Measuring whether therapy follows the evidence
PITCHED AT THE SAN FRANCISCO NIGHT ON 16 SEPTEMBER 2026
Payers spend billions on psychotherapy with no way to tell effective sessions from ineffective ones, because the only reliable measure is an expert reviewing a session by hand. Therassist.ai automates that review, scoring sessions against the gold-standard adherence instrument for DBT and giving therapists feedback on every one.
Psychotherapy is one of the few areas of healthcare where nobody can see what was delivered. Evidence-based treatments such as DBT have validated ways to check that a therapist is following the method, but the check means an expert sitting through a full session, so it is rationed to certification and research. Payers cannot tell good care from poor care, and clinicians get almost no feedback on whether they are improving.
Therassist.ai makes that expert review available on any session. It transcribes the session, writes the clinical note and scores adherence with an AI implementation of the DBT AC-I, built with Melanie Harned, PhD, the instrument's creator, who leads the science. The founder, David Lischner, MD, is a psychiatrist who co-founded Valant, the behavioral health EHR. A CBT scorecard is in development, and clinicians at practices such as the DBT Center of Seattle speak for it on the company's own site.
These founders pitched at the same startup events. The room is usually the reason people find each other.