1. [Home](https://www.g2.com/) 2. ... 3. [Large Language Model Operationalization (LLMOps) Software](https://www.g2.com/categories/large-language-model-operationalization-llmops) 4. [Okareo Discussions](https://www.g2.com/products/okareo/discuss) [ ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_a18b6b021074fa151b5ceccd075349ef/okareo.jpg "Product Avatar Image") ](/products/okareo/reviews) [ Okareo ](/products/okareo/reviews) 0 ratings Okareo is a comprehensive platform designed to enhance the development and deployment of AI products by providing tools for evaluating, monitoring, and fine-tuning Large Language Models (LLMs) and agent-based systems. It offers a suite of features that enable developers to simulate user interactions, generate synthetic data, and automate evaluations, ensuring AI applications are robust, reliable, and production-ready. Key Features and Functionality: - Synthetic User Simulation: Okareo allows the creation of synthetic users, known as Drivers, with specific contexts and goals. These Drivers interact with multi-turn agents to uncover unexpected behaviors and edge cases, replacing manual quality assurance with fast, repeatable, automated test runs. - Behavior Mapping: The platform builds comprehensive maps of agent behaviors across various scenarios, highlighting gaps, loops, and dead-ends. This enables teams to address issues at their root, rather than merely treating symptoms. - Automated Evaluation in CI/CD Pipelines: Okareo integrates with continuous integration and deployment workflows, running synthetic user simulations on every commit. This proactive approach helps catch failures early, facilitating the deployment of reliable agents with confidence. - Synthetic Data Generation: The platform offers tools to generate synthetic data scenarios, aiding in the evaluation of LLMs with production-like data. This feature is particularly useful for establishing baselines and expanding coverage to include new production failure modes. - Fine-Tuning Co-Pilot: Okareo automates the fine-tuning process of foundational models for specific use cases. It streamlines the workflow from defining outcome scenarios to evaluating LLM performance and fine-tuning models to fit precise requirements. Primary Value and Problem Solved: Okareo addresses the challenges associated with developing and deploying AI systems by providing a unified platform for evaluation, monitoring, and improvement. It ensures that AI applications are not only functional but also reliable and safe for production environments. By automating the detection of errors, generating synthetic data for comprehensive testing, and facilitating fine-tuning of models, Okareo empowers developers to build AI products with confidence, reducing the time and resources required for manual testing and iteration. Show More When users leave Okareo reviews, G2 also collects common questions about the day-to-day use of Okareo. These questions are then answered by our community of 850k professionals. Submit your question below and join in on the G2 Discussion. * * * ### 0.0 Nps Score ### All Okareo Discussions Search Most CommentedMost HelpfulCommon QuestionsNewest All DiscussionsDiscussions with CommentsCommon QuestionsDiscussions without Comments FilterFilter Filter byExpand/Collapse Sort by Most Commented Most Helpful Common Questions Newest Filter by All Discussions Discussions with Comments Common Questions Discussions without Comments Sorry... There are no questions about Okareo yet. ## Start a New Software Discussion Have a software question? Get answers from real users and experts [Start A Discussion](/products/okareo/discussions/new) * * * ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_a18b6b021074fa151b5ceccd075349ef/okareo.jpg "Product Avatar Image") ### Have you used Okareo before? Answer a few questions to help the Okareo community [ Yes ](javascript:void(0))[ Yes ](https://www.g2.com/login?context=product_review&return_to=https%3A%2F%2Fwww.g2.com%2Fproducts%2Fokareo%2Fdiscuss%3Fsmall_ask%3Dokareo) No