What Azra AI does

Azra AI is a Nashville, Tennessee-based healthcare AI company founded in 2022 that sells an enterprise platform automating clinical workflows across oncology, radiology, cardiology, emergency medicine, and clinical research. The platform is delivered through multiple modules — including oncology navigation (Journey), radiology incidental findings, high-risk screening, multi-disciplinary case review, tumor board, cancer registry abstraction, cardiology, ED discharge coordination, and enterprise analytics — and integrates with Epic and Cerner via HL7/FHIR. Underlying capabilities combine NLP for unstructured clinical text, predictive analytics, agentic AI with human-in-the-loop design, and process automation, with a reported sub-2% false positive rate on radiology incidental findings and a corpus of more than half a billion clinical reports processed annually across the deployed base. In May 2026 the company launched an Agentic AI Clinical Research Platform connecting health systems with pharma sponsors, and in April 2026 it acquired Thynk Health, adding lung cancer screening and oncology workflow capabilities and installing Daniel Weeks as COO.

The company monetizes through enterprise SaaS subscriptions, quote-based multi-year contracts with U.S. health systems, and managed clinical services that embed navigators, tumor board coordinators, and registry staff alongside the software. It has also introduced a pharma-sponsor transaction-based revenue stream via the Clinical Research Network. Customer disclosures indicate deployment at hundreds of U.S. health systems, including 5 of the top 10, but no individual customer logos or revenue concentration data are publicly disclosed. The company has raised approximately $15.9M across a 2022 seed round and a July 2025 Series 2 led by Connexa Capital with NewHealth Ventures and SJF Ventures.

Name

Azra AI

Legal name

Azra AI

Website

https://azra-ai.com

Company type

Private

Founded year

2022

Operating status

Operating

Headcount range

51–100 employees

Short description

Azra AI is a Nashville-based healthcare AI company that sells an enterprise platform automating oncology, radiology, cardiology, ED, and clinical research workflows for U.S. health systems, integrating with Epic and Cerner.

Ownership category

akta.pro rank

Product category

Healthcare AI Workflow Automation

NAICS

Software Publishers (5132), Computer Systems Design Services (541512)

SIC

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

akta.pro primary industry

Enterprise Integration Engines & Interface Management (HL7 v2/X12/API) (HLACABAC)

akta.pro secondary industries

AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG), EHR Extensions, APIs, App Marketplaces & SMART-on-FHIR Apps (HLACAAAN), Medical Imaging AI (HDAAAEAH)

Keywords

• Oncology workflow automation
• Clinical AI platform
• EHR integration software
• Cancer screening solutions
• Patient navigation software

Headquarters

HQ city

Franklin

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

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

Revenue model

1. Enterprise SaaS platform subscriptions: Recurring enterprise contracts with U.S. health systems for the Azra AI platform spanning oncology, radiology, cardiology, ED continuity, clinical trials and registry automation. Deployed across hundreds of hospitals including five of the top ten U.S. healthcare systems, indicating large multi-year, enterprise SaaS agreements rather than transactional or self-serve pricing.
2. Embedded clinical professional services (Navigation, MDM/Tumor Board, Cancer Registry Case Finding, Strategic Execution): Azra-employed navigators, tumor board coordinators, registry case finders and clinical excellence teams are deployed as an extension of the customer's team, billed as managed services on top of the platform. Described as flexible capacity extension without long-term FTE commitments from the customer.
3. Pharmaceutical / clinical research network partnerships: The Azra Clinical Research Network connects health systems to a pipeline of pharmaceutical studies, offering pharma companies a high-fidelity, "ready-to-enroll" site network. Represents a transaction- or sponsor-driven revenue stream from pharma for trial enrollment, feasibility and reporting services.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels5 records

Core offering

Azra AI provides an agentic AI clinical intelligence platform that bi-directionally integrates with leading EHRs (Epic, Cerner) via HL7/FHIR to deliver closed-loop, enterprise patient management across oncology, radiology, cardiology, emergency department, cancer registry and clinical trial workflows. The platform applies clinically trained NLP and disease-specific classification models to unstructured pathology, radiology and clinical reports to extract findings, stratify risk, and route patients into structured care pathways. It is sold as multi-year enterprise SaaS subscriptions bundled with embedded Azra-employed clinical navigators, tumor board coordinators and registry case finders.

