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AI Model

Jev

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Decision model from TypeSafe AI that returns typed answers with calibrated probabilities instead of text

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About Jev

Jev is the first model from TypeSafe AI, a San Francisco company that came out of stealth on 15 September 2026. It is released in early access. TypeSafe calls it a System One Model because it makes decisions rather than generating text.

Features

  • Typed answers: a developer supplies unstructured input, such as a support ticket or document, and typed questions with answers defined in advance.
  • Calibrated output: every answer comes back at once with a probability and a confidence score.
  • Software decisions: classifying, routing, scoring, extracting, verifying and guardrailing.
  • Fast responses: TypeSafe gives end-to-end times of 70 to 500 milliseconds.

Key facts

  • Based in: San Francisco
  • Founders: Diogo Almeida, a former OpenAI researcher, Erik Gafni and Sasha Sheng
  • Funding: a seed round led by DCVC
  • Access: waitlist
  • Independent test: Every published a hands-on test, in which Jev read 37 documents quickly but caught six of seven planted defects, one fewer than a rival model
  • Training method: Reinforcement Learning for Calibrated Decisions

Profile written by TrustList from the business's own published information, Oct 2026.

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Trust Score

4/ 100
Trust Score: New

An earned signal from verification, reviews, awards, transparency and engagement — the vendor can't buy it.

Verification
0/100 · 20%
Reviews
0/100 · 30%
Awards
0/100 · 15%
Transparency
18/100 · 20%
Engagement
0/100 · 15%
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Updated 9/16/2026

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