What is Plurai?

Plurai is a real-world trust platform for AI agents designed to bridge the gap from prototype to reliable production at scale. It provides simulation-driven evaluation, protection, and optimization tools that turn AI agents into trusted, continuously improving systems. The platform is research-backed and trusted by developers at leading enterprises like Microsoft, Google, and NVIDIA.

How to use Plurai?

Plurai allows developers to train evaluations and guardrails specifically for their use cases. By integrating with existing development workflows, users can generate realistic scenarios for testing, automate evaluations via CI/CD pipelines, and deploy guardrails to monitor and protect production agents in real-time.

Feature 1: Simulation Platform

Generates real-world scenarios and automates testing for production-ready agents, offering 15x edge-case coverage and faster development cycles.

Feature 2: Evals & Guardrails

Provides highly accurate, cost-efficient tools to monitor and prevent production errors, including the ability to turn policy prompts into high-accuracy efficient guardrails using technologies like BARRED.

Feature 3: Multi-modal Support

Designed to handle various data types including voice and documents, enabling authentic and challenging multi-turn interactions.

Use Case 1: Production Edge-case Expansion

Expanding the coverage of potential failure points that traditional testing might miss, ensuring agents are prepared for unpredictable user behavior.

Use Case 2: Reducing Hallucinations

Actively monitoring and protecting production agents to reduce policy violations and hallucination rates.

Use Case 3: Automated Evaluation

Using frameworks like IntellAgent to replace unreliable evaluation methods like basic LLM-as-a-judge with nuanced, business-relevant scoring.

Plurai Pricing

Plurai offers pricing plans tailored for different needs, though specific plan details require contacting the company or visiting their pricing page. The platform also references open-source components.