Flagship · Conversational care Active development

Compassion scaled with safety, not shortcuts.

AI Counselor is a conversational care companion designed around clinical guardrails. Evidence-based frameworks, transparent escalation, and a hard line at the limits of what an AI should do alone.

Clinical guardrailsCrisis routingMulti-modal intakeHIPAA-aware
AI Counselor dashboard
Design principles

The hard parts come first.

We started with safety, not features. Everything else is built around clear boundaries, transparent handoffs, and clinician-in-the-loop oversight.

Crisis detection first

Real-time monitoring for risk signals. When detected, the conversation hands off to a human path, not a longer AI reply.

Evidence-based frameworks

CBT, DBT, and motivational-interviewing techniques implemented as auditable conversation policies, not vibes.

Transparent escalation

The user always knows when they're talking to an AI, when a human will step in, and why.

Clinician in the loop

Licensed clinicians own oversight. AI Counselor augments their caseload; it does not replace their judgment.

Privacy by default

HIPAA-aware data handling, end-to-end encryption, and minimal retention.

Multi-modal intake

Text, voice, and structured assessments — the user picks the surface that feels safest.

Handoff

When the AI stops and the human starts.

AI Counselor is built to extend a clinician's reach, not bypass it. The product is the handoff as much as the conversation.

  • Scoped autonomyAI Counselor handles psychoeducation, journaling, and skill practice. It does not diagnose.
  • Explicit triggersRisk markers, scope limits, and time-in-session caps each route to a human path.
  • Context preservedClinicians see a structured session summary, not a raw transcript dump.
  • Closed loopOutcomes feed back into the safety eval suite to prevent regressions over time.
Handoff diagram

Clinicians and care orgs: let's pilot together.

We're working with licensed providers and digital health teams on the first deployments.