Lyssn

by Lyssn  · Based in United States → — Training & Quality Improvement AI Solutions for HHS
behavioral-health crisis-care mental-health

Contact for pricing
Regulatory Status Disclosed

Overview

Lyssn is an AI-powered platform designed to enhance the quality of care and training within health and human services, particularly in behavioral health and crisis intervention. Founded by Ph.D-level clinical researchers and data scientists, Lyssn leverages AI and natural language processing to analyze therapy sessions, providing objective feedback on communication and adherence to evidence-based practices.

For physicians and mental health providers, Lyssn offers a robust suite of tools aimed at improving clinical outcomes and operational efficiency. The platform automates session transcription and generates comprehensive evaluations, helping clinicians understand their performance and identify areas for growth. It also streamlines the creation of progress notes, freeing up valuable time for direct patient care.

Beyond individual clinician support, Lyssn provides specialized training modules that use AI to evaluate skill development in real-time, offering personalized feedback to accelerate learning. This focus on fidelity to evidence-based practices ensures consistent, high-quality care delivery across an organization. Lyssn is built with strong security measures, including HIPAA compliance, BAA agreements, and SOC 2 Type II certification, ensuring patient data privacy and trust.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered session analysis
  • Communication feedback for providers
  • Automated progress note generation
  • Session transcription
  • Comprehensive performance evaluations
  • Fidelity reporting to evidence-based practices
  • AI-evaluated training modules
  • Personalized skill development feedback

Use Cases

  • Quality improvement in behavioral health
  • Clinician training and skill development
  • Ensuring fidelity to evidence-based practices
  • Automated session documentation
  • Workforce performance evaluation
  • Support for crisis care responders

What Physicians Need to Know

Ambient Listening Capability
Lyssn records and uploads client interactions, including real conversations, crisis calls, or role-plays, to monitor and evaluate the use of evidence-based practices.
EHR Auto-Population
Lyssn's documentation solution generates smart clinical summaries using an organization's note templates and securely saves them to the cloud. While direct auto-population into an EHR isn't explicitly detailed as an out-of-the-box feature, Lyssn collaborates with IT professionals for integrations via APIs or Single Sign-On (SSO) for a tailored experience.
Note Template Customization
Organizations can customize clinical notes using their own standard templates to streamline existing workflows. Lyssn's system is designed to accommodate various note types and allows for the use of practice-specific custom templates.
Specialty-Specific Models
Lyssn is purpose-built for behavioral health and human services, with AI models specifically trained to assess and provide feedback on evidence-based practices such as Motivational Interviewing (MI), Cognitive Behavioral Therapy (CBT), Suicide Prevention, Dialectical Behavior Therapy (DBT), Acceptance & Commitment Therapy, Trauma Informed Care, Multicultural Orientation, and Safety Planning.
Dictation Accuracy Rate
Lyssn provides automated, high-fidelity speech-to-text transcription with optional case notes, created in real-time with human-level accuracy. Its Motivational Interviewing (MI) metric has a 92% accuracy rate, comparable to human raters. The platform's notes feature has a low error rate, significantly increasing documentation productivity.
Real-Time vs Post-Visit Processing
Lyssn offers real-time speech-to-text transcription and AI-powered session feedback based on evidence-based practices. Draft clinical notes are delivered after each session, indicating post-visit processing for comprehensive documentation.
Multi-Speaker Recognition
Lyssn's algorithms automatically identify separate speakers and their roles (e.g., client vs. therapist) within a session.
Note Turnaround Time
Lyssn delivers draft clinical notes after every session, significantly increasing documentation productivity and reducing the time clinicians spend on paperwork.
Chart Review Features
The platform includes a session review interface with time-linked comments directly in audio or video playback, data summaries, and visualizations for feedback. It also offers searchable transcripts and interactive dashboards to review clinician or client performance based on selected metrics.
Physician Tip

Leverage Lyssn's specialized AI for behavioral health to enhance fidelity to evidence-based practices and streamline documentation. Utilize the real-time feedback for continuous skill development and the post-session note drafts to reduce administrative burden. Customize note templates to align with your specific clinical workflows and review session analytics to identify areas for quality improvement and training. The multi-speaker recognition is particularly useful for analyzing therapeutic interactions.

