diagnostic-ai
(3)
Qure.ai Learned the Hard Part of Medical AI Isn’t Reading the Scan - It’s Getting Anyone to Act on It
The Mumbai-born company had accurate algorithms, willing pilot sites and almost no habitual users. Its climb from $113,000 in annual revenue to 45 million lives touched is a lesson in why clinical workflow - not clever code - decides whether healthcare AI matters.
Harrison.ai
Harrison.ai is a Sydney-based clinical AI company founded in 2018 by brothers Dr Aengus Tran and Dimitry Tran. It builds artificial-intelligence software that helps clinicians read medical images faster and more accurately - flagging urgent findings on chest X-rays and brain and chest CT scans, and streamlining pathology review. Its diagnostic products, radiology brand annalise.ai and pathology joint venture franklin.ai, are used at more than 1,000 healthcare sites across four continents, with regulatory clearance in 40-plus countries. The company positions itself as a builder of foundation models for medicine, releasing harrison.rad.1, a radiology-specific multimodal large language model. Harrison.ai raised a US$112 million Series C in February 2025 to fund a US expansion, taking total capital raised past US$240 million.
Voio
Voio is a Berkeley-based frontier AI lab building a unified reading platform for radiology. Spun out of UC Berkeley and UCSF, it develops the open-source Pillar family of models that interpret CT, MRI and X-ray scans across hundreds of conditions, aiming to help radiologists work faster without trading away accuracy. The company exited stealth in November 2025 with $8.6M in seed funding.