Veterinary AI Diagnostics

The disease your farm
can't see is the one that
costs everything.

Opalene brings AI-powered diagnostics to aquaculture and poultry — detecting outbreaks early, predicting mortality, and optimising every kg of feed, before loss becomes irreversible.

$5M+
Cost of a single fish farm outbreak
63M
Livestock farms without intelligent monitoring
8.7%
CAGR — aquaculture diagnostics market
The Problem

Two massive industries. Zero software intelligence.

Aquaculture and poultry together feed billions. Yet the farms producing them still rely on visual inspection, gut instinct, and reactive lab tests — methods as old as farming itself.

A bacterial bloom in a fish cage, an early respiratory infection spreading through a poultry shed — by the time symptoms are visible, the outbreak has already compounded. The diagnostic window has closed.

Meanwhile, antibiotic overuse erodes drug efficacy globally, feed waste drains margins silently, and farms have no predictive layer to act on. The tools exist in other industries. They have simply never arrived here.

72hrs
Average delay to outbreak diagnosis
Standard lab turnaround leaves farms flying blind through the most critical intervention window.
~70%
Feed cost as share of aquaculture expenses
Unoptimised feed schedules are the single largest controllable cost variable — and nearly all farms optimise manually.
48%
Of global antibiotics used in livestock
Without structured stewardship monitoring, farms overbuy and misapply — accelerating resistance across species.
The Platform

Opalene sees what the human eye misses — hours earlier.

Opalene integrates with existing farm cameras, sensor arrays, and field photographs to build a continuous, AI-interpreted health picture of every flock and pond. No lab. No delay. Actionable intelligence within minutes of capture — delivered to the farm manager's phone or desktop.

"From image to intervention in under 15 minutes — before the spread, not after."
🔬
Disease Detection
Computer vision models trained on veterinary image datasets identify lesions, gill discolouration, abnormal behaviour, and other early-stage markers from field photographs or live camera feeds.
Image AI · CV
📈
Mortality Forecasting
Predictive models ingest water parameters, stocking density, seasonal patterns, and historical mortality data to surface probabilistic loss alerts 48–96 hours in advance.
Predictive · Time-series
🌾
Feed Optimisation
Dynamic feed scheduling calibrated to growth stage, water temperature, dissolved oxygen, and real-time biomass estimates — minimising waste and maximising conversion ratio.
Optimisation · IoT
💊
Antibiotic Stewardship
Structured monitoring of antibiotic usage patterns, treatment outcomes, and resistance risk signals — providing farm managers and vets a shared dashboard for responsible prescribing.
Compliance · Analytics
How It Works

Four steps from farm to intelligence.

01
Capture
Field photos via mobile app, or continuous feed from compatible IP cameras and sensor nodes installed at the pond or shed.
02
Analyse
Opalene's vision models and multi-variable predictive engines process the data stream in near real-time against species-specific baselines.
03
Alert
Anomalies and risk signals surface as prioritised alerts to farm managers and connected veterinarians, with confidence scores and suggested actions.
04
Improve
Every intervention feeds back into farm-specific models, compounding accuracy over time. Opalene gets better the longer it runs on your operation.
Markets

Two industries. One diagnostic gap. Enormous stakes.

Aquaculture
$1.5B diagnostics market · CAGR 9.2%
Fish and shrimp farming is the world's fastest-growing food production sector — yet disease management remains entirely reactive. A single ISA or white spot outbreak can eliminate an entire season's yield overnight.
⚡ A single salmon farm outbreak: $5M+ in losses
Poultry
$900B global industry · Mostly unmonitored
With flock sizes of 50,000–200,000 birds per shed, individual animal observation is impossible. Early respiratory and enteric disease detection via image AI can prevent farm-wide mortality events before they cascade.
⚡ Avian flu biosecurity fines: $1M+ per incident
Livestock & Dairy
Expansion phase · Phase 2 roadmap
The same diagnostic infrastructure — image capture, multi-parameter prediction, vet-connected alerting — translates directly to cattle, swine, and dairy operations. A natural expansion of the Opalene platform post-aquaculture product-market fit.
⚡ India: 63M SME farms without digital health tools
Founder

Built by someone who grew up with the problem.

VST
Founder & CEO · Opalene
Vaibhav Singh Tomar
Founder & CEO

Vaibhav built Opalene from a conviction formed across years at the intersection of veterinary science, applied machine learning, and the operational realities of livestock farming in India and beyond. He has watched farms absorb catastrophic, preventable losses — not for lack of technology, but for lack of technology designed for where they actually operate.

The thesis is simple: the diagnostic tools that have transformed human medicine — computer vision, predictive modelling, continuous monitoring — should exist at the same standard for the animals that feed the world. They don't yet. Opalene is his answer to that gap.

Vaibhav brings deep domain knowledge of aquaculture disease vectors, poultry health management, and the specific workflow constraints of farm operations at scale. He is building Opalene to be the intelligence layer that veterinarians, farm managers, and agri-insurers rely on — not a research project, but a production system with real stakes at every deployment.

Founding Thesis
"Aquaculture and poultry are feeding the next billion people. They deserve the same diagnostic rigour we give ICUs. We're starting there."

Join farms already building with Opalene.

We're onboarding a small cohort of pilot farms and veterinary partners in 2025. No commitment required — tell us about your operation.

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