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.

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Meetstream AI enhances platform reliability and scales development with Paragon

Meetstream AI

About the company

Meetstream AI provides a cutting-edge platform for interactive virtual events and live streaming, helping businesses connect with global audiences in real-time. As a high-growth startup, maintaining platform stability while rapidly shipping new features is their top priority.

Industry: Live Streaming / MarTech

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40%

Reduction in Production Bugs

2x

Faster Developer Onboarding

85%

Test Coverage Improvement

3.2x

Deployment Frequency Increase

Overview

As Meetstream AI experienced explosive user growth, their engineering team faced a critical challenge: how to scale their development velocity without sacrificing the code quality and platform reliability their users depend on. Their manual review process was becoming a bottleneck, and they needed a solution that could ensure stability at scale.

Today, Polarity works alongside Meetstream AI's engineering team as a true collaborator:

  • AI-driven reviews maintain code health during periods of rapid growth.
  • Proactive detection of performance bottlenecks and potential security vulnerabilities.
  • Seamless integration into their CI/CD pipeline provides a frictionless QA process.
  • Dedicated support helps optimize rules and configurations for their specific infrastructure.

How Meetstream AI uses Polarity

Polarity supports Meetstream AI's technical teams across a range of functions.

Eng AreaTypical Polarity TaskImpact
Platform StabilityProactive Bug Detection40% reduction in production bugs
Developer VelocityAutomated Onboarding Reviews2x faster developer onboarding
Quality AssuranceAutomated Test Generation85% test coverage improvement

Try Polarity today.

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