Us2.ai

Us2.ai is a Singapore-founded medical AI company (founded 2017 as eko.ai by James Hare, Dr. Carolyn Lam, and Dr. Yoran Hummel) whose FDA-cleared, CE-marked software fully automates echocardiography analysis — taking a routine DICOM echo study and returning a complete structured report with measurements, disease detection (heart failure, cardiac amyloidosis, aortic stenosis, pulmonary hypertension, strain), and findings in seconds, with zero clicks. The platform is vendor-neutral and DICOM-native, deploying via ultrasound OEMs (Fujifilm LISENDO 880), AI marketplaces (Viz.ai, Harrison.ai), cardiology PACS (Merge Cardio via DICOM-SR/HL7), or as a cloud-hosted service with an API for programmatic study submission and result retrieval used by research programs, imaging core labs, and pharma trials (partner-gated; no public API reference is published). Validated in 150+ peer-reviewed publications, cleared in 28+ regulatory markets, and ISO 13485 / ISO 27001:2022, SOC 2 Type II, MDSAP, HIPAA, and GDPR compliant. Backed by Partech, Sequoia India, EDBI, and IHH Healthcare.

Us2.ai is profiled on the APIs.io network. Tagged areas include Company, Healthcare, Cardiology, Echocardiography, and Artificial Intelligence.

Us2.ai’s developer surface includes documentation, support, engineering blog, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

28.3/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyHealthcareCardiologyEchocardiographyArtificial IntelligenceMedical ImagingDICOMDiagnostics

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 28.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 3.0 / 20

Commercial Clarity 10.0 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/us2ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

VulnerabilityDisclosure

VulnerabilityDisclosure

DomainSecurity

DomainSecurity

Compliance

Compliance

Security

Security

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: us2ai
name: Us2.ai
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 6
  pass: local-v1
description: Us2.ai is a Singapore-founded medical AI company (founded 2017 as eko.ai by James Hare, Dr. Carolyn Lam, and
  Dr. Yoran Hummel) whose FDA-cleared, CE-marked software fully automates echocardiography analysis — taking a routine DICOM
  echo study and returning a complete structured report with measurements, disease detection (heart failure, cardiac amyloidosis,
  aortic stenosis, pulmonary hypertension, strain), and findings in seconds, with zero clicks. The platform is vendor-neutral
  and DICOM-native, deploying via ultrasound OEMs (Fujifilm LISENDO 880), AI marketplaces (Viz.ai, Harrison.ai), cardiology
  PACS (Merge Cardio via DICOM-SR/HL7), or as a cloud-hosted service with an API for programmatic study submission and result
  retrieval used by research programs, imaging core labs, and pharma trials (partner-gated; no public API reference is published).
  Validated in 150+ peer-reviewed publications, cleared in 28+ regulatory markets, and ISO 13485 / ISO 27001:2022, SOC 2 Type
  II, MDSAP, HIPAA, and GDPR compliant. Backed by Partech, Sequoia India, EDBI, and IHH Healthcare.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://us2.ai/favicon.png
url: https://raw.githubusercontent.com/api-evangelist/us2ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- partech
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Healthcare
- Cardiology
- Echocardiography
- Artificial Intelligence
- Medical Imaging
- DICOM
- Diagnostics
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: TrustCenter
  url: security/us2ai-trust-center.yml
- type: VulnerabilityDisclosure
  url: security/us2ai-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/us2ai-domain-security.yml
- type: Website
  url: https://us2.ai/
- type: Documentation
  url: https://docs.us2.ai/
- type: Support
  url: https://us2.ai/contact-us/
- type: Blog
  url: https://us2.ai/news/
- type: GitHubOrganization
  url: https://github.com/us2-ai
- type: TermsOfService
  url: https://us2.ai/terms/
- type: PrivacyPolicy
  url: https://us2.ai/terms/#privacy-policy
- type: Login
  url: https://app.us2.ai/
- type: LLMsTxt
  url: llms/us2ai-llms.txt
- type: Conformance
  url: conformance/us2ai-conformance.yml
- type: Compliance
  url: https://trust.us2.ai/
- type: Security
  url: https://us2.ai/security/