Lyssn

The measurement is the product and it cannot exist without the model. Automatically estimating CBT fidelity from a session recording, identifying whether a clinician used specific evidence-based techniques competently, is not achievable by workflow software; the only alternative is a trained human rater listening to the session, which is precisely the bottleneck the company exists to remove. Founded by clinical researchers and data scientists rather than by operators adding AI to an existing service.

The design keeps the human decision explicitly in place while automating the measurement, and the company states it keeps the crucial human element front and centre. Fidelity scores feed supervision rather than replacing supervisors: the platform supports time-linked comments inside session playback and asynchronous review between therapist and supervisor, so the AI produces the evidence and the supervisor produces the judgement. That is a well-drawn boundary and it maps to the Ibex second-read principle, where the tool is positioned so it structurally cannot substitute for the professional.

The strongest transparency position in the behavioral health category and among the best in the index. The platform architecture is described component by component in peer reviewed literature, and the underlying methods are published in academic venues, including work on automated quality assessment of CBT sessions through highly contextualized language representations. Most notably, the founders' equity stakes in the company are DISCLOSED AS COMPETING INTERESTS within the papers themselves. A vendor whose science is published in venues that force conflict-of-interest disclosure is operating at a materially higher transparency standard than one publishing its own white papers, and the index should say so.

Genuinely independent and academically rigorous, but still substantially forward-looking rather than concluded, which is why this is B rather than A. Project AFFECT is NIMH-funded, conducted with the Penn Collaborative for CBT and Implementation Science, and registered as NCT05340738 comparing AI-generated fidelity feedback against usual care. University of Washington work with King County demonstrated AI can accurately identify use of key CBT for psychosis skills. A published body of academic papers covers fidelity measurement, supervision attitudes, opioid treatment programme counselling quality, and ClientBot. The honest caveat: much of the flagship work is protocol and feasibility stage, the psychosis skill detection study establishes that the AI can measure the skill rather than that measuring it improves patient outcomes, and the causal chain from better-measured fidelity to better patient outcomes remains the open question. Compare Eleos Health, which has a completed randomised trial with patient outcomes but a small single-site sample.

Described in the academic literature as a HIPAA-compliant cloud platform for secure recording, sharing and reviewing of therapy sessions, with the security posture documented in peer reviewed publication rather than only in marketing. Graded B rather than A because no published retention schedule or statement on whether customer session recordings contribute to model training was located, and this platform holds the most sensitive data type in the index, full recordings of psychotherapy sessions including sessions with people experiencing psychosis and substance use disorders.

HIPAA compliance is documented in peer reviewed literature describing the platform, which is stronger corroboration than a marketing claim. Graded B rather than A because specific BAA terms were not located.

No third party attestation such as SOC 2 Type II or HITRUST located at the time of review. Given the platform stores complete therapy session recordings for public sector and community mental health customers, buyers should require the report.

Not an FDA regulated product. The system measures clinician performance and supports training and supervision; it does not diagnose patients or direct treatment, so it sits outside Software as a Medical Device. Same treatment as Eleos Health, Blueprint and Mendel. The relevant oversight surface is professional training standards and, for public sector deployments, procurement and quality assurance requirements.

Ahead of the behavioral health field, though not complete. The published research programme includes work on automating the assessment of MULTICULTURAL ORIENTATION through machine learning and natural language processing, meaning cultural responsiveness is treated as a measurable dimension of therapy quality rather than ignored. A separate published study examined clinician knowledge and attitudes toward AI-based fidelity measurement in supervision, which takes the acceptability and fairness question seriously from the practitioner side. Graded B rather than A because no subgroup performance breakdown was located, and the stakes are high in a specific way worth naming: a fidelity score that systematically underrates clinicians with particular accents, dialects or therapeutic styles becomes an unfair performance evaluation attached to someone's professional standing.

Browser-based platform where sessions are recorded directly or uploaded, operating largely as a standalone system for supervision and quality assurance rather than embedding in the clinical record. No named EHR integrations were located. This is a coherent design choice given the buyer is a training or quality function rather than a documentation workflow, but it contrasts sharply with Eleos and Blueprint, both graded A for EHR-agnostic embedding, and it means the fidelity data lives apart from the clinical record.

Cloud platform accessed via web browser, supporting in-person and telehealth session recording as well as upload of sessions captured elsewhere, with user management organised around clinicians, supervisors and sessions. Flexible for the training and supervision use case. No data residency or hosting disclosure located.

No pricing published and no pricing basis disclosed. The buyer is an organisation, a training programme, health system or public agency, so pricing is presumably contracted, but nothing about the structure is public. Note the company's commercial position is also entangled with its research funding, since NIMH grants supported development of software the company intends to commercialise, a relationship the academic papers disclose openly but which buyers evaluating independence should understand.

Spans community mental health, opioid treatment programmes, psychosis and serious mental illness services, crisis and counselling services, and clinical training programmes, with modality-specific fidelity models for evidence-based practices including CBT and CBT for psychosis, plus motivational interviewing style counselling contexts. Public sector reach is real, evidenced by the King County healthcare system partnership. Graded B rather than A because the product measures fidelity to specific named evidence-based practices, so coverage is bounded by which fidelity models have been built and validated, in the same way Unlearn's coverage is bounded by which Digital Twin Generators exist.