A modular perception engine — detection, tracking, temporal reasoning, and scene understanding — built once, deployed across veterinary diagnostics, elderly care, surveillance, and autonomous systems.
Every living being processes the world through perception. We encode that capability into machines — precisely, reliably, and at the speed biology cannot match.
AdamEyes is built as a layered pipeline. Each layer is independently composable — applications take only the capabilities they need, from raw detection to full temporal scene understanding.
Current release: v1.1.0 · Packaged as installable engine · ONNX Runtime backend
Every AdamEyes product is the same engine, specialised. The perception layer is shared. The intelligence on top is purpose-built for the domain.
Upload a radiograph, ECG strip, or clinical photograph alongside your case notes. VetLens returns structured diagnostic reasoning — key findings, ranked differentials, red flags — in under 60 seconds. Specialist-grade clinical intelligence, available at every consultation.
Point any existing camera at a space and the engine tracks every person in it — identity, position, motion state — continuously. When a fall is detected, the system flags it instantly with entity continuity through the event, so nothing is lost in the moment that matters most. Live today as software. Dedicated always-on edge hardware in development for 24/7 deployment.
AdamEyes does not retrain foundation models from scratch — perception backbones, detection, and tracking are built on proven, swappable components (YOLO/ONNX, ByteTrack, OSNet). The differentiation is the layer above: AdamNerve's temporal reasoning, and domain-specific intelligence like VetLens's clinical system prompts, encoding expertise that took years to develop.
This approach means the engine improves as the underlying components improve — without retraining costs, and without the 12-month development cycles that make perception AI inaccessible to smaller teams and new verticals.
We do not build systems that guess. We build systems that observe, structure, and present — leaving clinical judgment where it belongs: with the clinician.
The intelligence in our systems is not statistical — it is encoded clinical knowledge. Fifteen years of practice, structured as reasoning frameworks the model follows.
Our products are explicitly framed as clinical decision support. We have no interest in replacing clinical authority. We have significant interest in augmenting it.
AdamEyes started as a general-purpose perception engine — detection, tracking, and scene understanding designed to work across any domain with a camera. Fifteen years of veterinary clinical practice — reading radiographs, interpreting ECGs, diagnosing from physical examination — shaped the first application built on top of it: a tool that gives every clinician access to specialist-level diagnostic reasoning.
The engine is domain-agnostic by design. VetLens is the deepest application of it today, and AdamEyes Vision applies the same core to safety and fall detection. Both run on the same foundation — only the intelligence layered on top changes.
AdamEyes is registered in India. We build for Indian veterinary practice and Indian care environments first — because these contexts are systematically underserved by global AI — and for the global market as the engine matures.
VetLens is live. Setup takes 90 seconds. No hardware required.
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