The farm that catches problems days before they cost you a batch
FCR creeping up half a point on a finishing pig batch, a sick bird hidden in a 20,000-head broiler house, lay rate sliding off peak in the layer shed - your workers walk the barn daily and still miss what's slowly going wrong. By the time it shows in the weekly numbers, the batch is already behind and the cost is locked in. DeepLoop closes the loop before it costs you a batch.
Eyes on every pen, every hour - and it acts on what it sees
What is DeepLoop?
DeepLoop is an AI livestock intelligence platform that uses standard cameras and computer vision to understand how pigs, broilers and layers behave - counting animals, estimating weight, tracking behaviour, and catching sickness, weight drift and welfare problems days before manual inspection would. Detections feed directly into farm records and decisions: headcount, mortality, feed conversion and days to market. No proprietary hardware - farmers source standard cameras themselves and pay a monthly fee per house.
Your workers walk every pen, every day - and still miss things. A pig coughing at night, days before it shows in the cough score. A broiler flock drifting off the heat lines, footpads reddening in wet litter under a leaking nipple. Feather-pecking creeping through a layer house as floor eggs climb and lay rate slips off peak. By the time it surfaces in your numbers - FCR, livability, lay rate - the batch is already behind and the cost is locked in. We start where manual observation ends: turning every signal from the animal, pen, and environment - gait, posture, distribution, intake, respiration - into decisions that close the loop automatically, before the number moves.
Sees every animal
Counts and tracks through crowded pens - even when animals pile up or block the camera.
Knows what's normal
Live count, weight, growth, mortality and behavior - checked the way a vet would check them.
Warns you early
Sickness flagged days ahead, plus records solid enough to settle a batch on.
Gets sharper
Every batch it watches, it learns your barn a little better.
How DeepLoop works
Watch
Cameras and sensors on the animals, the pen and the barn climate.
Decide
Spots trouble early and tells you why it flagged it.
Act
Adjusts feed, climate and alerts - or a robot handles the job.
Learn
Every batch makes the next one run better.
Solutions
AI Livestock Monitoring
AI livestock monitoring uses cameras and computer vision to understand how animals behave - counting them, estimating weight, tracking behaviour and flagging sickness days before manual inspection catches it. DeepLoop runs this on standard cameras you source yourself, across pig, broiler and layer houses.
Pig Farm AI Monitoring
Pig farm AI monitoring uses standard cameras and computer vision to watch every finishing pen continuously - counting pigs, estimating weight and flagging the subtle signs (a cough at night, a pig missing from the count, tail-biting starting in one corner) that quietly drag feed conversion. DeepLoop runs on cameras you source yourself, and turns each detection into an updated count, weight curve, mortality record and recalculated FCR.
Broiler Early Disease Detection
Broiler early disease detection uses cameras and computer vision to read a 20,000-head flock continuously - catching respiratory breaks, footpad lesions from wet litter, heat-line drift and brooding distribution problems before they pull livability down. DeepLoop runs this on standard cameras you source yourself, across every broiler house on the site.
Layer Feather-Pecking Detection
Layer feather-pecking detection uses cameras and computer vision to watch the flock continuously - catching the first pecks, the first bald patches and the shift in distribution that says feather-pecking has started, before it spreads and before lay rate slips. DeepLoop runs on standard cameras you source yourself, and turns each detection into an updated count, mortality record and lay-rate reconciliation.
Livestock Computer Vision
Livestock computer vision uses standard cameras and software to see what's happening in a barn - counting animals through pile-ups, estimating weight from the camera, reading gait and behaviour, and mapping distribution across the pen. It is the sensing layer that turns what your cameras already see into the counts, weights and warnings DeepLoop acts on.
Five levels of farm autonomy
Like the self-driving levels that reshaped cars - but for the barn. Each level is a step toward one goal: the farmer sets the target - FCR on the pig finisher, livability in the broiler house, lay rate in the layer shed - and the farm finds the way. L1-2 is the automation you can already buy anywhere - timers, sensors, climate boxes. L3 is where DeepLoop lives: a system that reads the animals themselves, days ahead of the human eye - almost nobody else does this. L4-5 is where we're headed: the farm that runs, heals and improves itself.
