What is Plurai AI?

Plurai AI Platform provides simulation-driven evaluation, guardrails, and continuous monitoring for AI agents.It generates realistic multi-turn scenarios across modalities (voice, documents, chat) to surface edge cases and measure agent behavior under real-world conditions.

Automated evaluations integrate with CI/CD workflows to run regression tests, detect failures, and apply configurable policy controls before deployment.Analytics track failure modes, policy violations, and hallucinations to prioritize fixes and reduce production incidents.

Users can build tailored test suites, enforce customizable safety and compliance rules, and validate agent performance against business metrics.Designed for developers, ML engineers, and enterprise ops, the platform supports scalable testing, continuous improvement, and production readiness for conversational and multimodal agents.

Plurai AI pricing Free trial

Starter $0
Optimized llm $0.3/1m tokens
Pay as you go $0.15/1m tokens
Business (on-prem enterprise) customized

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Plurai AI's key features

  • Simulation-driven evaluation of AI agents
  • Realistic multi-turn, multimodal scenario generation (voice, documents, chat)
  • CI/CD-integrated automated evaluations and regression testing with configurable policy controls
  • Continuous monitoring and guardrails for deployed agents
  • Analytics for tracking failure modes, policy violations, and hallucinations

Plurai AI use cases

  • Validate and harden multimodal customer‑facing agents by running simulation-driven, multi-turn scenarios across text, voice, and images to detect hallucinations, policy violations, and performance regressions, then generate actionable reports for product and engineering teams
  • Integrate automated agent tests into your CI/CD pipeline to run regression, performance, and safety checks on every build, automatically block deployments that trip configurable guardrails, and monitor release trends with built-in analytics
  • Conduct compliance and safety audits for high‑risk domains (healthcare, finance, legal) by configuring domain-specific safety/policy guardrails, simulating realistic adversarial and edge-case conversations to expose failure modes, and export prioritized remediation steps for legal, security, and development teams

Who is it for?

  • Developers
  • Ml engineers
  • Product managers
  • Qa engineers
  • Enterprise operations

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