Name

Vega Health

Legal name

Vega Health Inc.

Website

https://vegahealth.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Healthcare AI Infrastructure

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)

SIC

Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), Clinical Decision Support & Workflow Automation (Protocols, Templates, AI Scribing) (HLAMAGAH)

Keywords

• Healthcare AI infrastructure
• Clinical AI marketplace
• AI model evaluation
• Health system AI deployment
• AI performance monitoring

Headquarters

HQ city

Durham

HQ country

United States

HQ region

North America

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations

Revenue model

1. Subscription and Platform Fees: Vega Health operates on a subscription model where health systems pay for access to the platform, marketplace, and implementation/monitoring services. Revenue is also generated through licensing fees for AI models deployed via the marketplace.
2. Transaction Revenue Sharing: The company splits transaction revenue between itself and AI developers. This marketplace commission model creates a two-sided platform revenue stream where Vega Health takes a percentage of transactions between health systems and AI solution providers.

Pricing tiers

Go-to-market motion2 records

Distribution channels1 record

Marketing channels5 records

Core offering

Vega Health operates a healthcare AI infrastructure platform that equips health systems with on-premises infrastructure to integrate, evaluate, monitor, and scale AI solutions from any developer. Its Vega Health Marketplace offers a curated catalog of rigorously vetted, peer-reviewed clinical AI models (sourced from health systems like Parkland and Duke), while its Evaluate & Monitor service delivers continuous four-dimensional performance monitoring. The company also enables AI developers at health systems to commercialize their innovations by listing them on the marketplace under a subscription and revenue-sharing model.

Product overview

Vega Health is a healthcare AI infrastructure company offering a unified platform architecture consisting of four core components: the Vega Health Platform (infrastructure installed in health systems' local environments for data pipelines and AI runtime), the Vega Health Marketplace (curated collection of vetted AI models), Evaluate & Monitor (continuous performance monitoring), and Commercialize (commercialization pathway for health system innovators). The company also offers specific AI models including Sepsis Watch from Duke Health and five PCCI models covering sepsis prediction, trauma mortality risk, adverse drug events, and workplace safety. Vega Health operates on a subscription model, splitting transaction revenue between itself and AI developers.

Differentiator

Problem solved

Functional benefit

Products and services

• Vega Health Platform On-premises infrastructure platform installed in a health system's local environment, providing standardized data pipelines, a shared runtime for AI solutions from any developer, and continuous monitoring of technical performance, clinical adoption, and patient outcomes. Enables health systems to integrate, evaluate, and scale AI solutions while retaining control over their data and intellectual property.
• Vega Health Marketplace Curated healthcare marketplace of rigorously vetted, peer-reviewed AI models sourced from leading health systems and healthcare innovators. Each solution must meet three criteria: real-world clinical deployment with demonstrated results, peer-reviewed publication validation, and completion of the Health AI Partnership Model Label Fact Sheet. Health systems can evaluate models on their local patient data before implementation.
• Evaluate & Monitor Service offering that ensures AI delivers on its promises through objective evaluation and continuous monitoring on local data. Provides real-time data for both technical and clinical stakeholders, tracking technical accuracy, clinical adoption, real-world outcomes, and ROI/value capture across the AI portfolio using a four-dimensional monitoring framework.
• Commercialize Service that transforms AI research into market-ready products by accelerating commercialization through a distribution partnership that creates alternative revenue streams for health system innovators. Provides a pathway for scaling AI innovations beyond their original deployment sites via the Vega Health Marketplace.
• Sepsis Watch Machine learning model that uses real-time physiological and medication data to predict the onset of sepsis 12 hours in advance. Provides real-time nudges to the Rapid Response Team, tracks SEP-1 bundle compliance, and routes alerts for efficient clinical workflow integration. Increased SEP-1 bundle compliance by 89% and decreased sepsis mortality by 29% at Duke.
• Inpatient Sepsis Prediction Model (PCCI) Real-time model that identifies patients at risk of developing sepsis within the next 12 hours in inpatient medicine units, firing on average 19 hours before typical antibiotic administration. Surfaces top clinical drivers of each prediction directly in the EHR workflow.
• ED and Urgent Care Sepsis Present-on-Admission (POA) Model (PCCI) Front-door model that identifies patients arriving in the emergency department or urgent care setting who are already septic at presentation, triggering immediate provider and nursing alerts to accelerate time-to-treatment.
• Parkland Trauma Index of Mortality (PTIM) Predictive model that updates hourly to assess in-hospital mortality risk for polytrauma patients. Over a one-year period at Parkland, PTIM correctly identified 89% of high-risk and 92% of low-risk trauma patients.
• PARADE (Patients at Risk for Adverse Drug Events)

