Skygenic was built from a problem observed directly at Harvard Medical School — not a market gap identified from the outside. As researchers rotated through labs, a pattern repeated: the datasets they generated stayed behind, but the reasoning that produced them did not. The next researcher rebuilt from incomplete context. Projects restarted from positions they should never have had to reach again. The science was sound. The institutional memory was not. That gap — between the data a lab produces and the reasoning behind it — had never been solved. ELNs record what was done. Analysis tools process what was found. Publications capture what the field concluded. None of them preserve why a researcher believed what they believed at each decision point, and none of them keep evaluating that belief as evidence changes. Skygenic was built to solve that specific problem. The Scientific Reasoning Layer structures hypotheses as machine-readable objects, evaluates them continuously against global evidence, and builds institutional intelligence that compounds across projects, teams, and time — instead of resetting every time a project ends or a researcher moves on. As we developed the platform, the application that kept surfacing from early conversations was mechanism validation at high-stakes decision points — the moment before a governance committee review, a Series B raise, or an NIH grant submission. That is when the quality of the reasoning behind a hypothesis determines whether a program advances or stalls. Independent mechanism defense audits became the first commercial expression of what the platform does — delivering that evaluation as a structured, actionable report without requiring platform onboarding. The platform is the foundation. The audits are the entry point. skygenic.com

Skygenic

Independent mechanism defense audits for biotech and pharma

Independent mechanism defense audits for biotech and pharma