The problem
Agents are easy to prototype but hard to make reliable in production
What they do
Open-source agent frameworks plus LangSmith to test, deploy and monitor agents
Traction 35% of Fortune 500; 1B+ open-source downloads; ARR undisclosed
Hiring trend
- Open roles
- 104
- Ops roles
- 2
- Headcount
- ~250 (est.)
~150 staff (Oct 2025) to ~200-300 (mid-2026 est.); 100 open roles
Hiring in
- San Francisco
- New York
- Boston
- Remote (Germany)
- Remote (US)
Funding
- Last round
- $125M
- Stage
- Series B
- Date
- Oct 2025
Led by IVP
- Hiring+2104 open roles on the live job board (30+ roles = +2)
- Funding recency+1.5Series B · $125M, Oct 2025 (12 months ago): 6–12 months = +1, $100M+ round +0.5
- Traction+0.75Some growth: 35% of Fortune 500; 1B+ open-source downloads; ARR undisclosed
- Red flags0None found in the last 24 months
- Total4.252 + 1.5 + 0.75 − 0 = 4.25 → 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: grows with users
Most-used agent framework: 1B+ downloads and 35% of the Fortune 500; revenue undisclosed.
Sources: LangChain: On agent frameworks and agent observability (Feb 2026) ↗
Last checked Oct 25, 2026