Deepchecks

Deepchecks is an open-source-led company, co-founded by CEO Philip Tannor, that provides continuous validation, testing, and monitoring for machine-learning systems and, increasingly, LLM and agentic AI applications. Its widely adopted open-source Python package delivers batteries-included test suites for tabular, computer-vision, and NLP data and models, checking for data integrity, distribution drift, leakage, and performance degradation from research through production. Building on that foundation, Deepchecks offers an enterprise LLM Evaluation platform for testing, observability, and monitoring of generative AI in production, featuring auto-scoring pipelines, LLM-as-judge and golden-dataset generation, prompt/model/version comparison, and production tracing. The company raised a $14M seed round led by Alpha Wave Ventures with Hetz Ventures and Grove Ventures. Deepchecks appeals primarily to data scientists and ML engineers who want programmable, code-first validation, while its enterprise tier adds governance, access control, and flexible deployment for regulated buyers. Distinctive strengths include its open-source community footprint, breadth across data modalities, and multiple deployment options ranging from managed SaaS to fully on-premises bare metal for privacy-sensitive environments.