Lyssn is designed to be ready for use 'off the shelf' but supports integrations through collaboration with IT professionals for Single Sign-On (SSO) or APIs, enabling a more tailored experience. It also mentions CCWIS integration for Health & Human Services and adheres to HIPAA and SOC 2 compliance for secure data handling.

Details

Category Documentation & Scribing, Medical Education & Training, Mental & Behavioral Health AI
Pricing Contact for pricing — Contact for pricing details
DeploymentCloud-based
Mobile AppNone
LanguagesEnglish
TrainingUnknown
Target SizeOrganizations, Health Systems, Agencies (including child welfare, justice-involved, crisis care)
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Not applicable AI-estimated — N/A
SOC 2Unknown AI-estimated
GDPRUnknown AI-estimated
Integrations
EHR Not specified
Specialties Behavioral Health, Crisis Care, Mental Health

Social Proof

CustomersHundreds (over 100)

Support & Reliability

Training ProvidedUnknown

What the Web Says

Lyssn (lyssn.io) is an AI-powered platform designed to analyze recorded therapy sessions, providing quantitative feedback on treatment fidelity and therapist competence. It aims to address the scalability challenges in clinical supervision and ensure adherence to evidence-based psychotherapy protocols like Cognitive Behavioral Therapy (CBT) and Motivational Interviewing (MI). The platform is primarily targeted at academic training centers, large community mental health organizations, and integrated delivery networks, rather than individual private practices.

Overall: Mixed

Strengths

  • Automates the labor-intensive work of reviewing session recordings, reducing review time and increasing coverage.
  • Provides objective and quantifiable fidelity scores, flags missed opportunities, and highlights specific dialogue for supervisor review.
  • Backed by over 60 peer-reviewed publications, making it a clinically validated AI session analysis platform.
  • Strong validation in Motivational Interviewing (MI) and CBT competence rating, with AI models matching human-rater reliability for MI fidelity.
  • Offers a HIPAA-compliant, cloud-based platform for secure recording, sharing, and reviewing of therapy sessions.
  • Can help guide therapists and coaches to use more effective techniques and provides scientifically-proven efficacy feedback on every session.

Limitations

  • Evidence base for effectiveness in routine clinical deployment is considered thin, with a lack of published outcomes data.
  • Absence of clinician sentiment data on platforms like Reddit, indicating a gap in ground-truth adoption signals.
  • Enterprise-only with no published per-seat pricing, making it less accessible for solo practitioners and small group practices.
  • Does not generate clinical notes; it is a session analysis and fidelity measurement platform, requiring separate tools for documentation.
  • Implementation involves labor-intensive cultural work and lengthy IT security reviews due to processing identifiable patient health information.
  • Concerns among therapists on Reddit regarding privacy, HIPAA violations, and the potential for AI to replace human connection in therapy.

Based on reviews from: Lyssn review (2026): pricing, features, alternatives, Working at Lyssn.io, Inc.: Employee Reviews | Indeed.com, Lyssn Review 2026: AI Session Analysis Backed by 60+ Peer-Reviewed Studies, Lyssna Pros and Cons | User Likes & Dislikes - G2, Lyssna Reviews 2026: Details, Pricing, & Features | G2, Centerstone taps tech company Lyssn to build out AI-based training for behavioral health clinicians - Fierce Healthcare, Digital Health AI Tools Grade Therapist's Quality - AI CERTs News, As mental health needs surge, this Seattle startup offers AI-powered analysis of therapy sessions - GeekWire, Lyssna Reviews 2026. Verified Reviews, Pros & Cons - Capterra, 2020: Year in review - Lyssn, Academic Papers u2014 AI in Behavioral Healthcare | Lyssn, The uncomfortable truth about who is actually shaping the future of mental health? - Reddit, Tech mental health companies requiring recorded sessions. Where are our advocates (NASW, ACA, APA) : r/therapists - Reddit, Any one concerned about AI? : r/therapists - Reddit, I don't know how to feel about this...thoughts? : r/therapists - Reddit, LYSSN.io gives therapists feedback to improve their practice - Utah Business Magazine, Enhancing the quality of CBT in community mental health through AI-generated fidelity feedback - NIH RePORTER

