Most workplace "safety tech" is still outside-in. We've gone inside-out.
For decades, we've augmented machines to keep humans safe — proximity sensors, LIDAR, two-hand controls, camera monitoring. Cars got autopilot. Planes got flight management systems. The frontline worker got a hard hat and a checklist.
At Twelve Senses, we're flipping the model: we augment the human's own senses.
Our platform delivers AI-Powered Risk Intelligence for Deskless Workers — predicting human operational risk before it becomes an incident.
A wardrobe of industrial wearables — smart glasses first — captures continuous multimodal signals across 12 biological and physical modalities. Those streams flow through our proprietary Agentic Thalamus, an AI layer inspired by the brain's own sensory filter. It decides what is signal vs noise, what to store, and what to escalate. Then safety agents predict and prevent: fatigue, distraction, cognitive overload, heat stress, unsafe adaptation. A nudge to the worker. An alert to the supervisor. A clean event into Salesforce, ServiceNow, SAP.
Why now? Smart glasses have existed for a decade — but they stayed dumb. They captured data and played it back. The LLM revolution is now crossing into the physical world. AI can finally learn, interpret and anticipate continuous human signals in real time. That's the unlock.
In NVIDIA's Physical AI 5-layer cake, we sit at Layer 5 — but we're opinionated about every layer beneath: foundation models tuned for safety, hybrid edge-and-cloud inference, smart-glasses SoCs, and milliwatt-aware filtering for shift-length use.
The economics work because insurance works. 80–90% of workplace accidents trace to human factors. The average US workers' comp claim now sits at $47,316 (NCCI). One prevented incident pays back the platform many times over — which is why we're building the dual-buyer motion: enterprises and their insurers, aligned for the first time.
We're building the workplace angel.

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