a2z Radiology AI Raises $4.5M Seed to Scale Comprehensive CT Interpretation

Funding from Khosla Ventures and SeaX Ventures follows FDA clearance and RSNA 2025 debut; firm advances towards business deployment

a2z Radiology AI, developer of AI techniques for complete medical imaging interpretation, right now introduced a $4.5M seed spherical with participation from Khosla Ventures and SeaX Ventures. The funding will speed up business deployment of the corporate’s FDA-cleared triage system and continued R&D towards broader imaging interpretation capabilities.

The funding comes on the heels of two milestones: FDA clearance for a2z-Unified-Triage, the primary system to concurrently triage seven pressing circumstances on abdomen-pelvis CT scans within the U.S. market, and the corporate’s debut at RSNA 2025, the place it offered the primary potential examine evaluating AI-assisted preliminary report drafting for abdomen-pelvis CT.

That examine demonstrated that AI help diminished reporting time by 17.8%, elevated radiologist confidence by 14.8%, and decreased psychological demand by 22.4%—whereas bettering detection of findings with out rising false positives. The outcomes supply early proof that complete AI can meaningfully enhance each accuracy and effectivity, addressing longstanding questions concerning the real-world worth of radiology AI.

“Radiology is among the areas that can profit essentially the most from AI, guaranteeing no illness goes undetected,” mentioned Vinod Khosla of Khosla Ventures. “While others give attention to single circumstances, a2z is in a position to consider imaging for a broad vary of points, bringing us nearer to the excellent capabilities of a real-life radiologist.”

“Radiology is central to fashionable medication, however delays can decelerate care when well timed solutions are important,” mentioned Dr. Kid Parchariyanon, Founder and Managing Partner of SeaX Ventures. “a2z is assembly this problem with expertise that brings expert-level help immediately to clinicians. We’re proud to help a2z as they construct the instruments that make a significant distinction for suppliers and sufferers worldwide.”

With imaging demand outpacing the radiology workforce, clinicians face rising wait occasions for reads that information vital choices. Abdomen-pelvis CT alone accounts for over 20 million exams yearly within the U.S.—the highest-volume CT class. a2z’s method differs from present AI options that handle single circumstances: the corporate is constructing towards techniques that may consider imaging comprehensively, the way in which radiologists truly work.

“The response at RSNA validated what we’ve been constructing—AI that considers every part from A to Z in every examine,” mentioned Pranav Rajpurkar, PhD, co-founder of a2z Radiology AI and Associate Professor at Harvard Medical School. “This funding lets us maintain pushing on R&D whereas bringing our cleared expertise to the care groups who want it.”

“We’re constructing towards complete interpretation of advanced imaging research at a stage that merely hasn’t existed earlier than,” mentioned Samir Rajpurkar, co-founder and CEO.

The funding will help partnerships with well being techniques, continued product improvement, and business rollout in 2026.

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