Typesafe AI Series A Funding: $870M Raised at $7.5B Valuation

TypeSafe AI’s Jev, the first System One model, delivers frontier‑level intelligence for structured decision tasks at 40‑200× lower latency and 100‑500× lower cost than comparable LLMs, while guaranteeing type‑safe outputs and calibrated confidence scores.

OpenAI can likely replicate and integrate TypeSafe’s Jev classifier because it already uses token‑level micro‑classifiers and has the data, compute, and product expertise to turn Jev’s approach into a built‑in capability.

Laya delivers sub‑35 ms calibrated decisions across 100+ languages, open‑source weights, and 6–8× lower latency than TypeSafe AI’s proprietary Jev.

Hermes Jev Skills adds a cheap “second brain” to AI agents. It lets the agent off‑load routine decisions—model routing, search ranking, email sorting, turn selection, etc.—to TypeSafe’s Jev decision model (≈ $0.00006 per call, ~0.4 s). The repo provides a Python‑only CLI, eleven ready‑to‑use skills, a Hermes plugin, and a dashboard for monitoring. Data sent to Jev is heavily redacted, and the system fails open if Jev is unavailable. Install via `install.py`, set up a TypeSafe key, and enable features with `/jev` slash commands.

Andreessen Horowitz has invested billions in AI, gambling, and fintech startups that profit from deception, regulatory loopholes, and consumer harm while simultaneously lobbying to shape lax AI policy.