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Last updated Sep 15, 2026

TypeSafe AI model releases

San Francisco AI startup building "machine-native intelligence for software automation." Its System One line targets automation and agent workflows rather than general chat: models take unstructured input and emit typed, calibrated decisions and parallel structured outputs for tool use and classification. First model is Jev (Sep 2026). This page collects the lab's model releases, lifecycle events, source links, and model metadata in one crawlable record.

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Most recent in this set

Sep 15, 2026

Jev

TypeSafe AI

1 model

Jev

Preview
TypeSafe AIProprietary

TypeSafe AI's first "System One" model, released Sep 15 2026 in early access. Jev is built for automation workflows rather than chat or copiloting: it maps unstructured state to typed probabilistic decisions and emits parallel structured outputs (JSON / tool calls), trained with what TypeSafe calls Reinforcement Learning for Calibrated Decisions (RLCD). The company frames it as a "frontier-intelligence function call" — unstructured input in, calibrated decisions out — aimed at agents, classification, and tool use. Proprietary with conditional commercial use; weights are not released and the context window was not disclosed at launch. Served on a single TypeSafe AI serverless route priced at $0.042 per 1M input tokens with output free at launch. Not intended for vision or document-understanding workloads. Figures are vendor-reported and unverified by an independent harness at launch.

—Undisc.— ctxSep 15, 2026