Heidi Health

https://www.heidihealth.com/

Ambient documentation with clinician-profile learning. System learns each clinician's preferred note structure, phrasing patterns, symptom-outlining conventions — applies persistently across sessions. Provider-side personalisation rather than patient-longitudinal memory.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 31 cited facts, 3 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
searched not found fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
product vendor fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
cross-session
update
extraction
unit
fact
governance
auditable
conflict
editor-in-the-loop

When to use

Optimised for: HIPAA compliance + clinical-grade provenance + EHR integration

Anti-fit: not for non-healthcare verticals; must operate under HIPAA / regional health regulation

Pros & cons

Pros

Australia / NZ scribe with growing global presence; clean clinician UX and strong native EMR integrations.

Cons

Strongest in regions with smaller US presence; competitor field is crowded.

Claims & capabilities

KLAS 2025 Emerging Company Spotlight. ISO 27001 / SOC 2 / HIPAA / GDPR / NHS-DSP certified. Evidence product (Feb 2026) with HealthPathways / BMJ / NICE partnerships.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
searched not found
Embedding model
searched not found
Multi-tenancy
Region-appropriate residency + secure hosting + audit logging; BAA with each covered entity; no audio retention
MCP
no MCP support advertised — vertical product, no MCP server / client integration documented
A2A
no A2A protocol support advertised — vertical product, no A2A integration documented
OpenTelemetry
no OpenTelemetry integration advertised — vendor logs/observability not publicly documented

Similar systems

Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.

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  • Abridge T1

    Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.

  • ASAPP GenerativeAgent T1

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  • Causaly T1

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Sources (30 cited facts, 3 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • Funding / ownership “$65M $465M val Series B · 2025-10” → “total ~$436.6M (Series C $100M equity led by Blackbird at $900M val + $240M non-dilutive growth financing from General Catalyst CVF, 2026-09)” source
    #195