The problem
Building a custom AI model needs scarce labeled data and weeks of expert tuning, and models go stale
What they do
Platform that optimizes training data and auto-tunes custom AI models that keep adapting
Traction Adaptive Data live with API/SDK since Apr 2026; early deployments avg 82% data-quality gain (company-stated)
Hiring trend
- Open roles
- 7
- Headcount
- ~38
(research, engineering, community), SF/US/UK; ~38 staff (Tracxn est.)
Hiring in
- San Francisco
- New York
- Remote (US)
Latest news
Sep 2026
Launched Invent a Dataset: describe a goal, get generated training data and a tuned model ↗Funding
- Last round
- $50M
- Stage
- Seed
- Date
- Feb 2026
Led by Emergence Capital
- Hiring+17 open roles on the live job board (3–9 roles = +1)
- Funding recency+1Seed · $50M, Feb 2026 (8 months ago): 6–12 months = +1
- Traction+0.75Some growth: Adaptive Data live with API/SDK since Apr 2026; early deployments avg 82% data-quality gain (company-stated)
- Red flags0None found in the last 24 months
- Total2.751 + 1 + 0.75 − 0 = 2.75 → Warm-up
Seed rule: seed-stage without strong traction starts in Warm-up whatever the score (Steady by score alone).
Distance (Unproven) is a separate read on how long the lead can last. It doesn't change the score.
Distance
Unproven
Seed-stage lab led by ex-Cohere research VP Sara Hooker; products only months old with no disclosed customers or revenue.
Sources: Fortune: Adaption Labs raises $50M seed (Feb 2026) ↗ · Adaption: Adaptive Data API and SDK (Apr 2026) ↗
Open ops roles
No ops roles open right now
Last checked Oct 25, 2026