The problem
Labs and enterprises can't tell which AI model actually performs best for real tasks
What they do
AI evaluation platform and leaderboard (formerly LMArena) ranking models and agents on real-world use
Traction ARR from ~$30M in Jan 2026 to $100M+ by June; tens of millions of monthly visitors
Hiring trend
- Open roles
- 19
- Ops roles
- 3
- Headcount
- ~95
~95 staff; 20 open roles, almost all on-site SF
Hiring in
- SF Bay Area
- Remote
Funding
- Last round
- $200M
- Stage
- Series B
- Date
- Oct 2026
Led by Lightspeed, Khosla Ventures
- Hiring+1.519 open roles on the live job board (10–29 roles = +1.5)
- Funding recency+2Series B · $200M, Oct 2026 (this month): 6 months or less = +1.5, $100M+ round +0.5
- Traction+1.5Strong growth: ARR from ~$30M in Jan 2026 to $100M+ by June; tens of millions of monthly visitors
- Red flags0None found in the last 24 months
- Total5.01.5 + 2 + 1.5 − 0 = 5.0 → Sprint (4.75 or more)
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
The AI leaderboard everyone uses: tens of millions of monthly visitors and $100M+ ARR in 2026.
Last checked Oct 25, 2026