Heidi Health
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.
At a glance
- Type
- Clinician-voice / provider-side personalisation
- Tier
- T2
- Created
- 2019 (founded 2019; Melbourne Australia)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- searched not found
- Funding
- $65M $465M val Series B · 2025-10
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
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