# Vals AI

> AI evaluation platform for testing LLM applications with industry-specific benchmarks, automated test suites, and performance analytics for enterprise teams.

Vals AI is a comprehensive evaluation platform designed specifically for testing and benchmarking large language model (LLM) applications including copilots, RAG systems, and AI agents. The platform addresses critical gaps in AI evaluation by providing industry-specific benchmarks that reflect real-world use cases rather than academic datasets.

At its core, Vals AI uses Test Suites composed of multiple Tests, each with specific inputs and Checks that evaluate whether model responses meet defined expectations. This structured approach enables systematic evaluation of AI applications across domains like Legal, Finance, Healthcare, Mathematics, and Coding.

The platform offers both private benchmarking capabilities to prevent data leakage and public benchmark resources. Their public benchmarks (available at vals.ai/benchmarks) provide valuable free resources for model comparison across categories like Legal (CaseLaw, ContractLaw, LegalBench), Finance (CorpFin, Finance Agent, TaxEval), Healthcare (MedQA), Math (AIME, MGSM), Academic (GPQA, MMLU Pro), and Coding [LiveCodeBench](https://www.vals.ai/benchmarks/lcb), [SWE-bench](https://www.vals.ai/benchmarks/swebench).

Vals AI integrates seamlessly into development workflows through SDK and CLI tools, enabling automated testing, CI/CD pipeline integration, and regression testing. The platform also supports expert-in-the-loop evaluation with review workflows and annotation capabilities, combining automated metrics with human expertise for comprehensive AI application assessment.

For enterprise teams building AI applications, Vals AI provides the infrastructure needed to ensure model performance, accuracy, and reliability before deployment, with detailed analytics on cost, latency, and quality metrics.

## Features
- Test suite creation and management for LLM applications
- Industry-specific benchmarks across Legal, Finance, Healthcare, Math, and Coding
- Private and secure evaluation to prevent dataset leakage
- SDK and CLI tools for automated testing workflows
- CI/CD pipeline integrations for regression testing
- Expert review and annotation workflows
- Real-time performance, cost, and latency analytics
- RAG system evaluation capabilities
- Model comparison and ranking tools
- Custom benchmark creation for specific domains
- Public benchmark resources for model comparison
- Automated test case generation and validation

## Integrations
CI/CD pipelines, OpenAI API, Anthropic Claude, Various LLM APIs and models, Development workflows, Custom evaluation frameworks

## Platforms
WEB, API, DEVELOPER_SDK

## Pricing
Open Source, Free tier available

## Links
- Website: https://www.vals.ai
- Documentation: https://docs.vals.ai
- Repository: https://github.com/vals-ai/vals-sdk
- EveryDev.ai: https://www.everydev.ai/tools/vals-ai