Last updated: 2026-08-11

Ratings & Reviews

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Press & Coverage

intelligence360
Lyssn.io has filed a notice of an exempt offering of securities to raise $2 Million in New Debt Financing.
Lyssn.io has filed a notice with the U.S. Securities and Exchange Commission to raise up to $2 million in new debt financing. This filing is required for companies selling securities without full registration under federal securities law.
2025-04
Lyssn.io
Lyssn's 2025 Impact in Behavioral Health and Human Services
This article highlights Lyssn's achievements in 2025, including insights from webinars, academic research, and press coverage, emphasizing the critical need for rigorous evaluation of AI in mental healthcare.
2025-12
Lyssn.io
AI in Psychosis Care: Bridging the Treatment Gap
Lyssn hosted a panel at NatCon focusing on using AI to address the shortage of effective psychosis treatment, emphasizing AI as a tool to enhance human providers rather than replace them.
2026-05
PubMed (Annu Rev Clin Psychol)
Artificial Intelligence to Support Human-Provided Mental Health Treatment
This review article examines the role of AI-based tools in mental healthcare, highlighting their potential to monitor treatment quality, enhance training, and support clinical documentation, while also addressing limitations like algorithmic biases and privacy concerns.
2026-05
Lyssn.io
NIMH Awards Lyssn Grant to Enhance Quality Assurance for 988 & Crisis Care
Lyssn.io received a $2.1 million grant from the National Institutes of Mental Health (NIMH) in collaboration with Protocall Services to enhance and validate an AI-enabled quality assurance solution for crisis care, focusing on empathic suicide risk assessment and safety planning.
2023-05
Lyssn.io
New Feature: AI-Generated Clinical Notes Now Available
Lyssn.io launched a new AI-generated clinical notes capability to reduce the burden of note-taking for clinicians, coaches, and social service workers. This feature drafts notes from session recordings with clinical nuance.
2022-09
Business Wire
Lyssn AI to Help Assess the Quality of Prevention Services Offered Under Family First Act
Lyssn.io announced a five-year contract with the Utah Department of Human Services to use its AI platform to assess the quality of prevention services under the Family First Prevention Services Act.
2022-05
Lyssn.io
U.K. mental health provider first to bring Lyssn to NHS
Trent PTS, a UK mental health provider, has contracted with Lyssn to use its AI platform to record, transcribe, and evaluate therapeutic sessions, becoming the first NHS customer for Lyssn.
2021-10

Videos

Product demos, reviews, and walkthroughs for Lyssn.

View all on YouTube

Frequently Asked Questions

Lyssn's AI platform analyzes recorded patient-provider conversations to generate draft clinical notes and automated, searchable transcripts. It is designed to help health and human service providers focus on patient care by automating the time-consuming task of documentation. The system also offers tools for quality improvement and training, assessing fidelity to evidence-based practices.
Yes, Lyssn is HIPAA, FERPA, and GDPR compliant, ensuring patient privacy through encrypted data transfers and storage, two-factor authentication, and regular external audits. Lyssn also emphasizes the importance of informed consent, requiring users to obtain appropriate patient consent for session recording and usage.
While beneficial, AI scribes like Lyssn may face limitations such as challenges with highly complex patient cases or difficulty accurately identifying multiple speakers in a conversation. Physicians still need to review, edit, and finalize the AI-generated notes to ensure accuracy and integrate them into their existing EHR workflows.
Several other AI medical scribing solutions are available, each with varying features and integration capabilities. Notable alternatives include Nuance DAX Copilot, Abridge, Glass Health, Nabla, DeepScribe, and Suki AI, among others.
Specific per-physician or per-practice pricing for Lyssn is not publicly detailed, as the platform appears to primarily target health and human services and behavioral healthcare organizations. Lyssn offers solutions at an organizational scale, and pricing is likely structured through custom enterprise contracts rather than individual subscriptions.
Yes, physicians are responsible for obtaining appropriate patient consent before recording any sessions with Lyssn, adhering to both state and federal laws regarding private conversations. Transparency with patients about the use of AI scribes is crucial for maintaining trust and ensuring compliance.

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Suggest an Edit → | Last Verified: 2026-05-07 | First Added: 2026-05-07
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