Company
Engineers, at full stride.
Pacer Intelligence builds open infrastructure for self-improving agents. We believe every model should get better from the work it already does — automatically, verifiably, and on infrastructure its owners control.
What we believe
- 01
Production is the best teacher
The failures your users hit every day are more valuable than any benchmark. PI learns from them automatically.
- 02
Open beats closed
Frontier research shouldn’t be gated by closed clusters. Our stack is built on open environments, open trainers and open models.
- 03
Engineers should build, not babysit
Reward engineering, eval curation and pipeline plumbing are overhead. We automate them, so teams move at full stride.
FIG. 01 / EFFICIENCY
3.2×
Avg. improvement per cycle
FIG. 02 / VELOCITY
48 h
First improvement deployed
FIG. 03 / SCALE
100B+
Parameters on-stack
FIG. 04 / LABOR
0
Reward functions written
Self-generating eval suites
Auto-instrumented agents
RL across 2,500+ environments
Serverless model inference
Real-time training observability
Production data flywheel
[ What teams say ]
"We used to spend two weeks curating evals. PI generates better evals from failures in two hours. We just don't think about reward engineering anymore."
Get in touch
- Training & compute
- Request training →
- Support
- support@pacerintelligence.ai
- Security
- security@pacerintelligence.ai
[ Ready? ]
Your model should get smarter while you sleep.
Engineers, at full stride. Point PI at your checkpoint — first improvement in about 48 hours.