Product overview

Azra AI is offered as a single unified enterprise platform with a suite of integrated solution modules rather than standalone products. The core is the Azra AI Enterprise Platform — a healthcare-grade agentic AI and workflow automation layer that bi-directionally integrates with leading EHRs (Epic, Cerner) via HL7/FHIR to overlay closed-loop patient management onto existing systems. The platform comprises the Closed-Loop Patient Management backbone plus named modules: Journey (Oncology Navigation), Radiology Incidental Findings (lung, breast, pancreas, liver, renal, GYN, neuro), High-Risk Screening Follow-Up, Multi-Disciplinary Case Review, Tumor Board, Cancer Registry Automation, Cardiology (Structural Heart), ED Discharge Coordination, the Agentic AI Clinical Research Platform (introduced May 2026 with the Unified Patient Intelligence Layer and Azra Clinical Research Network), and Enterprise Analytics & Insights. Thynk Health, acquired in April 2026, extends the platform with lung cancer screening and incidental findings depth. Clinical Advisory Services (Strategic Execution, Navigation as a Service, MDM Tumor Board Coordination, Cancer Registry Case Finding) provide human-in-the-loop stewardship on top of the technology. Together these modules power solutions across lung and breast cancer screening, incidental findings, multi-disciplinary meetings, oncology care coordination, clinical trial matching, ED discharge, and reporting & analytics within a single coordinated ecosystem.

Differentiator

Problem solved

Functional benefit

Brands

• Journey: Azra AI's oncology navigation software product that surfaces cancer patients at diagnosis, delivers risk-stratified navigator worklists, automated workflows, and real-time analytics.

Products and services

• Azra AI Enterprise Platform Healthcare enterprise AI platform that operationalizes underutilized clinical data to optimize and orchestrate care and clinical trial pathways. Combines agentic AI, multimodal data integration and workflow automation to transform fragmented clinical data into actionable intelligence, overlaying EHRs with bidirectional HL7/FHIR integration.
• Journey (Oncology Navigation) Oncology navigation module that surfaces high-risk patients at the moment of cancer diagnosis, prioritizes worklists by acuity and distress risk, automates distress screenings, consult scheduling, and follow-up documentation, and feeds data back to the EHR.
• Agentic AI Clinical Research Platform Clinical research platform built on Azra AI's real-time care orchestration engine that introduces a Unified Patient Intelligence Layer, Conversational UI for feasibility, autonomous agentic pre-screening and enrollment, proactive trajectory tracking, the Azra Clinical Research Network, automated portfolio reporting, and full traceability to source EMR data.
• Radiology Incidental Findings AI-powered imaging solution that ingests HL7/FHIR radiology reports, uses NLP to extract incidental findings (location, size, density, margins, nodule count) with under 2% false positives, applies risk stratification, and routes patients into surveillance or treatment pathways using guideline-aligned models (Lung-RADS, Fleischner, BI-RADS, LI-RADS, Bosniak, ACG/AGA).
• High-Risk Screening Follow-Up Screening follow-up and compliance solution covering Lung-RADS result tracking, BI-RADS surveillance interval management, and colorectal polyp surveillance that monitors every screening result, triggers guideline-matched follow-up activities, populates navigator worklists, and writes back to discrete EHR fields.
• Multi-Disciplinary Case Review Module that continuously monitors patient populations, flags individuals with high-risk findings (lung nodules, suspicious masses, incidental findings), assembles customizable meeting agendas, captures recommendations during case conferences, assigns action items with due dates and ownership, and surfaces overdue actions via automated alerts.
• Tumor Board Tumor board solution that proactively identifies newly diagnosed cancer patients, prepares customized case agendas with radiology, pathology and clinical history, captures recommendations, assigns navigation tasks, and supports Commission on Cancer (CoC) Standard 2.5 accreditation through structured data capture and automated reporting.
• Cancer Registry Automation Automated cancer registry case-finding solution that surfaces newly diagnosed cases by disease site in real time from pathology and radiology reports, integrates with the registry database, supports human-in-the-loop validation, and provides reporting for CoC, NAPBC, NAPRC, and NAACCR accreditation requirements.
• Cardiology (Structural Heart) AI-powered cardiology module for detection, acuity stratification, and closed-loop care coordination for structural heart disease (aortic and mitral stenosis). Surfaces findings from echocardiography, CT, and MRI, classifies by severity (mild/moderate/severe), routes to accountable care teams, and is expanding to automated population of STS/TVT registry fields.
• ED Discharge Coordination Emergency-to-outpatient continuity solution that ingests ED documentation, imaging, and clinical data from the EHR, surfaces imaging-driven findings and referral signals needing follow-up, and provides structured transition plans with proactive outreach to reduce avoidable ED revisits.
• Enterprise Analytics & Insights Healthcare analytics platform that converts structured workflow activity into executive-ready dashboards covering quality and clinical performance (time-to-diagnosis, time-to-treatment, referral completion, screening adherence), operational performance (navigator capacity, workload distribution, cross-site variation), and strategic growth and financial impact.
• Closed-Loop Patient Management Enterprise lifecycle patient management infrastructure that identifies patients from clinical signals and diagnostic findings, connects them to accountable care teams through structured workflows and defined ownership, and manages follow-through to completion with risk-tiered prioritization, automated task creation, escalation logic, and measurable oversight.
• Thynk Health (Lung Cancer Screening & Incidental Findings) Lung cancer screening and incidental findings management platform acquired by Azra AI in April 2026, specializing in the critical window between an imaging finding and a confirmed diagnosis — pulmonary nodule tracking, Lung-RADS scoring, Fleischner Society adherence, and lung incidental findings workflows.
• Clinical Advisory Services Human-in-the-loop professional services including Strategic Execution (six-pillar clinical implementation framework), Clinical and Non-Clinical Navigation as a Service, MDM Tumor Board Coordination as a Service, and Cancer Registry Case Finding as a Service — augmenting health system teams with embedded Azra-employed navigators and clinical excellence staff.

