Minerva Knowledge Management
Biotechnology ResearchCalifornia, United States11-50 Employees
Life sciences doesn't have an AI problem. It has a knowledge problem. The models are extraordinary. They're also blind to the institutional knowledge they need to act on — SOPs trapped in disconnected QMS, deviation patterns spread across twenty databases, SME experience walking out the door at retirement, validation files that exist but can't be queried. Minerva builds the AI-ready knowledge layer for regulated life sciences — the layer that turns scattered data, documents, and SME experience into a queryable, compliant decision system for humans, AI agents, and robots. Three productized engagements: → VISDI Diagnostic™ — Find the gap. → VISDI Integrate™ — Build the knowledge layer. → VISDI Operate™ — Keep it alive and compounding. All three run on The Minerva Way: a five-stage framework from scattered data to executable knowledge — Visualize, Structure, Digitalize, Knowledge-Enable, Execute. The discipline that sets it apart is Virtual Verification: the trust gate where AI output earns the status of knowledge only after human-grade visual sign-off. Compliance is not a brake on speed — it is the standard the knowledge was built to meet. Built for the industries where knowledge gaps become patient risk: → Cell & Gene Therapy — comparability and tech transfer at clinical speed → Biotech & Vaccines — process knowledge from bench to batch → Medical Devices — the DHF as a living, queryable system → Life Science Robots — humans, SMEs, and agents acting on the same source of truth Currently building Minerva's Brain — our own AI-ready knowledge layer — in public. A productized methodology firm that hasn't productized itself shouldn't sell the product. Architecture decisions, throughput numbers, failures, all of it. Weekly. If your AI pilots aren't scaling, that's not a model problem. Let's talk. Faster, Smarter, Safer Knowledge Execution for AI-First Life Sciences.
1-888-653-2347 
support@leadiq.com 
