The problem
Robotics and autonomy teams drown in messy multimodal training data
What they do
Data infrastructure to curate, annotate and manage multimodal data for physical AI
Traction Physical-AI revenue 10x in 12 months; 300+ teams incl. Toyota, Skydio
Hiring trend
- Open roles
- 39
- Ops roles
- 2
- Headcount
- ~151
~151 staff; 39 open roles
Hiring in
- London
- San Francisco
- New York
Funding
- Last round
- $60M
- Stage
- Series C
- Date
- Feb 2026
Led by Wellington Management
- Hiring+239 open roles on the live job board (30+ roles = +2)
- Funding recency+1Series C · $60M, Feb 2026 (8 months ago): 6–12 months = +1
- Traction+1.5Strong growth: Physical-AI revenue 10x in 12 months; 300+ teams incl. Toyota, Skydio
- Red flags0None found in the last 24 months
- Total4.52 + 1 + 1.5 − 0 = 4.5 → Race (4.25–4.74)
Distance (Half) is a separate read on how long the lead can last. It doesn't change the score.
Distance
Half · edge: learns from use
Strong player in physical-AI data, 300+ teams incl. Toyota, revenue 10x; bigger data rivals exist.
Sources: Encord: $60M Series C (Feb 2026) ↗
Last checked Oct 25, 2026