Built by a physician.
For physician-scientists.

I am a physician with clinical training in neurology and psychiatry. During my research work I kept encountering the same problem — research coordinators spending days manually abstracting PHQ-9 scores from clinical notes, postdocs wasting weeks wrangling data before any real analysis could begin, and principal investigators unable to see patterns in their own cohort data without hiring a biostatistician.

I published research on Lewy Body Dementias in Annals of Medicine & Surgery (Elsevier, 2025). I hold Johns Hopkins Clinical Trials Operations certification. I understand clinical research from the inside — not as an engineer guessing at physician problems, but as a physician who lived them.

NeuraLog AI is what I wish had existed. An AI platform that understands the difference between HAM-D-17 and HAM-D-21. That knows “denies SI” is not a positive finding. That generates a publication-ready methods section in 10 seconds because it was built by someone who has written them by hand.