Revolution in cattle monitoring

FusionAI is an intelligent system for livestock farms powered by artificial intelligence and computer vision. We build solutions that automatically track herd health and behavior, detect disease symptoms at early stages, and optimize farm operations.

Our goal is to help farm owners reduce treatment costs, cut culling rates, increase herd productivity, and grow profitability.

The FusionAI system uses surveillance cameras and machine learning algorithms that analyze animal behavior and appearance around the clock.

The algorithms capture gait, posture, poses, udder condition, and other parameters. Based on these observations the system spots early signs of lameness, mastitis, bursitis, and other diseases, generates alerts, and sends them to the farmer via the admin panel, Telegram, or SMS.

This lets the farm respond to a problem before serious symptoms appear.

Yes, FusionAI scales to any farm size.

Small farms (50–200 head) only need a few cameras and a transmitter to run the core analytics.

Large complexes (1,000+ head) use distributed computing and multiple modules that process dozens of video streams simultaneously.

The cost of implementing FusionAI depends on several factors:

• herd size;
• selected modules (lameness, mastitis, feed table, etc.);
• number of cameras and server hardware;
• engagement format.

We offer flexible pricing — from pilot deployments with minimal investment to large-scale projects for agroholdings.

To calculate an exact quote, submit a request on the website and we'll prepare a complimentary personalized proposal for your farm.

No, you don't need dedicated staff to run the system. FusionAI was designed as an automated solution for the farm.

All processes — video analysis, disease detection, alert generation — run in the background on the server.

Farm teams only receive ready-made insights in the admin panel, mobile app, or Telegram notifications.

Maintenance is limited to simple tasks: checking camera uptime, installing updates (handled remotely by our team), and reviewing alerts.

As a result, the system doesn't increase workload — it saves time, helping staff quickly spot at-risk animals and focus on treatment and care.