Harrison.ai has been shortlisted for a 2026 Global Recognition Award

Company name

Harrison.ai

Website URL

https://harrison.ai

Industry

Digital Healthcare / AI Medical Imaging

Areas of excellence

Innovation, