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 watch pig, broiler and layer houses around the clock — 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.
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.
The barn you can see
Cameras and sensors that ring the alarm when a number crosses the line. We connect to the brands you already run — so you keep the hardware you already trust, and we build on top of it.
The barn that reacts
Automated environmental control — ventilation, climate, feeding, water and dosing. Common and widely deployed; we integrate with established climate and equipment partners rather than rebuild it.
The barn that spots sickness
Weight deviations, respiratory rales, lameness gait and behavioral stress surface days before manual inspection catches them — a tail-biting outbreak caught at the first nipped tails, feather-pecking caught before it spreads through the layer house, a respiratory break caught before it runs the broiler flock. That’s lower mortality per batch and fewer condemnations at settlement — the difference between a good cycle and a bad one. This is the part nobody else has cracked.
The barn that does the chores
Routine physical labor — inspection, mortality collection, cleaning, disinfection — handled without needing another pair of hands. Finding good farm workers is already hard; at L4, you stop competing for them.
The barn that runs itself
The barn keeps learning on its own and gets better at both the animals and the numbers. Every batch teaches it something. The farmer sets the target — FCR, cost per kg, welfare floor — and the farm finds the path.
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.
Why every other solution failed
Three ways the others fail, one root cause: they make their money selling you hardware, so the selling is where their interest ends. Ours starts where theirs stops — after install.
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.
