echoloc

K Health Tech Stack

Clinical AI and virtual care platform for health systems

Hospitals and Health Care New York, NY 201–500 employees Founded 2016 Privately Held

K Health operates a hybrid clinical AI and virtual clinic model, combining an LLM-powered symptom-investigation system with a 24/7 workforce of credentialed providers. The tech stack signals a mature healthcare engineering org: Epic/MyChart (EHR integration), Python + Kubernetes + Apache Airflow (ML pipeline infrastructure), and Datadog/Sumo Logic (observability at scale). Hiring velocity is accelerating with 14 active healthcare roles and a strong senior/director ratio, while their project roadmap—population health, post-discharge support, featurestore integration, operational tooling—reflects a shift from single-health-system deployments toward repeatable, scalable clinic operations.

Tech Stack 38 technologies

Core StackEpic Systems Python AWS Apache Airflow Kubernetes Node.js TypeScript Kotlin Java GraphQL Datadog Okta Prisma Braze pandas NumPy scikit-learn Docker Intune Jira Slack GCP Azure MyChart Epic Sumo Logic Torq Kubeflow Pipelines Jamf LangFuse+8 more

What K Health Is Building

Challenges

  • Improving efficiency and clinical outcomes
  • Reducing hospital readmissions
  • Closing care gaps
  • Burnout
  • Reducing administrative burdens
  • Moving away from bespoke one-off work
  • Scalable virtual clinic operations
  • Optimizing clinical workflows
  • Managing lab result processing
  • Staffing and operational costs

Active Projects

  • Virtual comprehensive care clinics
  • Mychart feature launch
  • Post-launch rollout of complex implementations
  • Population health initiatives for risk-attributed patients
  • Post-discharge patient support
  • Post-discharge support to reduce readmissions
  • Clinical guidelines development
  • Improve operational tooling
  • Scalable operational processes
  • Featurestore integration

Hiring Activity

Accelerating25 roles · 25 in 30d

Department

Healthcare
14
Data
2
Ops
2
Security
2
Engineering
1
Marketing
1
Product
1
Support
1

Seniority

Senior
17
Mid
4
Director
2
Junior
1

Notable leadership hires: Medical Director

Company intelligence

Find more companies like K Health by tech stack, pain points and active projects

Get started free

About K Health

K Health partners with leading health systems to operate 24/7 virtual clinics powered by clinical AI and a dedicated medical workforce. The platform integrates deeply into Epic (via MyChart for patients, a provider portal for clinicians) and wraps the EHR with AI-driven pre-visit triage, point-of-care decision support, and automated documentation. The company operates both as a technology vendor and a care delivery operator—running the clinical staff directly to meet each health system's protocols and patient volumes. Founded in 2016, K Health is based in New York and has raised approximately $400 million from healthcare-focused investors and strategic partners.

HeadquartersNew York, NY
Company Size201–500 employees
Founded2016
Hiring MarketsUnited States

Frequently Asked Questions

What is K Health's technology stack built on?

K Health uses Epic Systems for EHR integration, Python + Kubernetes + Apache Airflow for ML pipelines, AWS/GCP/Azure for cloud infrastructure, and Datadog/Sumo Logic for observability. The platform includes Kubeflow Pipelines, GraphQL APIs, and integrates with MyChart for patient engagement.

What is K Health working on in 2024?

Active projects include virtual comprehensive care clinics, MyChart feature launches, population health for risk-attributed patients, post-discharge readmission reduction, featurestore integration, and operational tooling to reduce bespoke one-off work across deployments.

How this profile is built

K Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.