TypeSafe AI

TypeSafe AI is a San Francisco frontier AI lab building machine-native, composable AI: models designed to work as primitives inside software rather than as conversational assistants for people. Its first model, Jev, is a System One model trained with Reinforcement Learning for Calibrated Decisions (RLCD) that returns typed decisions with calibrated confidence scores at under 100 milliseconds of latency, so software can automate economically valuable work and escalate only low-confidence cases. Founded by ex-OpenAI researcher Diogo Almeida, co-inventor of RLHF, together with Erik Gafni and Sasha Sheng, the company emerged from stealth in September 2026 with a $40M seed round led by DCVC.

  • Seed
  • AI/ML
  • Deep Tech
  • Software & Internet

1

Round

1

Industry

3

Tags

Sep 15, 2026

Latest raise

Funding activity · 1 round

Raise timeline

  1. Sep 15, 2026

    $40M

    Seed

    Led by DCVC

    • DCVC

    Article coming soon.

Pricing

Research TypeSafe AI — then scale the playbook

Public hubs orient you on the raise. Paid plans unlock live AI adoption signals across your market.

Enterprise

Custom pricing for unlimited scale. Let's talk.

Contact sales

Growth plan

For individuals and small teams getting started with AI buyer intelligence.

$149

/month

Features

  • Access to core AI adoption signals
  • 3–5 curated slices per week
  • 30–60 companies / week
  • AI Adoption Score
  • Deal-ready insights (why + pitch angle)
  • Basic filters (recency, slice, score)
  • CSV export
Most popular

Pro plan

For outbound teams and agencies that need more coverage and faster signal cadence.

$249

/month

Features

  • Everything in Growth, plus:
  • Full access to all slices
  • 60–120 companies / week
  • Higher-frequency signal updates
  • Priority / early signals (before Growth)
  • Advanced filters (industry, size, use case)
  • Deeper company insights
  • Faster export + bulk workflows

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