What is Okareo?
Navigating the complexities of developing and deploying robust AI applications, especially those involving LLMs and agents, presents unique challenges. You need confidence that your models behave predictably, handle diverse scenarios, and remain accurate in production. Okareo provides a unified platform designed specifically for AI teams like yours, streamlining the entire lifecycle from evaluation and testing to monitoring and fine-tuning. Move faster, gain deeper insights, and build AI products you can trust.
Key Capabilities
🧪 Generate Comprehensive Test Scenarios: Automatically create diverse, production-like synthetic data (over 5 million scenarios generated to date!) covering edge cases, rephrasing, conditionals, misspellings, and more to thoroughly evaluate model robustness.
📊 Implement Automated Evaluations & Scorecards: Objectively assess model performance throughout the development lifecycle using pre-built and custom checks (including natural language, code generation) for adherence and specific behaviors.
🐛 Discover and Debug LLM Errors: Go beyond simple traces with detailed error analysis for runtime applications, including RAGs and agentic networks. Pinpoint issues with specific explanations, track them, and get guidance for resolution.
👀 Monitor Agent Behavior in Production: Utilize advanced monitoring tools to quickly identify errors, drift, and potential hallucinations in live environments, ensuring continued accuracy and reliability.
🔧 Fine-Tune Models for Peak Performance: Leverage the Fine-Tuning Co-Pilot to automate workflow for adapting foundational models to your specific use cases, including dataset generation and performance evaluation.
⚙️ Optimize and Customize: Fine-tune retrievers and generators to excel in specific domains, select the best foundational model for your cost/performance needs, and deploy fine-tuned models easily to cloud providers or self-managed environments.
🤝 Integrate Seamlessly: Work with virtually any LLM, vector database, or use case (classification, generation, multi-turn, function calling) and integrate with your existing workflows via proxy or OTEL tracing.
Practical Use Cases for AI Teams
Pre-Launch Agent Validation: Before deploying a new customer service AI agent, your team uses Okareo to generate thousands of synthetic user interactions, including common questions, edge-case complaints, and multi-turn dialogues. The platform's automated checks evaluate the agent's response accuracy, adherence to safety guidelines, and ability to handle function calls correctly, giving you confidence before going live.
Debugging a Complex RAG System: Your team notices inconsistent performance in a Retrieval-Augmented Generation (RAG) application. Using Okareo's monitoring and error discovery, you identify specific instances where the retriever fetches irrelevant context, leading to inaccurate generated answers. The detailed traces and explanations help you quickly pinpoint the root cause in the retrieval logic and implement a fix.
Domain-Specific Model Optimization: You need an LLM to generate highly specialized marketing copy for the fintech industry. Using Okareo, you define your desired outcomes and generate a targeted fine-tuning dataset based on evaluation results from a base model. The Fine-Tuning Co-Pilot guides you through adapting a foundational model, resulting in an LLM that produces more relevant, accurate, and context-aware content for your specific niche.
Build AI with Confidence
Okareo provides the tools and structured workflows necessary to move from prototype to production-ready AI with greater speed and assurance. By integrating evaluation, testing, monitoring, and fine-tuning into a single, cohesive platform, Okareo empowers your team to build more accurate, reliable, and efficient AI applications. Stop guessing and start building with data-driven confidence.





