The real world trust platform for AI agents

Simulation-driven evaluation, protection, and optimization — turning your agents into trusted, continuously improving production systems.

Train evals & guardrails for your use case

Trusted by developers from leading enterprises

Research-backed. 
Real-world production ready.

Our platform is grounded in breakthrough research that redefines how AI agents are evaluated, controlled, and improved, bridging the gap from prototype to reliable production at scale.

Explore our research

Explore our research

Agents and users are unpredictable. Traditional testing doesn’t work

Poorly trained agents break easily

Proper training and testing requires realistic  and exhaustive datasets. Creating test scenarios by hand is slow and incomplete, leaving gaps that your users discover first.

Unreliable evaluation methods provide false confidence

LLM-as-a-judge and other basic scorers miss the nuanced failures that matter to your business, blocking you from measuring what actually drives results.

Production mistakes are inevitable – and expensive

Even well-trained agents make errors. When those errors reach users, the business impact can be severe.

Simulation platform for production grade agents

Real world scenarios generation and automation for production ready agents and faster development cycles.

Production edge-case coverage expansion

15x

Shorter time to production

7x

Reduction in policy violation & hallucination

100x

Multi-modal by design: voice, documents & more

Simulated scenarios for authentic, challenging multi-turn interactions

Fully tailored to your product & policies

Automated via CI/CD workflows

Evals & Guardrails to monitor and prevent production mess ups

Evaluate and protect your production agents in minutes with highly accurate, cost-efficient evals and guardrails.

Failure rate reduction

vs GPT5-mini

>43%

Cost reduction

vs GPT5-mini

>8x

Inference
latency

<100ms

Intuitive experience of prompt -> SLM creation

Disruptive cost

State of the art accuracy

Featured in Gartner’s Market Guide for AI Evaluation & Observability Platforms, 2026

Research that moves the industry forward

We're on the forefront of applied research around GenAI in production, and we share our findings to help the entire industry move faster.

Guardrails

Serving hundreds of guardrails in real-time on a single GPU

Elad Levi

May 6, 2026

Introducing BARRED

Introducing BARRED: turn any policy prompt into a high-accuracy efficient guardrail

Elad Levi

Arnon Mazza

Apr 28, 2026

Agent Evals

Tracking emotional change to measure user Satisfaction with AI agents

Ben Weisbich

Elad Levi

Dec 2, 2025

Agent Deployments

Plurai uses NVIDIA nemotron and NIM software to speed time to LLM agents in production

Elad Levi

Amit Bleiweiss

Sep 9, 2025

Introducing IntellAgent

Introducing IntellAgent: your agent evaluation framework

PlurAi

Elad Levi

Ilan Kadar

Jan 21, 2025

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