K Health
Primary care / virtual physician intake. Two-agent pipeline: one extracts the relevant EMR subset, second answers grounded to that filtered history. Architecture explicitly diverges by patient condition (diabetic vs heart-failure get different responses to same intake).
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 29 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- EMR-filtered two-agent pipeline vendor fix
- Tier
- T1
- Created
- 2016 (founded 2016 by Allon Bloch Ran Shaul et al.; New York) third-party fix
- 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
- Funding
- $58.9M raised per SEC filing (2026-08; round/valuation undisclosed); prior ~$50M Series F at ~$900M (2024-07) third-party fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- relational
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- episode
- governance
- auditable
- conflict
- none
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
Long-running clinical AI with memory grounded in millions of de-identified patient-symptom trajectories — actual ground-truth corpus.
Cons
K Health's data is proprietary — memory benefits don't transfer to other products; primary care scope.
Claims & capabilities
Matched physician decisions in 2/3 of real cases. Fine-tuned on Gemma 3 via Vertex AI. Live on Mayo Clinic Platform (May 2025); Northwell partnership; HBS case study.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- 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
Alternatives to K Health → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- 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
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (28 cited facts, 4 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is EMR-filtered two-agent pipeline vendor
- What it does & what's distinct Primary care / virtual physician intake. Two-agent pipeline: one extracts the relevant E… vendor
- Claims / benefits Matched physician decisions in 2/3 of real cases. Fine-tuned on Gemma 3 via Vertex AI. L… vendor
- Modalities text vendor
- Created 2016 (founded 2016 by Allon Bloch Ran Shaul et al.; New York) third-party
- Funding $58.9M raised per SEC filing (2026-08; round/valuation undisclosed); prior ~$50M Series … third-party
- Customers / scale 201-500 ppl Hospital systems, health systems, consumer telehealth third-party
- HQ US (New York) third-party
- Memory volume / scale internal — undisclosed (proprietary EMR dataset) vendor
- Consistency strong consistency required for clinical record integrity vendor
- Versioning immutable audit log (HIPAA + 21 CFR Part 11 require audit trails) vendor
- Tombstoning audit-logged soft delete (regulatory retention requirement) vendor
- Schema evolution FHIR/HL7-aligned schema (clinical standard); minor versioning vendor
- Namespace primitives tenant-per-customer (BAA-scoped); patient-scoped within tenant vendor
- Contradiction handling clinician-in-the-loop reconciliation (editor-in-the-loop) vendor
- Forgetting policy regulated retention (7+ years per HIPAA + state law); patient-requested deletion governe… vendor
- Validated verticals healthcare (ambient documentation, clinical decision support, primary care, oncology) vendor
- Time to running <1week to weeks-to-months (HIPAA-regulated enterprise procurement + EHR integration) vendor
- Anti-fit not for non-healthcare verticals; must operate under HIPAA / regional health regulation vendor
- Optimised for HIPAA compliance + clinical-grade provenance + EHR integration vendor
- Adjacent infrastructure requires EHR integration + clinical workflows vendor
- Pros Long-running clinical AI with memory grounded in millions of de-identified patient-sympt… vendor
- Cons K Health's data is proprietary — memory benefits don't transfer to other products; prima… vendor
- Project & sources khealth.com Knowledge Agent vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial vendor
- positioning-platform-vs-product product vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)