Vasl runs a full care platform — peer community, coaching, and licensed therapy — for schools, universities, and community organizations. Health systems and FQHCs deploy the same intelligence a different way: VLAP as a clinical decision support layer inside your own care delivery.
VLAP runs on the transcripts your teams already generate — including ambient scribe output — and surfaces culturally interpreted risk context to your clinicians before and between sessions. No new workflow. No new documentation burden. Your clinicians, better informed.
VLAP is clinical decision support, not a diagnostic device. Signals route only to licensed clinicians, with mandatory human review before any escalation. Every step is documented for audit.
CulturalBERT, our clinical language model, is trained on youth-generated language — AAVE, coded phrasing, limited-English-proficiency patterns — with an SDOH-aware calibration layer (patent pending) that adjusts for the contexts standard NLP gets wrong.
Currently in structured pilot pathways with academic medical centers and health-system innovation programs. Independent validation via an IRB-approved university study is underway.
Tell us about your care delivery model and data infrastructure, and we’ll show you exactly how VLAP fits — as decision support, not another system to manage.