Named customers3 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature4 records

Partnerships

Three partnerships are on record, tiered core.

• Parkland Center for Clinical Innovation (PCCI)coreTechnology or Integration · 10 June 2026Licensing agreement making five of PCCI's clinically validated AI models available on the Vega Health Marketplace. Models address sepsis prediction, trauma mortality risk, adverse drug events, and workplace safety. The partnership establishes a commercialization pathway for health system innovators to scale AI solutions beyond their original deployment sites.
• Duke Institute for Health Innovation (DIHI)coreStrategic or Co-development PartnerOrigin organization for Vega Health's founding team. DIHI developed 60+ AI solutions over a decade. Vega Health licenses AI models from Duke including Sepsis Watch and provides commercialization pathway for DIHI innovations.
• Health AI Partnership (HAIP)coreStrategic or Co-development PartnerMulti-stakeholder collaborative co-founded by CEO Mark Sendak that empowers healthcare organizations to safely and effectively use AI. Provides technical assistance to FQHCs and has informed Vega Health's marketplace curation standards including the Model Label Fact Sheet requirement.

Scale indicators5 records

Recent moves8 records

Expansion highlights5 records

Emerging players

• Suki AI: Suki AI provides an AI assistant for clinicians (ambient documentation and clinical Q&A) integrated with EHRs, addressing a narrower clinical workflow use case than Vega Health but competing for the same AI procurement budget at health systems.
• Abridge: Abridge builds AI for clinical conversations and documentation, scaling rapidly to health systems and increasingly expanding into broader clinical AI workflows adjacent to Vega Health's marketplace territory.
• DeepScribe: DeepScribe offers an ambient AI medical scribe and related clinical AI tools deployed to health systems, representing a point-solution competitor for clinical AI budget that Vega Health would otherwise route through its marketplace.

Broad incumbents

• Tempus: Tempus is a large healthcare AI and precision medicine company offering clinical AI models, data infrastructure, and decision support to providers, broadly overlapping Vega Health's clinical AI marketplace but with a diagnostics-first footprint.
• Olive AI: Olive (now under different ownership) historically operated an AI automation platform for hospitals covering revenue cycle and clinical workflows, a comparable healthcare AI intermediary role that informs Vega Health's go-to-market risk profile.

Direct peers

• ClosedLoop.ai: ClosedLoop.ai is a healthcare-specific AI platform that builds and operationalizes predictive models (e.g., sepsis, readmissions) for providers and payers, competing for the same clinical AI deployment and monitoring budget as Vega Health.
• Innovaccer: Innovaccer offers a unified health data platform with AI applications and a marketplace-style app gallery for health systems, closely paralleling Vega Health's data-pipeline + AI marketplace + monitoring stack.
• Health Catalyst: Health Catalyst provides a healthcare data and analytics platform with AI/ML applications for clinical and operational improvement, overlapping with Vega Health's behind-the-firewall infrastructure and health system monitoring value proposition.
• Notable: Notable deploys AI-powered workflow automation and intelligent automation into hospital workflows via behind-the-firewall integration, sharing Vega Health's enterprise health system GTM and behind-the-firewall deployment model.
• LeanTaas: LeanTaas sells AI-driven applications and a platform to health systems for capacity, staffing, and patient flow optimization, with similar enterprise SaaS GTM and subscription model targeting the same hospital buyer.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/vega-health

Revenue estimate

Valuation estimate

Number of profiles

Profiles7 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Vega Health