Deepchecks

Deepchecks is an enterprise-grade AI testing, observability, and monitoring platform designed for production AI systems. It unifies evaluation, observability, testing, and monitoring to give teams visibility and control over LLM-based applications. The platform supports comparing versions of prompts, models, agents, and AI systems; setting up auto-scoring pipelines; generating datasets and creating LLM judges; testing LLM apps within CI/CD; and monitoring them in production. It is built to address the quality challenges of generative AI, such as hallucinations and inconsistent outputs, and claims to reduce hallucinations and low-quality responses by 70%. Deepchecks offers enterprise-grade security and compliance features, including secure access controls, data isolation, and auditability. It integrates with major platforms like AWS, Amazon Bedrock, OpenAI, NVIDIA, LangChain, Datadog, and CrewAI. Use cases include RAG, agentic workflows, generation, summarization, and ML model testing and monitoring.

Key Benefits

• 5x improvement in time to production for new LLM apps
• 70% decrease in hallucinations and low-quality responses
• 15x more versions compared before choosing a winner
• Enterprise-grade security and compliance built in