Internal Productvision
Innomium Sentinel
Compact person-detection skill for dense scenes — public ONNX package with a live browser demo.
Accuracy: ~92% (protocol)Size: 19 MBFormat: ONNX
Research
Research you can run.
Public edge vision models, Continuum1-9B long-context work, and evaluation practice that feeds client engineering programs. We publish artifacts and methods — not invented peer-review claims.
Research-grade evaluationProduction-minded engineeringResponsible handover
Active research programs
Each stack covers data and evaluation, model development, inference, and integration. Public releases give partners a concrete starting point.
Evidence note: Items below are Innomium internal products and technical demonstrations unless explicitly labeled otherwise. Named client case studies appear only with written publication approval.
Public releases and engineering artifacts
Internal Productvision
Innomium Vantage
Vehicle-detection skill for roadways and logistics scenes — compact ONNX with a public demo.
Accuracy: ~93% (protocol)Size: ~19 MBFormat: ONNX
Internal Productvision
Innomium Ember
Outdoor fire and smoke detection skill — public demo and edge-oriented ONNX packaging.
Accuracy: ~90% (protocol)Size: 19 MBFormat: ONNX
Internal Productllm
Continuum1-9B
Long-context foundation model with hybrid linear attention — open weights on Hugging Face.
Params: ~8.6BContext: 2M tokensMMLU: ~75% (protocol)
Methods & notes
All insights- visionBuilding the Innomium Vision LayerHow we turn existing camera infrastructure into real-time intelligence — without new hardware, cloud lock-in, or heavyweight models.
- visionSentinel Hits 92% on Crowd ScenesOur edge person detector now holds 92% accuracy on dense airport and stadium footage — in a 19MB ONNX package with a live browser demo.
- visionEmber: Outdoor Fire Detection for Mission SitesFire and early-smoke detection tuned for outdoor fuel, logistics, and perimeter monitoring — now shipping with live demos and an active builder challenge.
- visionVantage Reaches 93% on Highway ScenesVehicle detection optimized for toll lanes, merge points, and low-light traffic — compact enough for edge gates and parking operations.
Discuss a research-led engagement.
Scoped R&D, model adaptation, or production integration — start with the operating constraint.