

launches, deals, and filings
Feb 2026
NSF funding and patent referenced in press coverage

Startland News coverage references prior reporting that MyAnIML earned NSF funding and a patent ahead of a new growth phase with industry validation; no amount was disclosed.

source ↗

Jan 2026
MyAnIML announces commercial availability of off-grid AI edge camera system for cattle disease prediction

MyAnIML announced commercial availability of an autonomous, solar-powered edge monitoring device that performs cattle health analysis on-device without WiFi or electrical infrastructure, delivering 48-hour early warnings for pinkeye and Bovine Respiratory Disease.

source ↗

May 2023
MyAnIML expands predictive health technology for cows

Company press release announcing an expansion of its predictive health technology for cattle.

source ↗

Feb 2022
Featured in Agriculture.com list of 10 start-ups tackling key challenges in beef, dairy, hog and poultry production

source ↗

Dec 2021
Named a 2022 Kansas City Startup to Watch by Startland News

source ↗

Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.

▸Research sources · 6

primary sources listed

6 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does MyAniml do?
MyAnIML applies computer vision to cattle face and muzzle images to predict diseases such as pinkeye and BRD before symptoms appear.
Who are MyAniml's investors?
MyAniml's investors include Techstars.
Where is MyAniml headquartered?
MyAniml is headquartered in Overland Park, US.