a2z Radiology AI
Category: AI in Healthcare
AI-powered comprehensive medical imaging interpretation system providing immediate answers to questions about CT scans a2z Radiology AI was founded in 2024. The company is led by Samir Rajpurkar. Based in Boston, USA. Team size: 10-50. Total funding raised: $4.5M. Latest round: Seed. Key investors include Khosla Ventures, SeaX Ventures.
- Founded
- 2024
- Headquarters
- Boston, USA
- Team size
- 10-50
- Total funding
- $4.5M
Value proposition
To provide a comprehensive AI safety net for radiology, ensuring no disease goes undetected by analyzing hundreds of clinical findings per scan and reducing reporting time while increasing radiologist confidence
Products and solutions
a2z-Unified-Triage: FDA-cleared triage and notification system for seven findings on abdomen-pelvis CT scans, a2z-Abdo-Triage: FDA-cleared triage and notification system for 10 additional findings on abdomen-pelvis CT scans; announced September 21, 2026, a2z-1: AI model that analyzes abdominal-pelvis CT scans and reports to catch potential misses across 21 conditions
Unique value
Unlike narrow AI tools that detect a single condition, a2z Radiology AI has developed a generalist system that can identify a wide range of conditions in a single pass - the first multi-condition triage system for abdomen-pelvis CT scans
Target customer
Radiologists, hospitals, and outpatient imaging centers
Industries served
Healthcare (Radiology and Medical Imaging)
Technology advantage
Multi-disease detection model that can analyze hundreds of clinical findings per scan, addressing radiologist shortages and backlogs while improving diagnostic accuracy and expediting patient care for critical conditions
How they differentiate
a2z Radiology AI provides multi-condition abdomen-pelvis CT triage covering 17 specified findings across two FDA-cleared devices: seven through a2z-Unified-Triage and 10 through a2z-Abdo-Triage. The devices prioritize suspected positive studies for radiologist review.
Main competitors
Viz.ai, Aidoc, Annalise.ai
Key partnerships
Khosla Ventures (lead investor), SeaX Ventures, Harvard Medical School (through Pranav Rajpurkar)
Major milestones
Received FDA clearance for a2z-Unified-Triage on November 24, 2025, Successfully raised $4.5M in seed funding, Developed a2z-1 comprehensive AI model, Three team members named to Radiology Business 40 Under 40 Class of 2025, Received FDA clearance for a2z-Abdo-Triage on September 16, 2026, adding 10 findings and expanding the triage portfolio to 17 findings across two devices
Growth metrics
Clinical data shows AI assistance reduced reporting time by 17.8%, increased radiologist confidence by 14.8%, and decreased mental demand by 22.4% without increasing false positives
Market positioning
Pioneer in comprehensive AI-powered radiology market, positioning as essential intelligence layer for medical imaging with FDA-cleared unified triage system
Geographic focus
Primary focus on U.S. market with FDA clearance, headquartered in Boston, MA
Patents and IP
Not publicly available
About Samir Rajpurkar
Technology industry veteran with three decades of award-winning enterprise-scale global technology transformations, leading teams of hundreds across more than 20 countries. Previously founded Leap Fintech software consulting firm in Dubai.
Latest news about a2z Radiology AI
- a2z Radiology secured $4.5M in funding and FDA clearance for Unified Triage, a pioneering multi-condition AI solution for abdomen-pelvis CT scans. This system, capable of flagging seven urgent finding
- a2z Radiology AI secured $4.5M in Seed funding from Khosla Ventures and SeaX Ventures. This investment validates AI's critical advancement in medical imaging, particularly for FDA-cleared comprehensiv
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Official website: https://a2zradiology.ai/