For Therapy & Coaching Apps

Therapy & Coaching Apps_

Your therapy bot responded to someone in crisis. Can you show what context it was working with?

Clinical AI needs more than logs. DeepaData creates sealed artifacts for every session — defensible records that show what your AI interpreted, what escalation rules fired, and what consent was in place.

Therapy Platforms

Building AI-assisted therapy apps, telehealth platforms, or clinical tools that process patient emotional context during sessions.

Coaching & Wellbeing Apps

Creating coaching tools, mental wellness apps, or support platforms where users share emotional content expecting care and confidentiality.

Start Here_

For therapy and coaching platforms, start with Safety. Every AI response gets a cryptographic safety attestation — detecting manipulation, vulnerability exploitation, and boundary violations in real-time. One endpoint. Two-minute integration.

Your first API call

curl -X POST https://www.deepadata.com/api/v1/esaa/evaluate \
  -H "Authorization: Bearer dda_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "interaction": {
      "user_input": "I have been feeling really down lately...",
      "model_response": "I hear that you are going through a difficult time..."
    },
    "platform_id": "my-therapy-app"
  }'
Safety Quick Start2 minutes to first evaluation

Then add Observe to detect emotional shifts across sessions. Add Govern for full artifact governance and compliance reporting.

How It Works

Five steps to defensible clinical records_

Interpret. Seal. Govern. Share. Verify.

1

Interpret

EDM.jsonExtract what was significant

2

Seal

.ddnaSigned by DeepaData

3

Govern

MetadataCompliance in-band

4

Share

VitaPassMoves with the subject

5

Verify

APIConfirm authenticity

What breaks without governed clinical records_

Clinical AI processes emotionally consequential interactions. When questions come, logs aren't evidence.

Your bot responded to someone in crisis

Can you show what context it was working with? What did it interpret? What escalation rules fired — or didn't?

Auditor asks what your AI understood

You have logs. They want evidence. No artifact shows what emotional context was processed or how decisions were made.

High-intensity session went unescalated

The user was in distress. Your AI didn't flag it. Without Observe coverage, you don't know which sessions fell through.

Litigation arrives, 72 hours to respond

A patient disputes what happened in a session. Your records are chat logs. Where's the defensible artifact?

The risk landscape for clinical AI_

Regulators, insurers, and legal teams will ask questions. Without artifacts, you have no defensible answers.

Clinical AI without escalation visibility

High-intensity sessions need attention. Without Observe, you can't see which sessions should have escalated but didn't.

Emotion inference in clinical contexts

Inferring emotional states in clinical settings faces regulatory scrutiny. Interpretation offers a more defensible posture.

EU AI Act Article 5(1)(f)Scrutinized

Audit exposure without evidence-grade records

HIPAA, GDPR, and insurance audits require documentation. Logs don't prove what your AI understood or decided.

Why DeepaData for therapy & coaching_

Escalation visibility. Consent management. Defensible artifacts. The governance layer clinical AI needs.

Observe Escalation Coverage

See what percentage of high-intensity sessions triggered escalation. Identify gaps where distress signals went unhandled. The visibility clinical AI needs.

Escalation Matrix

Correlation view of emotional intensity vs. escalation action. Find the gaps (high emotion, no response) and the noise (low emotion, over-response).

VitaPass Consent Per Session

Consent travels with emotional context. Patients can port their history to new providers or revoke access. Consent proof built into every artifact.

Sealed .ddna Artifacts

Every session produces a tamper-evident artifact with W3C Data Integrity Proofs. Defensible in audit, litigation, and regulatory review.

Architecture

How DeepaData integrates_

A governance layer between your clinical AI and your records. Every session documented and auditable.

Your Application

Therapy / Journaling / AI App

DeepaData API

EDM.json.ddnaVitaPass

Sealed Records

.ddna artifacts with W3C Data Integrity Proofs

Compliance

EU AI Act

Litigation

Evidence

Insight

Context

Portability

GDPR

→ Auditors / Regulators verify on demand

What measurably improves_

Move from reactive compliance to proactive clinical governance. Visibility into escalation. Consent at the data layer. Defensible records on demand.

  • Escalation coverage report — % of high-intensity sessions flagged
  • Escalation matrix — which sessions should have escalated but didn't
  • Sealed .ddna artifacts defensible in litigation and audit
  • VitaPass consent management for every session
  • Evidence-grade records showing AI interpretation boundaries
  • 72-hour audit response with artifact retrieval

The Compliance Distinction

Interpretation is not inference_

EU AI Act scrutinizes emotion inference in clinical contexts. DeepaData uses interpretation — structuring what patients explicitly express.

Inference (Scrutinized)

  • "Patient appears anxious based on voice patterns"
  • "Facial analysis suggests depression"
  • "Typing patterns indicate emotional distress"

Interpretation (Structured)

  • "Patient said: I've been struggling with anxiety"
  • "Session transcript: Discussed coping strategies for stress"
  • "Expressed relief after practicing breathing exercises"

Ready for defensible clinical AI records?

Enterprise pricing available. HIPAA-ready. Dedicated support, custom SLAs, and compliance reporting.