Okareo
Okareo is a comprehensive AI/ML evaluation and monitoring platform that helps teams build reliable AI products by providing tools for testing, observing, analyzing and fine-tuning LLM applications and agent behaviors.
https://okareo.com/?ref=aipure
Product Information
Updated:Jul 16, 2025
Okareo Monthly Traffic Trends
Okareo received 3.8k visits last month, demonstrating a Significant Growth of 60.6%. Based on our analysis, this trend aligns with typical market dynamics in the AI tools sector.
View history trafficWhat is Okareo
Okareo is a platform designed specifically for AI development teams to accelerate the delivery of reliable AI products. Founded in 2023 by Matthew Wyman and Boris Selitser, Okareo provides a unified solution for evaluating, monitoring, and optimizing large language models (LLMs), AI agents, and retrieval-augmented generation (RAG) systems. The platform helps developers identify errors, prevent hallucinations, maintain accuracy in production environments, and streamline the development workflow from testing to deployment.
Key Features of Okareo
Okareo is a comprehensive platform for LLM evaluation, testing, and optimization that helps developers build reliable AI products. It provides tools for synthetic data generation, model evaluation, monitoring, and fine-tuning capabilities for various AI applications including RAG systems, agents, and generative models. The platform offers automated error discovery, performance metrics tracking, and collaborative features to streamline the AI development lifecycle.
Synthetic Data Generation: Creates diverse testing scenarios and synthetic data to evaluate LLM models with production-like conditions, helping identify edge cases and potential failures
Real-time Monitoring & Analytics: Provides advanced monitoring tools to track model performance, detect hallucinations, and maintain accuracy in production environments
Model Evaluation Framework: Offers comprehensive evaluation metrics and tools to assess model performance, including support for multi-turn conversations and custom evaluation checks
Fine-tuning Capabilities: Enables optimization of retrievers and generators for specific domains, with tools to compare performance against base models
Use Cases of Okareo
AI Product Development: Helps development teams build and test AI applications with robust evaluation and monitoring capabilities
Chatbot Optimization: Enables testing and improvement of conversational AI systems through multi-turn evaluation and conversation analysis
RAG System Development: Supports the development and optimization of retrieval-augmented generation systems with specialized testing and evaluation tools
Production AI Monitoring: Provides continuous monitoring and evaluation of deployed AI systems to maintain performance and reliability
Pros
Comprehensive suite of tools for AI development and testing
Flexible integration with various LLM models and frameworks
Strong focus on error discovery and quality assurance
Cons
Relatively new platform (founded in 2023)
May require technical expertise to fully utilize all features
How to Use Okareo
1. Sign up for Okareo: Go to app.okareo.com/account/sign-up to create a free account and get your API token from the landing page
2. Set up environment: Set the OKAREO_API_KEY environment variable with your generated API token. Install the Okareo CLI and required dependencies (Python or TypeScript SDK)
3. Initialize project structure: Run 'okareo init -l [python/typescript]' to create the basic directory structure with config.yml and flows folder
4. Create evaluation flows: Write test scripts in Python or TypeScript to evaluate your LLM outputs. Define scenarios, register models, and add evaluation checks
5. Generate test scenarios: Use Okareo's scenario generators (Rephrasing, Relevant Terms, Misspellings, etc.) to create diverse test cases for your model
6. Run evaluations: Execute evaluations using 'okareo run' command. This will test your model against the scenarios and generate detailed reports
7. Monitor results: View evaluation results and analytics on app.okareo.com dashboard. Analyze model performance, errors, and areas for improvement
8. Integrate with CI/CD: Add Okareo evaluations to your CI/CD pipeline using CircleCI orb or GitHub Actions for automated testing
9. Fine-tune and optimize: Use evaluation insights to fine-tune your models, improve accuracy, and prevent hallucinations before deployment
Okareo FAQs
Okareo is a platform that provides AI and LLM evaluation, fine-tuning, and feedback solutions. It helps machine learning builders evaluate and compare model performance during development, testing, and delivery, while automating model evaluation mechanics.
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Analytics of Okareo Website
Okareo Traffic & Rankings
3.8K
Monthly Visits
#3923031
Global Rank
-
Category Rank
Traffic Trends: Feb 2025-Jun 2025
Okareo User Insights
00:00:08
Avg. Visit Duration
1.85
Pages Per Visit
42.03%
User Bounce Rate
Top Regions of Okareo
US: 71.38%
IN: 27.69%
CA: 0.93%
Others: NAN%
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