The safety data layer, read the way you read companies.
Diligence starts where buyers start. How the engine works, how accuracy is measured, and how the architecture holds up under a security review are public pages, written to be read carefully.
Read the pages buyers read.
The product argument, the measurement methodology, and the security architecture are published for the people who procure them. They carry the same weight in diligence.
What exists today.
Burna AI builds the safety and data quality platform for clinical research, from early phase trials through postmarket surveillance. What exists today: the grading engine, attribution scored with WHO-UMC and Kramer algorithms, real-time infrastructure, and patient-reported capture via Healthnotes.
Nnenna John, Founder and CEO. Six years at Airbnb building infrastructure for 150M+ users before turning to the workflow her field ignores: the moment an adverse event gets graded and attributed.
AI suggests, clinicians decide. Every grade is reviewed, editable, and signed under 21 CFR Part 11.