Deepchecks

Deepchecks is a specialized technology company focused on evaluating and testing LLM-based applications, helping organizations release high-quality AI products without compromising on rigorous testing standards. The company addresses one of the most challenging aspects of modern AI development: the complex and subjective nature of evaluating large language model outputs. Their platform enables teams to define, measure, and validate AI progress through automated scoring pipelines that work across development, CI/CD, and production environments. The technical foundation of Deepchecks relies on a sophisticated approach using small language models (SLMs) and multi-step NLP pipelines that operate as a swarm through Mixture of Experts (MoE) techniques. This architecture simulates intelligent human annotators, providing superior accuracy for metrics like groundedness and retrieval relevance. The platform supports multiple deployment options including SaaS, single-tenant, and on-premises installations, with compliance certifications including SOC2 Type 2, GDPR, and HIPAA to accommodate various data privacy requirements. Deepchecks serves leading AI teams across industries, with documented case studies including implementations at Moovit, Lovehoney Group, and global pharmaceutical companies. The company differentiates itself by offering an end-to-end platform rather than just evaluation techniques, enabling organizations to compare versions of prompts, models, agents, and AI systems while reducing hallucinations and improving response quality.