Quantifiable outcome

• 3× faster to treatment vs. standard unmanaged follow-up
• +7 more outcomes

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration2 records

AI capability9 records

Feature7 records

Scale indicators8 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Tempus AI: Tempus AI is an oncology-focused AI and data platform that ingests multimodal clinical and molecular data to support precision oncology. It is directly comparable to Azra AI because both serve U.S. health systems with AI-powered oncology decisioning and both combine structured and unstructured clinical data at enterprise scale.
• Flatiron Health: Flatiron Health is a Roche-owned oncology technology company focused on real-world clinical and molecular data for cancer care and research. It is directly comparable because it serves the same U.S. oncology ecosystem and processes oncology clinical data at scale for health systems and life-sciences sponsors.
• ConcertAI: ConcertAI is an oncology AI and real-world evidence company serving health systems, providers, and life-sciences companies. It is a direct peer because its AI-driven oncology decisioning and trial-enablement offerings overlap directly with Azra's oncology care coordination and clinical research modules.
• Syapse: Syapse operates a real-world evidence and precision-medicine platform for oncology, connecting health systems to life-sciences analytics. It is directly comparable to Azra because both target enterprise oncology workflows and serve as the bridge between community health-system data and pharmaceutical decisioning.
• Mendel: Mendel offers a clinical AI platform that structures unstructured EMR data and applies it to research and care workflows. It is comparable to Azra because both build HL7/FHIR-based AI platforms that turn clinical text into structured data for health systems and life-sciences customers.
• Iodine Software: Iodine Software provides AI-driven clinical documentation, mid-revenue cycle, and care-coordination tools to U.S. health systems. It is comparable to Azra because it overlays the EHR with AI-powered clinical workflows for large enterprise hospitals and uses a similar enterprise field-sales motion.

Emerging players

• Abridge: Abridge builds AI that converts patient-clinician conversations into structured clinical documentation and integrates with major EHRs. It is an emerging peer because, while it focuses on ambient documentation rather than oncology care coordination, it competes in the same HL7/FHIR-based AI overlay space and targets enterprise U.S. health systems.
• LeanTaaS: LeanTaaS applies AI and predictive analytics to hospital operations, including infusion centers, operating rooms, and inpatient capacity. It is an emerging peer because it shares Azra's enterprise-health-system AI overlay model and sales motion, though it focuses on operational rather than clinical-care workflows.

Broad incumbents

• Epic Systems: Epic is the dominant U.S. EHR vendor and is expanding native AI and analytics capabilities for care management, registries, and trial enrollment. It is a broad incumbent because its installed base (where Azra's customers live) and growing AI portfolio represent both Azra's distribution channel and its most direct long-term competitive threat.
• Health Catalyst: Health Catalyst is a healthcare analytics and data platform vendor serving large U.S. health systems. It is a broad incumbent because it competes for the same enterprise-analytics and care-coordination budget Azra targets, while operating a wider portfolio that includes non-oncology service lines.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/Azra_AI_Health
• LinkedInlinkedin.com/company/azra-ai

Revenue estimate

Valuation estimate

Number of profiles

Profiles13 records

Subsidiaries1 record

Funding overview

Funding rounds3 records

Investors5 records

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

M&A1 record

Investments

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

Frequently asked questions about Azra AI