Plurai

What Plurai does

Plurai is a private AI software company headquartered in New York and incorporated in Delaware that provides an AI Agent Trust Platform for building, testing, evaluating, securing, and optimizing AI agents used in enterprise applications. The platform addresses production reliability challenges—hallucinations, policy violations, inconsistent responses, and the cost and inconsistency of LLM-as-judge evaluation—through two core integrated products: a Simulation Platform that generates hyper-realistic multi-turn conversation scenarios from organizational policies and PRDs, and an Evals & Guardrails product that deploys auto-trained Small Language Models for real-time policy enforcement at sub-100ms latency. Underlying technology includes multiple proprietary frameworks—IntellAgent (open-source agent evaluation), BARRED (synthetic guardrail training via asymmetric debate, published at ICML), SAGE (emotional trajectory scoring), Vibe-Training (prompt-to-classifier generation), and aLoRA (multi-adapter serving with 10–32x efficiency gains)—that together enable claimed >43% failure rate reduction and >8x cost reduction versus GPT-5-mini.

The company employs a hybrid go-to-market combining product-led growth and enterprise direct sales. The self-serve motion (app.plurai.ai) includes a free tier with 1M tokens, pay-as-you-go token pricing at $0.15–$0.30 per 1M tokens, and a Claude plugin distribution channel, targeting individual developers and small teams. The enterprise motion offers on-prem deployment within customer VPCs, custom SLAs, white-glove service, and multi-year contracts targeting enterprises deploying AI agents in production. Disclosed customers include developers from Microsoft, Google, NVIDIA, IBM, and Red Hat, alongside NVIDIA Inception program membership and Gartner Market Guide recognition in 2026. The company has 11–50 employees, was founded by Dr. Ilan Kadar (CEO) and Dr. Elad Levi (CTO), and has not publicly disclosed funding rounds or revenue figures.

Name

Plurai

Legal name

Plurai Inc.

Website

https://plurai.ai

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

Plurai provides an AI Agent Trust Platform for evaluating, securing, and optimizing enterprise AI agents through simulation-driven testing and auto-trained Small Language Models delivering real-time guardrails. It serves enterprise AI agent deployers and AI development teams via a hybrid self-serve and enterprise go-to-market model.

Ownership category

akta.pro rank

Product category

AI Agent Evaluation & Observability Platform

NAICS

Software Publishers (5132), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro industry

PRIMARYHDAEANAG

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII)

Hardware, Technology & Telecom/Enterprise Platforms & Databases/Artificial Intelligence Platforms for Enterprise

SECONDARYHDAAAKAE

Prompt Security & Injection Defense

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/AI Security, Privacy & Model Governance

SECONDARYHDAAABAF

Model Deployment, Serving & Inference Platforms

Hardware, Technology & Telecom/Artificial Intelligence & Machine Learning/ML Platforms, MLOps & Model Lifecycle Management

SECONDARYBPAEAHAG

Generative AI & LLM Solutions Services (RAG, Agents, Copilots)

Business & Public Services/IT & Digital Services (Managed Services, Systems Integration)/Data, Analytics & AI Services

Keywords

• AI agent evaluation
• AI guardrail enforcement
• Conversational AI testing
• AI simulation platform
• Small language models

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Usage-based token pricing: Tokens-based pricing for SLM (Small Language Model) evaluations and guardrails. Customers pay per million tokens processed, with different tiers for SLM vs optimized LLM options.
2. Enterprise subscription: Custom pricing for enterprise tier including on-prem deployment, SSO, customized inference pricing, broader SLM use cases, white-glove service, and unlimited active endpoints.
3. Freemium entry: Free starter tier offering 1M free tokens, 1 dedicated personal endpoint, and 1 synthetic eval test set for download to drive product adoption.

Pricing tiers

Go-to-market motion2 records

Distribution channels4 records

Marketing channels7 records

Core offering

Plurai provides an AI Agent Trust Platform for simulation-driven evaluation, protection, and optimization of AI agents used in enterprise applications. The platform includes a Simulation product that generates hyper-realistic multi-turn conversation scenarios and authentic artifacts to prepare AI agents for production, and an Evals & Guardrails product that delivers automated evaluation and real-time policy enforcement with sub-100ms latency. Underlying proprietary technology includes Small Language Models (SLMs), the BARRED framework for synthetic guardrail training, aLoRA efficient multi-adapter serving, and Vibe-Training for no-labeled-data classifier generation.

Product overview

Plurai is an AI Agent Trust Platform that provides a unified portfolio of products for simulation-driven evaluation, protection, and optimization of AI agents. The platform consists of two core integrated products: Simulation Platform for generating hyper-realistic multi-turn scenarios and production-ready agent testing, and Evals & Guardrails for automated evaluation and real-time policy enforcement. Supporting these core products are specialized frameworks including IntellAgent (open-source evaluation framework), Vibe-Training (automated classifier generation), BARRED (synthetic guardrail training via asymmetric debate), and SAGE (emotional satisfaction tracking). The platform is powered by proprietary SLM technology delivering >43% better accuracy and >8x cost reduction versus traditional LLM approaches.

