Practice with diverse realistic AI clients, review structured feedback across multiple modalities, and choose what to work on next — for students building skills and early-career therapists refining them.
Practice with realistic profiles built around varied concerns, interaction patterns, and levels of complexity. Each profile supports a defined training objective rather than claiming to reproduce a real client.
Talk to realistic AI clients through real-time voice conversations. The voice experience can include pauses, emotional variation, and responsive dialogue, while remaining a simulation rather than a replica of a real client.
After a simulated practice session, structured AI feedback reviews the transcript across multiple reflection dimensions — from empathy and active listening to intervention technique and case conceptualization. Treat the output as a reflection aid that still requires human interpretation.
Review a simulated session through generated perspectives based on different therapeutic modalities. For students and early-career therapists, these prompts can support reflection between qualified human supervision or consultation sessions. They are not clinical or licensure supervision.
"Let's identify the core beliefs driving this pattern..."
"Emotion is the doorway — let's stay with what emerged..."
"Let's dispute the irrational beliefs you could have challenged..."
Review past practice, generated feedback, and selected session evidence without treating the dashboard as a validated measure of competence.
Compare generated ratings for empathy, active listening, interventions, and other dimensions across attempts. Faculty or supervisors decide what those patterns mean.
Review past sessions with available transcripts, structured feedback, and modality-specific reflection.
Use patterns across attempts to choose questions and moments for learner reflection or human-led debrief.
Monitor your practice minutes, session frequency, and subscription usage. Stay on top of your training commitment.
Revisit selected profiles across multiple sessions when continuity supports the training objective. Simulation state is not a clinical outcome measure.
Use available session summaries as discussion material for your own reflection or a qualified human review process.
Program directors get a dedicated dashboard to manage access and review cohort practice activity. Product signals remain formative and require faculty interpretation. Learn more about institutional plans.
Send email invitations to students with custom trial lengths. Students activate their accounts through a simple link — no manual setup needed.
Track how many seats are used vs. available. Monitor which students are active, when they last practiced, and their overall engagement.
Review assigned access and available practice-activity signals across a student cohort without turning product usage into a competence verdict.
SofiaHelp is for simulated training sessions, not client records. Institutional visibility and retention requirements are confirmed before rollout.
Custom institutional pricing depends on cohort size, usage, duration, and implementation scope.
Faculty choose how structured session feedback fits their curriculum, existing rubrics, and human-led assessment process.
Practice counseling conversations with realistic AI clients and reflect on structured feedback.