a2z Radiology AI

Name

a2z Radiology AI

Legal name

a2z Radiology AI Inc.

Website

https://a2zradiology.ai

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Ownership category

akta.pro rank

Product category

Radiology AI Software

NAICS

Other Professional, Scientific, and Technical Services (5419)

SIC

Surgical & Medical Instruments & Apparatus (3841)

akta.pro primary industry

AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)

akta.pro secondary industries

Radiology AI, CAD & Advanced Visualization Software (HLAHABAJ), Teleradiology Platforms & Reading Workflow (HLACALAK), Imaging Interoperability & Standards Enablement (DICOM/HL7/FHIR/IHE) (HLACALAJ)

Keywords

• Radiology AI software
• Medical imaging triage
• CT scan analysis
• FDA-cleared diagnostics
• Clinical decision support

Headquarters

HQ city

Boston

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, Infrastructure, Operations

Revenue model

1. FDA-Cleared Triage System: Pre-commercial stage. Company is preparing for commercial deployment in 2026 of its FDA-cleared multi-condition triage system for health systems and radiology practices. Revenue model likely subscription or usage-based for enterprise customers.
2. Health System Partnerships: Targeting partnerships with health systems for clinical deployment. Commercial rollout planned for 2026. Model supports both cloud and on-premises deployment options.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels12 records

Core offering

a2z Radiology AI develops a foundation-model AI system that processes entire adult abdomen-pelvis CT scans in one pass and simultaneously triages seven urgent conditions (pancreatitis, diverticulitis, AAA, cholecystitis, small bowel obstruction, hydronephrosis, free air), reprioritizing flagged studies to the top of the radiologist worklist. The FDA 510(k)-cleared flagship, a2z-Unified-Triage (K252366), is sold to U.S. health systems and radiology practices, with a research-stage a2z Report Drafter extending the platform to draft structured image-to-report output.

Product overview

a2z Radiology AI offers a platform centered on two products: a2z-Unified-Triage (FDA 510(k)-cleared, K252366) and the a2z Report Drafter (research stage). The core product is a multi-condition AI triage system that processes whole abdomen-pelvis CT scans in a single pass to simultaneously detect seven urgent conditions and reprioritize the radiologist worklist. The Report Drafter extends the platform's capability by drafting full structured reports from scans, organizing findings by organ system — this is the 'image-to-report' frontier built on the same foundation model. The company is expanding from single-modality (abdomen-pelvis CT) toward broader CT coverage and multi-anatomy interpretation.

Differentiator

Problem solved

Functional benefit

Brands

• a2z-Unified-Triage: FDA-cleared multi-condition triage system for abdomen-pelvis CT scans that simultaneously flags and prioritizes seven urgent conditions.
• a2z Report Drafter

Products and services

• a2z-Unified-Triage FDA 510(k)-cleared multi-condition triage system for adult abdomen-pelvis CT that simultaneously flags and prioritizes seven urgent findings (pancreatitis, diverticulitis, AAA, cholecystitis, small bowel obstruction, hydronephrosis, free air) in a single model pass, moving flagged studies to the top of the radiologist worklist. Sold to U.S. health systems, hospitals, and radiology practices via DICOM router copy-route integration with cloud or on-premises deployment.
• a2z Report Drafter Research-stage image-to-report AI system that drafts structured reports from CT abdomen/pelvis scans, organizing findings by organ system with linked key images. Pre-populates findings, normal organ systems, pertinent negatives, and synthesizes impressions. Available for research collaboration and IRB-approved studies with academic and radiology research partners; not cleared for clinical or commercial use.

Quantifiable outcome

• 17.8% reduction in radiologist reporting time
• +4 more outcomes

Named customers1 record

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability5 records

Feature4 records

Partnerships

One partnership is on record.

• Health Systems (unnamed)coreStrategic or Co-development Partner · 9 December 2025Funding will support partnerships with health systems for clinical deployment of the FDA-cleared triage system. Company is actively pursuing health system partnerships for 2026 commercial rollout.

Scale indicators11 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Qure.ai: India/global radiology AI company with FDA-cleared algorithms for head CT, chest X-ray, and chest CT triage. Direct competitor in the AI triage category with similar enterprise health system GTM.
• Aidoc: Israel/US-based radiology AI company offering a broad suite of AI algorithms for CT triage (including abdomen, chest, head). Most direct competitor to a2z in AI-powered radiology triage, with established health system deployments across the US.
• Annalise.ai: Australia/US radiology AI company offering comprehensive multi-finding detection on chest and abdomen CT/X-ray. Closely comparable to a2z's multi-condition triage approach with broad coverage of multiple findings in one model.
• DeepHealth (RadNet subsidiary): AI-powered radiology subsidiary of RadNet offering FDA-cleared algorithms for breast, lung, and prostate imaging. Competes with a2z in the broader radiology AI enterprise market with significant commercial scale via RadNet.
• Viz.ai: Radiology AI company specializing in workflow orchestration and care coordination, with FDA-cleared triage algorithms across multiple conditions. Competes with a2z in health system AI deployment and worklist reprioritization.
• RapidAI: Radiology AI platform with FDA-cleared algorithms across multiple specialties including CT perfusion and triage. Comparable to a2z as an enterprise radiology AI vendor targeting health systems with FDA-cleared products.

Regional players

• HeartFlow: Cardiovascular-focused AI company with FDA-cleared CT-based coronary analysis. Comparable to a2z as a CT AI vendor with FDA clearance, though focused on cardiac rather than abdomen-pelvis applications.

Emerging players

• Riverain Technologies: Radiology AI company specializing in chest CT and X-ray AI for lung nodule and pathology detection. Comparable enterprise radiology AI vendor though focused on chest imaging rather than abdomen-pelvis.

Broad incumbents

• RadNet: Large US diagnostic imaging center operator that has invested heavily in AI through its DeepHealth subsidiary. Comparable in addressing the radiology AI market, though primarily a service provider rather than a pure-play AI software vendor like a2z.
• Nanox (formerly Zebra Medical Vision): Imaging AI company offering a broad portfolio of AI algorithms across multiple anatomies after acquiring Zebra Medical Vision. Comparable as a multi-condition radiology AI platform targeting health systems at scale.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/a2zradiologyai
• LinkedInlinkedin.com/company/a2z-radiology-ai

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles5 records

Funding overview

Funding rounds1 record

Investors2 records

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 a2z Radiology AI