Get AI-powered alerts on early-stage illness, cross-pen spread, and treatment impact, before biosecurity breaches turn into losses.
Bring consistency to livestock disease detection with AI that scales, adapts, and learns from your herd data.
Mild symptoms like reduced feed intake or lethargy often go unflagged, until illness has already spread.
By the time illness is diagnosed visually, treatments become more aggressive, expensive, and less effective.
Manual pen riding often misses subtle signs, especially in large yards or during labour shortages.
When an animal gets sick, it’s hard to trace back exposure or risk sources without clean data.
From detection to decision-making, every feature of animal disease detection system drives faster
action and better outcomes in livestock health.
Analyze subtle health deviations before symptoms show to trigger earlier action and better outcomes.
Assign real-time risk scores using AI to reflect intake changes, behaviour shifts, and health history.
Trigger instant alerts when behaviour, movement, or intake patterns indicate early signs of disease.
Link pen-level conditions, like heat stress or moisture buildup, to emerging disease patterns for proactive action.
Visualize potential disease spread across pens, groups, or systems to guide faster containment responses.
Track animal-specific health trends, treatments, and recovery progress to inform current animal health management decisions.
Combine health signals across locations to detect emerging risks and environmental patterns at scale.
Get recommendations when and where to isolate flagged animals based on proximity, exposure and history.
Sync with thermal sensors or drone feeds to detect fever clusters without physical contact or handling.
Walk through the system that brings consistency, speed, and accuracy to animal disease detection.
Modules designed to operationalize AI for animal disease detection, making it consistent, scalable, and crew-ready.
Transform animal-level data into early health risk profiles using AI-trained scoring across behavior, intake, and vitals.
Centralize real-time visibility of disease activity across pens, barns, and groups using location-aware health signals.
Use detection intelligence to anticipate disease cycles, align resources, and plan proactive herd health strategies.
Built with species-specific models that reflect real disease behavior across
grazing herds, confined groups, or aquatic systems.
Catch illness early in high-density pens or pasture rotations, before symptoms hurt gain, intake, or pull rates.
Detect subclinical issues like mastitis sooner, without waiting for milk drops or visible distress.
Spot digestive or respiratory shifts early in herds, where signs are often subtle and easily missed.
Monitor flock-wide health patterns in real time, triggering fast action when spread can happen in hours.
Track low-visibility symptoms in seasonal or rotational grazing systems, where individual checks are rarely consistent.
Detect fast-moving infections in tightly housed groups, flagging changes before appetite, behavior, or respiration drop.
Surface early disease stress in water environments where visual inspection isn’t possible and losses scale fast.
Manage every animal, weight gain, health event, and breeding cycle, all from one intuitive app built for beef and dairy operations.
Synchronize all your app workflows with livestock management software, which helps you avoid switching systems just to get one complete picture of your livestock operation.
Get a closer look at how livestock operations run smoother with custom livestock management solutions built to meet their day-to-day needs.
Read what our clients say about their experiences and the difference our solutions have made for them.
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At Folio3, we use historical behavior and sensor data, like step count, intake, and rest time, to train models that recognize early signs of illness. This helps our system catch health issues sooner and with greater accuracy than manual checks, reducing false positives and missed detections.
Yes. Folio3’s system flags subtle behavior shifts, like more lying time, altered gait, or a drop in activity, often seen before conditions like mastitis or digital dermatitis show visible symptoms. This lets producers respond earlier, reducing the severity and cost of treatment.
Folio3 integrates IoT tags, thermal sensors, and camera feeds to track key indicators such as body temperature, mobility, and posture. This data is analyzed continuously to build a real-time health map across your pens, allowing issues to be caught and acted on earlier.
Absolutely. For large herds and hard-to-access areas, Folio3 supports thermal drone feeds and remote video analytics to monitor herd movement, detect hot spots, and flag abnormal patterns that suggest disease risk, without relying on manual observation.
We clean and normalize data from wearables, feeding systems, and environment monitors before feeding it into our detection models. It's then grouped by breed, age group, housing type, and historical outcomes to ensure accurate, pen-specific predictions for each operation.
Yes, and this is core to our platform. Folio3 syncs feeding logs, temperature trends, rumination stats, and movement history into a unified view. Our system flags animals or groups showing concerning deviations across these inputs, helping you catch problems early.
Yes. Our system tracks both individual and group trends. Whether you're monitoring 100 animals or 100,000 across multiple sites, Folio3 delivers disease detection insights that scale with your herd, helping you improve response speed and reduce overall health losses.
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