Building Evidentia – platform for scientific knowledge that never gets published

Science's most valuable output never gets published. Negative results, failed replications, protocol details etc. all vanish into the file drawer. This means that the public body of knowledge is slow and also often wrong.

The cost: 70% of researchers can't reproduce published findings. Only 6 of 53 landmark cancer studies replicated. Industry wastes $28B annually re-validating work that doesn't hold up.

We're building a platform to capture what gets lost. Scientists share the details papers omit: failed antibodies, critical protocol tweaks, replication attempts. AI + a graph DB structures it into queryable data. Contributors get DOIs so it counts as real academic credit.

Been testing with beta users for 2 weeks. Opening up waitlist now: https://evidentia.bio/

Key challenge: will scientists share without traditional publication incentives? Early signal says yes (especially younger researchers), but needs to scale.

Feedback welcome, especially on keeping it alive (avoiding the "data graveyard" problem) and monetization.