We read the depth, not just the surface — inferring the latent human state behind every signal, so any AI agent can understand the person, not just the prompt.
Every wave of computing has moved closer to us. The next one is measured not by speed or scale, but by how deeply the machine understands the human on the other side.
Even as AI goes multimodal, it still reads only the surface — not the person.
Without explicit input, it fails to grasp human complexity — and keeps missing what people actually need.
Acting autonomously on a shallow read doesn't just miss the person — it can quietly control them.
A human-understanding layer that plugs into any AI agent.
Observable inputs from multimodal data — everything happening on the outside.
The present moment — what the person is expressing, intending, and doing right now.
The lasting context beneath the moment — so understanding deepens over time instead of resetting.
Genuine human understanding your agent can act on — an interpreter for the unsaid: multimodal signals in, deep human state out, delivered to any agent.
As middleware — external (alongside an agent), built-in (inside its logic), or supervisor (governing many agents).
One line to connect via API, SDK, or MCP. We handle the heavy lifting — with inference kept strictly protected.
The accelerators and programs we've been selected for.