Relari AI

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Trusting your AI Agents should not be hard. Relari pioneers contract-based development to help AI teams to define, verify, and inspect complex agentic behaviors.0
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What is Relari AI?

Trusting your AI agents shouldn’t feel like a leap of faith. Relari AI simplifies the process of building, testing, and deploying AI agents by introducing Agent Contracts—a natural-language framework that lets you define, verify, and improve complex agent behaviors. Whether you're building enterprise-grade AI systems or experimenting with cutting-edge LLM applications, Relari helps you move faster and with confidence.

Key Features:

🔹 Agent Contracts
Define how your AI agents should behave in plain English. Relari turns these contracts into automated tests, ensuring your agents follow the intended logic and reasoning steps—no more guesswork.

🔹 Custom Synthetic Test Cases
Generate realistic, domain-specific datasets to stress-test your agents across diverse scenarios. This ensures your AI can handle edge cases and real-world complexity.

🔹 Agent Simulation
Create custom simulators to test your agents against a wide range of user personas and interaction patterns. Multiply your test coverage without manual effort.

🔹 Trace Analytics
Get detailed insights into how your agents execute tasks. Relari analyzes execution traces to pinpoint issues and verify compliance with your contracts.

🔹 Platform-Agnostic Integration
Works seamlessly with any agent framework—LangGraph, LlamaIndex, AutoGen, or custom setups. Just log your agent’s execution traces, and Relari handles the rest.

Use Cases:

  1. Enterprise RAG Systems
    Relari’s synthetic datasets and deterministic evaluations help you optimize retrieval-augmented generation (RAG) systems, reducing costly LLM token usage and improving accuracy.

  2. Customer Support Agents
    Test your AI support agents across diverse customer personas and scenarios to ensure they handle inquiries, refunds, and policy checks reliably.

  3. Coding Agents
    Accelerate development by benchmarking and validating coding agents with high-quality synthetic datasets and granular performance metrics.

Why Relari?

Building AI agents is hard. Traditional metrics like correctness and faithfulness only scratch the surface, often missing critical issues in how agents execute tasks. Relari’s contract-based development approach provides a comprehensive framework to:

  • Verifyagent behavior at every step.

  • Iteratefaster with data-driven insights.

  • Deploywith confidence, knowing your agents are reliable and robust.

Conclusion:

Relari AI is your partner in building trustworthy, production-ready AI agents. By combining natural-language contracts, synthetic test cases, and trace analytics, Relari empowers AI teams to move from demo to deployment faster and with fewer headaches.

Ready to take the guesswork out of AI development? Get started for free or explore our docs to see how Relari can transform your workflow.


More information on Relari AI

Launched
2023-05
Pricing Model
Free Trial
Starting Price
Global Rank
2843564
Follow
Month Visit
7.4K
Tech used
Webflow,Amazon AWS CloudFront,cdnjs,Cloudflare CDN,JSDelivr,unpkg,jQuery,Gzip,HTTP/3,OpenGraph,HSTS

Top 5 Countries

48.19%
29.97%
11.05%
8.73%
1.78%
India United States Canada Taiwan Japan

Traffic Sources

7.67%
1.38%
1.6%
10.21%
38.34%
40.74%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 25, 2025)
Relari AI was manually vetted by our editorial team and was first featured on 2025-01-26.
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