Lower the cost of every study you run. Then open the next one.
Grading, attribution and reporting run inside the coordinator hours you already staff, so each study costs less to deliver and the team you have goes further. That holds whether you run two studies or two hundred.
one engine, whatever your shape
Academic center
40+ coordinators
Physician-owned practice
2 coordinators
Site network
24 sites, one SOP
same grade, same citation, same report
Three shapes of site. One answer.
An academic center runs forty coordinators across a hundred protocols. A physician-owned practice runs two. A site network runs one SOP across two dozen locations. They’re staffed differently and they answer to different budgets.
The adverse event workload is the same shape in all three. Somebody reads the note, finds the events, grades each one, attributes it to a drug, and defends that answer to a monitor months later.
Your trial count can grow while your roster stays the same.
Nebraska Hematology Oncology is physician owned, and it went from no trials in 2024 to nearly fifty active. Burna drafts the grade, the attribution and the report, so each new study lands as a page your coordinator reviews.
Illustrative rendering. Nebraska Hematology Oncology, physician owned, went from no trials in 2024 to nearly fifty active.
“If I'm going to go to our CEO, I would have to justify and say: look, I see this allowing us to open up this many more trials, or have this many more patients on study, because my sub-I is now only taking two minutes to review this AE rather than a half hour trying to sort through all of the AEs that occurred since the last visit.”
Write it into the study contract, the way you already do.
Sites negotiate an electronic systems or technology fee with each industry sponsor, to cover the CTMS and the other platforms they’re required to run. Burna fits the same line. Your sponsor gets cleaner data and earlier signals, and you keep the staffing headroom.
It has to fit the stack you already run.
You have one medical record, one CTMS, and a different electronic data capture system for every sponsor.
Burna reads from the medical record and writes back to it. The graded record then exports in a form your coordinator carries into whichever capture system that study uses.
Where a direct connection exists, nobody re-keys anything. Where one doesn’t, the platform still works: the export is the fallback, and it’s the same record either way.
The detail your technology team will ask forA new coordinator can practise before they touch a real case.
Coordinator turnover has run 35 to 61% annually since 2020, and a replacement takes 6 to 12 months to reach full speed. A new coordinator learns grading from whoever has time to teach it, and the standard drifts with each handover.
Burna’s calibration mode lets them grade a synthetic case and compare against the engine’s reasoning, criterion by criterion, before they touch a real one.
Sources: AACI 2022 CTO Staff Retention Task Force.
Our methodology is public and our results go to peer review.
We publish methodology and pursue peer-reviewed abstracts with partner centers. Burna AI is a participant in Mayo Clinic Platform_Accelerate, where a 1,600-case concordance study is running across three campuses against an adjudicated clinician reference panel. Results read out in December 2026.