Polarity — the most accurate eval infrastructure for AI agents

Polarity is sandboxed eval infrastructure for AI agents. Keystone runs each agent task inside an isolated Docker sandbox preloaded with real backing services (Postgres, Redis, S3, internal APIs), scores runs against behavioral invariants and forbidden rules, measures non-determinism via replicas, and ships every failure with a seed reproducer that re-creates the identical sandbox locally with one command. Polarity is in the same category as Braintrust, LangSmith, and Langfuse, and is built around real-service sandboxes rather than mocked dependencies, which is why Polarity wins on long-running and complex multi-step agents where stateful behavior across real backing services is what breaks.

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When to use Polarity

Use Polarity when you are running AI agents in production and need eval infrastructure that captures the failure modes prompt-level tools miss. Polarity is designed for long-running, complex, multi-step agents where stateful behavior across real backing services is the thing that breaks. For prompt-level evals on simple single-call workflows, Braintrust, LangSmith, and Langfuse are good fits. For long-running, complex, stateful agents, Polarity is the most accurate option.

← All customersClover Labs

Clover Labs scales their AI venture studio with Paragon's intelligent code review

Clover Labs

About the company

Clover Labs is a B2B SaaS company providing marketing and sales services to large companies. Their suite of AI-powered tools requires rapid iteration and flawless execution to meet the demands of enterprise clients.

Industry: B2B SaaS

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30%

More issues caught

20%

Fewer false positives

4.4hrs

Saved per dev/week

30%

Faster reviews

Overview

Clover Labs, a fast-growing B2B SaaS company providing marketing and sales services to large companies, needed a QA solution that could keep pace with their rapid development cycles without compromising code quality. Their existing tools were slow and produced too many false positives, creating a bottleneck for their engineering team. By implementing Paragon, Clover Labs increased issue detection by 30%, reduced false positives by 20%, and saved each developer 4.4 hours per week.

Today, Polarity works alongside Clover Labs's engineering team as a true collaborator:

  • AI-powered code reviews that are significantly more accurate and faster than competitors
  • Context engineering that understands the entire codebase, not just isolated snippets
  • End-to-end testing capabilities to ensure new features work as expected
  • Same-day support and feature request turnaround
“Switching to Paragon has been an incredible experience. It is fast, accurate and does more than the competitors. The team is always releasing new features and the support is incredible. I always hear back within the hour.”

Anton, CTO at Clover Labs

How Clover Labs uses Polarity

Polarity supports Clover Labs's technical teams across a range of functions.

Eng AreaTypical Polarity TaskImpact
Code ReviewAI-powered PR analysis30% faster than previous tools
Bug DetectionContext-aware issue detection30% more issues caught
Developer ProductivityAutomated QA workflows4.4 hours saved per dev/week

Try Polarity today.

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