Enterprise-grade simulation platform to prepare your agents to the real world, not the lab

Agents can’t be tested like traditional code. Real-world interactions are dynamic, multi-turn, contextual, and unpredictable.

Most existing solutions rely on static datasets or LLM-as-a-judge approaches that don’t scale, lack consistency, and rarely reflect real production complexity. Manual dataset collection is slow and almost never results in true production readiness.

At Plurai, we build high-fidelity synthetic datasets for you, tailored to your product, personas, and edge cases. These simulations include complex multi-turn scenarios and authentic artifacts such as emails, documents, and images.

We group evaluations into structured, runnable experiments, so you can consistently test new versions, measure regressions, and validate improvements before release.

The result: your agent is production-ready before it ever meets a real user, with CI/CD integration, continuous regression testing, and an optimization loop that keeps enriching your datasets as your product evolves.

Plurai integrates directly with your agent as a black box, interacting with it exactly like a real user would. We execute structured simulation scenarios and run relevant evaluations on specific turns or across full multi-turn sessions.

We can also integrate with your RAG pipeline and underlying databases to test grounding, retrieval quality, and other RAG-specific behaviors. Our simulation engine can ingest documents such as PRDs, policies, requirements, and past conversation samples to expand domain knowledge and increase scenario depth and realism.

Additionally, we can mock selected tools to fully control and stress specific flows within a scenario.

Our simulation engine is designed to adapt to your specific product and business use case. We own the customization process end to end, ensuring a smooth integration and a setup tailored precisely to your environment.

You can build a basic simulation framework in-house if your goal is limited coverage. But building a production-grade simulation system is far more complex than it initially appears.

Creating high-fidelity synthetic datasets, diverse and realistic personas, challenging edge cases, authentic artifacts, multi-turn consistency, and reliable evaluation logic requires significant time, iteration, and specialized expertise. Getting to a point where simulations truly reflect real production complexity, and not just “happy path” flows, typically takes much longer than teams anticipate.

If the cost of failure is low, internal tooling may be sufficient. But if diversity, depth, and production readiness matter, and the cost of error is high, it’s usually better to rely on a purpose-built platform designed specifically for this level of rigor and scale.

No. Plurai can work with whatever you already have, even if it’s minimal or unstructured.

We don’t require large historical datasets. Our system can generate high-quality synthetic data tailored to your use case, expand sparse inputs into diverse scenarios, and build meaningful evaluations from scratch. Whether you have thousands of conversations or just a PRD and a few examples, we can get you to production-grade coverage effectively.

Plurai supports a wide range of AI agents and agentic workflows, not just chatbots. Whether your agent handles customer conversations, internal copilots, RAG-based assistants, multi-step workflows, or tool-using agents, our framework can adapt to it.

If you have a specific use case in mind, we’re happy to discuss it and tailor the setup to your workflow and architecture.

No. Plurai is designed to work with your existing stack.

We integrate with a wide range of architectures, frameworks, and infrastructure setups, and customize the integration to fit your environment. As long as there’s a way to run your agent and communicate with it, which you already have, we can plug into it without requiring you to re-architect your system.

Plurai provides a full platform experience, including an SDK, CLI, and user interface for dataset and scenario generation, exploration, experiment management, and results analysis. You can run structured experiments, review detailed reports, analyze sessions visually turn by turn, and receive actionable fix suggestions before deployment.

The entire solution is deployed within your VPC, ensuring maximum security, data control, and compliance with your infrastructure requirements. It can also be connected directly to your CI/CD pipelines to enable automated regression testing and continuous validation with every release.