# Anumana > Anumana, Inc. is a cardiac AI health-technology company founded as a joint venture between > Mayo Clinic and nference. Its FDA-cleared ECG-AI algorithms read standard 10-second, > 12-lead electrocardiograms to surface disease signals invisible to the human eye. Anumana > ships as a regulated medical device that runs inside the customer's own ECG management > system and EHR environment — it is not consumed as a public developer API. Generated by the API Evangelist enrichment pipeline on 2026-08-02 from apis.yml and the artifacts in this repository. Anumana does not publish an llms.txt of its own (https://anumana.ai/llms.txt returns 404). ## Important for agents - **There is no public Anumana API.** No OpenAPI, GraphQL, AsyncAPI, MCP server, or A2A agent card is published on any Anumana host. Do not attempt to synthesize one. - `api.anumana.ai` is an authenticated platform application (nferx). Every unauthenticated path — including nonexistent ones — 302-redirects to `/auth/signin/`. A 200 from that host is the sign-in shell, not an API response. - Integration happens through clinical data exchange, not REST: digital ECG waveform files in XML or DICOM format go in, and results flow back into the EHR via configured HL7 datapoints. Engagement starts with a demo request, not a signup and API key. - Products are FDA-regulated medical devices. Any statement about clinical indications must come from the Instructions for Use, not from inference. ## Products - [ECG-AI overview](https://anumana.ai/ecg-ai/): how the ECG-AI algorithms work. - [Our platform](https://anumana.ai/our-platform/): deployment and integration model. - [For healthcare providers](https://anumana.ai/for-healthcare-providers/): the clinical buyer view. - [ECG-AI indications for use](https://anumana.ai/ecg-ai-indications-for-use/): regulated indications. - [ECG-AI LEF Instructions for Use](https://anumana.ai/ecg-ai-lef-ifu/): the IFU document. - [ECG-AI Q&A](https://anumana.ai/faqs/): frequently asked questions. ## Regulatory Six Traditional 510(k) clearances are held by Anumana, Inc. in the FDA device database (verified against openFDA, 2026-08-02; verbatim response saved in this repo): - K250652 (2025-07-28) — ECG-AI Low Ejection Fraction (LEF) 12-Lead algorithm (1010) - K253801 (2026-04-07) — ECG-AI Cardiac Amyloidosis (CA) 12-Lead Algorithm (1040) - K252360 (2026-03-28) — ECG-AI Pulmonary Hypertension (PH) 12-Lead algorithm (1020) - K260300 (2026-06-15) — WatchMate Software - K233160 (2023-11-25) — NeuTrace EP Mapping System v.2.1 - K232699 (2023-09-28) — Low Ejection Fraction AI-ECG Algorithm - [Patents](https://anumana.ai/patents/) - [Publications](https://anumana.ai/publications) ## Security and trust - [Vulnerability disclosure policy](https://anumana.ai/vulnerability-disclosure/) — coordinated disclosure, contact `productsupport@anumana.net`, PGP key `869D8EE249C8F635D4DF979E6F25B266D42E71DC`, five-business-day acknowledgement. No bug bounty. - [Trust center](https://trust.anumana.ai/) — Vanta-hosted; certification detail is gated and was not readable anonymously. - [Terms of use](https://anumana.ai/terms-of-use/) - [Privacy policy](https://anumana.ai/privacy-policy/) ## Company - [Website](https://anumana.ai/) - [About us](https://anumana.ai/about-us/) - [News](https://anumana.ai/news/) ([RSS](https://anumana.ai/feed/)) - [Events](https://anumana.ai/events/) - [Careers](https://anumana.ai/careers/) - [Support](https://anumana.ai/support/) - [Request a demo](https://anumana.ai/request-a-demo/) - [Platform sign in](https://api.anumana.ai/auth/signin/) - [LinkedIn](https://www.linkedin.com/company/anumana-inc) ## API Evangelist artifacts - Contract discovery record: `discovery/anumana-contract-discovery.yml` - Conformance (regulatory + protocol): `conformance/anumana-conformance.yml` - FDA 510(k) verbatim response: `conformance/anumana-fda-510k.json` - Vulnerability disclosure: `security/anumana-vulnerability-disclosure.yml` - Trust center: `security/anumana-trust-center.yml` - Domain security probe: `security/anumana-domain-security.yml` - Well-known negative-result record: `well-known/anumana-well-known.yml`