Deepchecks (AI)

Deepchecks provides a comprehensive platform for evaluating and monitoring large language model (LLM) applications and AI agents. Their solution is designed to help teams release robust LLM-based apps faster, without sacrificing the quality or reliability of their AI systems. By addressing the inherent complexity of LLM interactions, Deepchecks enables users to define, measure, and validate AI progress with confidence.

A core feature of Deepchecks is its Agent Evaluation system, which breaks down complex agent executions into individual sub-tasks and scores each one. This granular approach allows for a transparent and detailed understanding of how AI agents make decisions, use tools, and adapt to errors or unexpected situations. The platform leverages LLM-based 'judges' to assess criteria such as tool selection, instruction following, and output faithfulness, providing both step-level and session-level scoring.

Deepchecks also offers ML Monitoring capabilities, ensuring that machine learning models perform optimally in production environments. Their monitoring tools integrate with existing workflows and support various deployment options, including on-premises, SaaS, and single-tenant SaaS, to accommodate different data privacy and scalability needs. Real-time validation, alerting, and secure access controls are built in to help teams quickly identify and resolve issues as they arise.

With integrations like AWS Sagemaker and support for CI/CD pipelines, Deepchecks aims to streamline the development and deployment of AI applications. Their platform is trusted by leading AI teams who value transparency, observability, and continuous improvement in their LLM and ML systems.