Three families of products in active development, each shipping with a metacognitive model at its core. Each lands here when it's ready — with documentation describing what it does, who it's for, and where it falls short.
Different products, different surfaces. The same metacognitive discipline running underneath each one. When the AI you ship knows what it doesn't know, the rest of your product can be designed around real signal — not best-effort fluency.
Autonomous agents that take real work to completion — and stop when they're uncertain. Calibrated confidence at every step, and an honest escalation when an action would step past what the model is sure of.
Companion tools for research, writing, analysis, and code — surfacing their reasoning alongside the result, and how much to trust each step of it. Less guess-and-check; more grounded back-and-forth with a partner that flags its own uncertainty.
Vertical applications for fields where being confidently wrong has real cost — medicine, law, finance, science. Calibrated outputs, defensible audit trails, and clear signals about what needs human review.
Three products. One model layer underneath. Released when ready.