Eval infrastructure for AI agents, surfacing failure patterns and improving reliability.
Product memo
AI agents in production need reliable evaluation, especially complex, multi-step agents that interact with stateful services. Polarity offers sandboxed evaluation infrastructure, using real backing services like Postgres, Redis, and S3 within isolated Docker environments. This approach accurately captures failure modes that simpler mock-based tools miss, providing a higher degree of reliability for production AI.
For who
AI agents in production
Solves what
Eval infrastructure for AI agents, surfacing failure patterns and improving reliability.
- Sandboxed eval runtime
- Real backing services
- Failure pattern surfacing
In their own words
Polarity — the most accurate eval infrastructure for AI agents
Polarity monitors every agent decision in production, surfaces failure patterns before users hit them, and turns trajectories into evals that compound your agent’s reliability over time!
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • Tiered pricing with decreasing per-GB costs rewards higher-volume usage.
- • Free Starter tier lowers testing friction.
Operator context
Team
VC / larger team
Founded
May 2026
HQ
Canada
Platform
Web app
Audience
Developers
Public footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Vc Growth
- Effort
- Small Team
About Polarity Expand
Polarity offers specialized evaluation infrastructure designed for AI agents in production. It helps teams improve the reliability of complex, multi-step agents by providing a sandboxed eval runtime that interacts with real backing services like Postgres, Redis, and S3.
This approach allows developers to accurately identify and reproduce failure patterns, ensuring agents perform reliably in live environments. The platform also includes a seed reproducer for identical sandbox recreation and behavioral invariant scoring to track agent performance over time.
This focus on real-world conditions helps teams build more specific AI systems.