Daikon AI provides AI-native quality management technology for life sciences organizations, including pharmaceutical and medical device companies. Its platform integrates with quality management systems (QMS) to bring AI into existing quality workflows, helping teams use quality data and reduce manual work in investigations. Daikon says its tools can save up to 20 hours per quality event while supporting more consistent, rigorous processes.

The platform includes Sensei, an AI coach and reviewer for drafting problem statements and investigation reports; AI-powered search and knowledge management to find repeat events; and tools for predictive triage, initial assessment, root-cause analysis, recurrence checks, corrective and preventive action (CAPA) recommendations, effectiveness checks, and continuous trend monitoring. The company describes its technology as designed for regulated environments, with model evaluations, guardrails, human involvement, and readiness for requirements including Part 11 and Annex 11.

Daikon also offers a phased pilot: an initial diagnostic and business-case assessment, followed by discounted, time-limited enterprise access to validate the platform across workflows.