Testing

Plurai

Build and run real-time AI evaluations and safety guardrails for your agents, using optimized small language models.

plurai.ai

Verified API available Free tier

Quick facts
What is it	Build and run real-time AI evaluations and safety guardrails for your agents, using optimized small language models.
Pricing	Freemium
Free tier	Yes
Platform	Web Application
API	Yes
Best for	Evaluating the performance and safety of AI agents in production, Applying real-time content filters and policy guardrails to AI outputs
Domain registered	2024

Data updated Aug. 1, 2026

What does Plurai do?

Plurai is a platform for building and running evaluations and safety guardrails for AI agents. It focuses on a process called 'vibe-training,' which creates custom testing sets and evaluators for specific tasks without needing pre-labeled historical data. You can use it to check if an agent's conversations are on-topic, compliant with policies, or factually grounded. The core idea is to move away from expensive, slow 'LLM-as-judge' methods.

The platform works by using optimized small language models (SLMs) that are purpose-built for your specific evaluation needs. According to the site, these SLMs can reduce failure rates by over 43% and cut costs by more than 8x compared to using a model like GPT-4. They also promise inference latency under 100 milliseconds, which is crucial for applying guardrails in real-time. For teams that need it, Plurai can be deployed on-premise within a company's own virtual private cloud.

This tool is built for developers and engineering teams who are deploying AI agents and need a scalable, cost-effective way to monitor and control their behavior. It's useful for ensuring agents in customer service, sales, or other automated workflows stay helpful, accurate, and safe. By providing a dedicated system for evals and guardrails, Plurai aims to let teams run these checks continuously across all agent interactions, not just on small samples.

AI inference Developer Tools LLM Testing

#agent-testing#ai-evals#ai safety#developer tools#guardrails#semantic-classification#small-language-models

Key features

What makes it stand out

Vibe-training process creates tailored evals and guardrails without prior labeled data

Uses optimized small language models (SLMs) for high accuracy at lower cost than large LLMs

Supports on-premise deployment in your VPC for data security and control

Offers sub-100ms inference latency for real-time guardrail applications

Handles semantic tasks like conversation evaluation, policy compliance, and grounding validation

Who is Plurai for?

Who benefits most from this tool

Evaluating the performance and safety of AI agents in production

Applying real-time content filters and policy guardrails to AI outputs

Validating the accuracy and grounding of AI-generated responses

Pricing

Free tier available — start without a credit card

Starter

Free

1M free tokens to try us out
1 Dedicated personal endpoint (free)
1 Synthetic eval test set for download

Plurai's SLM

Custom

0.15 price per 1k tokens
< 100 ms response latency
Up to 20 personal endpoints
20 downloadable Synthetic test set
Unlimited seats

Enterprise

Custom

On-prem deployment
Enterprise SSO
Customized inference price
Customized SLA
Broader SLMs usecases support
White glove service
Unlimited active endpoints

Trust & presence

Domain Domain registered 2024

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