Generic AI models weren’t built for healthcare data, and they weren’t held to a healthcare standard. Komodo is purpose-built on 14+ years of healthcare ontology work and architected around the Five Pillars of Trust, grounded, explainable, reproducible, verified, and governed, so every answer is one your team can actually stake a decision on.

The Healthcare Map is built with redundancy across multiple independent sources, so when a single source is disrupted, your analysis doesn’t collapse with it. Coverage holds at a meaningful floor while the rest of the map keeps feeding your answer.

Building this in-house means owning two ongoing burdens forever: continuously cleaning, linking, and maintaining your own data pipeline, and rearchitecting for trust every time a new AI model ships. Komodo already carries both, so your team spends its time on the launch, targeting, or access question in front of it, not on infrastructure that needs constant upkeep.

Yes. Every analysis is traceable to its source, and users can generate and independently run the SQL behind any output. Cohort definitions and methods are saved in a shared Library, so a result produced today can be reproduced months later by someone who did not run it the first time.

Minutes for most questions, against work that previously took weeks of analyst time: 90% faster time-to-insight. The gain compounds, because validated cohorts and definitions are saved and reusable, so the second question in a therapeutic area is faster to answer than the first.