EvalsOne is the ultimate AI evaluation platform for optimizing GenAI apps, LLM prompts, and RAG workflows. Streamline LLMOps with automated rule-based or LLM-powered evaluations, human input integration, and multi-model support (OpenAI, Claude, Gemini). Boost efficiency with ready-to-use evaluators, customizable templates, and clear reports—ideal for developers and researchers. Try EvalsOne today for confident, competitive AI development!
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Published:
2024-09-08
Created:
2025-05-03
Last Modified:
2025-05-03
Published:
2024-09-08
Created:
2025-05-03
Last Modified:
2025-05-03
EvalsOne is an all-in-one evaluation platform designed to optimize GenAI-driven applications. It streamlines LLMOps workflows by offering rule-based and LLM-based evaluation approaches, human integration, and comprehensive model support. Ideal for prompt crafting, RAG fine-tuning, and AI agent assessment, it helps teams build confidence and gain a competitive edge in AI development.
EvalsOne is tailored for AI developers, researchers, and domain experts working with generative AI applications. Teams involved in LLMOps, from development to production, will benefit from its intuitive interface, evaluation automation, and collaborative features. It’s also suitable for businesses leveraging OpenAI, Claude, or other LLMs for AI-driven solutions.
EvalsOne excels in AI development stages, from prototyping to production. It’s ideal for evaluating LLM prompts in RAG systems, benchmarking AI agents, or fine-tuning generative models. Compatible with cloud (Azure, Bedrock) and local (Ollama) deployments, it supports diverse scenarios like academic research, enterprise AI optimization, and multi-model comparison workflows.
EvalsOne is an all-in-one evaluation platform designed to optimize GenAI-driven applications. It streamlines LLMOps workflows by offering tools for prompt crafting, RAG fine-tuning, and AI agent evaluation. With rule-based or LLM-based automation, seamless human evaluation integration, and support for all LLMOps stages, EvalsOne helps teams build confidence and gain a competitive edge in AI development.
EvalsOne simplifies LLMOps by providing an intuitive interface for creating evaluation runs, organizing them in levels, and forking runs for iterative analysis. Teams can compare multiple prompt versions, generate clear evaluation reports, and collaborate across roles—from developers to domain experts—making AI optimization faster and more efficient.
Yes, EvalsOne supports evaluation for models deployed locally or in the cloud. It works with Ollama for local models and APIs for custom deployments, alongside integrations for major providers like OpenAI, Claude, and Mistral. You can also connect cloud-run containers from Azure, Hugging Face, and more.
EvalsOne includes preset evaluators for common scenarios, such as rating, scoring, or pass/fail judgments, and provides reasoning behind results. Users can also create custom evaluators using templates, ensuring compatibility with industry standards and adaptability to complex evaluation needs.
EvalsOne reduces manual effort by offering templates, variable value lists, and OpenAI Evals compatibility. Users can quickly generate samples by pasting Playground code or leverage LLMs to intelligently expand datasets, saving time for creative optimization tasks.
Absolutely. EvalsOne is designed for diverse GenAI applications, including AI agents and RAG processes. It supports iterative testing, comparison of prompt versions, and integration with tools like Coze or Dify, making it ideal for refining retrieval-augmented generation and agent-based systems.
Yes, EvalsOne seamlessly integrates human judgment alongside automated evaluations. Teams can combine expert feedback with rule-based or LLM-driven assessments, ensuring comprehensive validation for nuanced or high-stakes AI applications.
EvalsOne integrates with major cloud platforms, including Azure, AWS Bedrock, and Hugging Face containers. It also supports models from providers like OpenAI, Gemini, and Mistral, offering flexibility for teams using hybrid or multi-cloud environments.
Yes, EvalsOne allows users to create and compare multiple prompt variations within a single evaluation run. This feature helps identify optimal phrasing, structure, or parameters, accelerating iterative improvements for GenAI applications.
EvalsOne fosters teamwork with shared evaluation runs, forked analysis paths, and centralized reporting. Its intuitive interface bridges gaps between developers, researchers, and domain experts, enabling aligned progress across the AI lifecycle—from development to production.
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