Deepchecks

Deepchecks is an enterprise-grade LLM evaluation, observability, and monitoring platform designed for AI teams building and operating production AI systems, including LLM applications and AI agents. The platform provides tools for evaluating, testing, and monitoring large language models and AI agents throughout their lifecycle. Core capabilities include: - Auto-scoring pipelines for LLM outputs - Version comparison for prompts, models, and AI systems - Dataset generation and management - LLM-as-a-judge configuration - Tracing and observability for AI agents - Production monitoring and alerting - CI/CD integration for LLM testing Deepchecks addresses quality assurance challenges specific to generative AI, such as hallucinations, inconsistent outputs, and prompt regression, by unifying evaluation, testing, and monitoring into a single platform. It is SOC2 Type 2 certified and supports GDPR and HIPAA compliance requirements. The platform supports multiple deployment models: a fully managed SaaS offering, Virtual Private Cloud deployment on GCP or Azure, on-premises bare metal, and AWS-managed deployment via Amazon SageMaker Partner AI Apps. It integrates with major AI infrastructure providers including OpenAI, Amazon Bedrock, NVIDIA, LangChain, CrewAI, and Datadog. The company is joining forces with Check Point Software Technologies. Its target market includes enterprise AI and ML engineering teams in regulated and security-conscious industries who require governance, auditability, and data isolation in their AI quality assurance workflows.