What it does
Everything from watching the barn to running it - alerts today, hands-off operation as you're ready.
Know your numbers live
Weight, count, intake and mortality as they happen - not at weigh day.
Barn runs itself
Feeding and climate adjust on their own to hit your targets.
Robots for the dirty work
Inspection, dead collection, washing and disinfection without extra hands.
Works with what you have
Connects to your existing feed system, climate controller and records.
It doesn't just spot problems. It handles them.
Most farm tech was built by people who never worked a barn - it counts and charts, but it doesn't understand what a missed sick pig costs you. We built ours the other way around.
What does a '2 pigs missing' alert actually do? We don't just alert - the system reconciles the pen headcount, updates the mortality record, recalculates FCR and ADG against the new stocking density, re-trims the feed curve and ventilation setpoints to match, and pushes a corrected days-to-market estimate to your settlement sheet. The same logic carries across species: a footpad spike re-rates broiler welfare and projected condemnations, a drop in hen-day production re-rates the layer flock. Every detection closes a loop.
Our team understands livestock production, not just model training. A missing pig moves ADG, FCR, feed volume and days-to-market all at once. A wet-litter patch under a leaking nipple line drives footpad lesions, hock burn and condemnations at the plant - weeks before the kill sheet shows it. Feather-pecking caught early in a layer flock holds the lay rate and keeps floor eggs and downgrades off the settlement. We don't just see the detection - we know what it costs downstream and what to do about it.
European systems charge 20-50K EUR in proprietary hardware plus annual licence fees, then freeze at install. Chinese systems take 100-200K RMB upfront and stop improving the day the cheque clears. DeepLoop sells you no hardware at all - we hand you an exact spec list of standard consumer parts - cameras, network switches and the like - and you source them yourself from any supplier, online or local, at cost. No proprietary connectors, no vendor lock-in, no markup. You pay for install plus a small monthly fee per house - nothing more. That's what finally puts the technology within reach of a small contract grower, not just a subsidised showcase farm. We only make money when the system earns its keep in your barn.
Most vendors never touch the product again after install day - they already got paid. Ours keeps improving: every batch, every house, every farm feeds back what the vet actually confirmed, and the improvements ship to your barn as updates you don't pay extra for. The system that watches your livestock gets sharper because it also watches pig, broiler and layer houses elsewhere - what it learns on one farm helps it spot the same trouble on yours. Every new farm that joins makes every existing farm's detection a little better. Others sell you a frozen snapshot; ours keeps learning. Every batch it watches, it gets a little sharper.
Principles that keep us honest
These are live animals, not warehouse shelves - a wrong move costs real money and real welfare. These are the rules every DeepLoop product is held to.
Loops over dashboards
A dashboard tells you what happened. A loop fixes it before you see it. We measure ourselves on outcomes changed, not charts rendered.
The vet signs off first
Every call the system makes is checked against what the vet actually found - not guesswork. If a vet wouldn't sign off on the call, the system doesn't make it.
Fail safe, not fail loud
At low confidence the system defaults to the last known safe state. It doesn't guess, and it doesn't freeze. A wrong autonomous move on a live animal costs more than a missed alert - so we bias to safe.
It shows you why
Farmers and vets must understand why the system acted. A system that can't explain itself doesn't earn trust in a barn. Every alert carries its evidence - the picture, the number, the line it crossed.
The loop must close
Every product completes the full sense → understand → decide → act cycle. Nothing half-built ships. A detection that doesn't drive an action is just a dashboard - and we don't build dashboards.
Every barn running itself - and running better every batch
The farmer sets the goal - and the farm finds the way. Every batch is a scoreboard: FCR on the pig finisher, livability in the broiler house, lay rate in the layer shed. DeepLoop reads it before you do, and adjusts before you have to. We're building toward the farm that handles the routine on its own - pig, broiler and layer alike: lower cost, better animal welfare, and more houses without more hires.
See it running in a real barn.
We're proving it now in real working pig barns, catching FCR drift, mortality and early disease as it happens. The same cameras and the same loop run across three kinds of farm - the pig finisher chasing FCR, the broiler house chasing livability, the layer flock holding lay rate: same setup, different animals, different numbers. Whichever you run - pigs, broilers or layers - let's talk.
