DeepaData is the governance layer for emotional AI. Capture affective context, seal it with integrity proofs, and observe how your systems handle what matters most.
“Your companion AI had 40 high-distress conversations last week. None were flagged for review.”
“A user returned after three weeks. Nothing from the previous session was surfaced.”
“Your model upgrade improved benchmark scores. Emotional interpretation shifted in 340 sessions.”
“Last week: 23 high-intensity interactions. 6 triggered escalation. 17 didn't.”
Transform emotional context into evidence-grade artifacts.
EDM.json — Extract what was significant
.ddna — Signed by DeepaData
Metadata — Compliance in-band
VitaPass — Moves with the subject
API — Confirm authenticity
Extract and seal in under 10 lines.
// Extract emotional context from text
const response = await fetch("https://www.deepadata.com/api/v1/extract", {
method: "POST",
headers: {
"Authorization": "Bearer dda_live_...",
"Content-Type": "application/json"
},
body: JSON.stringify({
content: "After a difficult marriage, I decided to return to school. Sitting by
the water at Coney Island, I felt something stir — not just hope, but a quiet pride."
})
});
const { data } = await response.json();
console.log(data.artifact); // Structured affective record{
"artifact": {
"meta": { // artifact identity
"version": "0.5.0",
"consent_basis": "consent",
"pii_tier": "moderate"
},
"core": { // narrative anchors
"anchor": "return to school",
"spark": "sitting by the water",
"wound": "difficult marriage",
"fuel": "quiet pride",
"bridge": "imagining becoming myself",
"echo": "feeling of hope"
},
"constellation": { // emotional topology
"emotion_primary": "hope",
"emotion_subtone": ["pride", "renewal"],
"narrative_arc": "transformation",
"narrative_archetype": "seeker",
"symbolic_anchor": "Coney Island",
"identity_thread": "rediscovering my true self",
"expressed_insight": "I can become myself again.",
"transformational_pivot": true
},
"gravity": { // affective weight
"emotional_weight": 0.7,
"valence": "positive",
"tether_type": "place",
"recall_triggers": ["water", "sunlight"],
"strength_score": 0.8,
"resilience_markers": ["acceptance", "optimism"]
},
"impulse": { // drive and agency
"primary_energy": "hope",
"drive_state": "approach",
"agency_level": "high",
"coping_style": "process"
},
"governance": { // rights and retention
"subject_rights": { "portable": true, "erasable": true },
"exportability": "allowed"
}
}
}Example response (simplified)
Reporting built for the teams responsible for what emotional AI does in production.
Your last deployment shifted emotional interpretation in production. See exactly what changed, in which sessions, and how far it drifted.
Last week: 23 high-intensity interactions. 6 triggered escalation. 17 didn't. Here are the 17.
See which interaction patterns triggered escalation and which didn't. Know your gaps before a regulator does.
All reports operate over sealed .ddna artifacts — not raw logs.
DeepaData is a Semantic XAI Layer — it explains what AI outputs mean about people, not how the model works internally. This makes it additive to existing governance stacks.
Article 5(1)(f) compliant — interpretation, not inference
Portable, erasable, explainable records
Policy labels for healthcare contexts
Export-ready data artifacts
Therapy · Coaching · Telehealth
Every session produces a governed record of emotional context. Auditable, defensible, compliant.
Learn MoreJournaling · Companion AI · Legacy platforms
Meaningful moments preserved before they're lost in inference. What mattered, structured and signed.
Learn MoreHR Tech · Wellbeing · Enterprise AI
Interpret, don't infer. EU AI Act compliant by architecture — not by policy.
Learn MoreRecall · Retrieval · Agent memory
Retrieve by what matters, not what's recent. Governed artifacts your memory stack can trust.
Learn MoreEach record carries a cryptographic proof (eddsa-jcs-2022). Verify any artifact independently.
EDM v0.5 is published on Zenodo with DOI 10.5281/zenodo.18541956 — citable and permanent.
90% enum alignment. 77% semantic match across 3 LLM providers. 226 tests passing.
We do not train models on your emotional data. Artifacts are processed, sealed, and returned.
First 1,000 governed records are free. Upgrade when you're ready for production.
Free
$0/mo
For prototyping
Starter
$79/mo
For early production
ProRecommended
$349/mo
For production at scale
.ddna records_Early access is free. No credit card. Or work with us as a design partner and shape the issuance model.
Get an API key and issue records in minutes. 1,000 records/month free. Extract, seal, govern, and verify — end to end.
+ REQUEST API KEYBuilding something where emotional context matters? We're working with a small group of teams to refine the issuance API and certification model. Direct access, priority support, and roadmap input.
+ APPLY AS DESIGN PARTNER