Differentiator

Problem solved

Functional benefit

Brands

• IntellAgent: Open-source framework for evaluating and optimizing conversational AI systems through automated edge-case discovery and comprehensive performance analytics.
• BARRED
• SAGE
• aLoRA
• Vibe-Training

Products and services

• Simulation Platform Enterprise-grade simulation platform that generates hyper-realistic multi-turn conversations, automated personas, and authentic artifacts to prepare AI agents for real-world production scenarios, with multimodal support for voice and documents. Targets enterprise teams deploying AI agents in production, claiming 15x shorter time to production and 7x reduction in policy violations.
• Evals & Guardrails AI agent evaluation and protection product powered by auto-trained SLMs that delivers automated evaluation and real-time policy enforcement with sub-100ms latency. Targets enterprises deploying production AI agents, claiming >43% failure rate reduction and >8x cost reduction compared to GPT-5-mini.
• IntellAgent Open-source framework for evaluating conversational AI systems through automated edge-case discovery and comprehensive multi-turn simulation. Generates diverse scenarios and dialogues at scale with fine-grained policy analysis; available on GitHub with 2,700+ stars and 100,000+ downloads.

Quantifiable outcome

• 15x shorter time to production
• +5 more outcomes

Named customers5 records

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability10 records

Feature5 records

Partnerships

Four partnerships are on record, tiered core and supporting.

• NVIDIAcoreTechnology or Integration · 9 September 2025Plurai is a member of NVIDIA Inception program for startups. The IntellAgent framework integrates with NVIDIA NIM (NVIDIA Inference Microservices) and NVIDIA Nemotron reasoning models. This integration enables optimized runtime performance, enterprise-grade reliability, and cutting-edge reasoning capabilities for agent evaluation workflows.
• OpenAIsupportingTechnology or IntegrationOpenAI is listed as a subprocessor in Plurai's privacy policy. Customer data may be processed through OpenAI API to provide the Services. OpenAI acts as a data processor under their own policies.
• Google GeminisupportingTechnology or IntegrationGoogle Gemini is listed as a subprocessor in Plurai's privacy policy. Customer data may be processed through Google Gemini API to provide the Services. Gemini acts as a data processor under their own policies.
• LangChain/LangGraphsupportingTechnology or IntegrationIntellAgent framework is compatible with LangGraph Agents and integrates seamlessly with existing conversational agent workflows built on LangChain/LangGraph.

Scale indicators7 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• LangSmith: LangSmith (by LangChain) provides LLM application evaluation, monitoring, and debugging tools. Comparable to Plurai's evaluation platform, and Plurai's IntellAgent integrates with LangChain/LangGraph agents.
• Braintrust: Braintrust provides LLM evaluation, testing, and observability infrastructure for AI applications. Comparable to Plurai's simulation and evaluation platform, serving teams building AI agents in production.
• WhyLabs: WhyLabs offers AI observability and guardrails for LLM applications, including safety, privacy, and security monitoring. Competes with Plurai in the AI evaluation and guardrails category.
• Arthur AI: Arthur AI provides observability, evaluation, and guardrails for LLMs and AI applications. Comparable to Plurai's platform, targeting enterprise deployments of AI agents.
• Patronus AI: Patronus AI provides automated evaluation and security for LLM applications, including safety and policy compliance guardrails. Directly competes with Plurai in the AI agent evaluation and protection market.
• Galileo AI: Galileo offers evaluation, hallucination detection, and guardrails for LLM applications. Comparable to Plurai's BARRED and Vibe-Training capabilities, serving enterprises building reliable AI agents in production.
• Arize AI: Arize AI provides LLM evaluation, observability, and guardrails for production AI agents. Directly comparable to Plurai's Evals & Guardrails product, serving similar enterprise customers building AI agents and copilots.
• Confident AI: Confident AI (DeepEval) offers open-source and commercial LLM evaluation frameworks. Comparable to Plurai's IntellAgent open-source framework and evaluation platform, targeting AI development teams.

Emerging players

• Giskard: Giskard provides open-source testing and evaluation frameworks for LLM applications with safety and bias detection. Comparable to Plurai's IntellAgent open-source evaluation framework.
• RagaAI: RagaAI provides an LLM evaluation and observability platform with guardrails and hallucination detection. Emerging player in the same AI agent evaluation space as Plurai.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/plurai-ai/intellagent
• Xx.com/pluraiAI
• LinkedInlinkedin.com/company/plurai

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Plurai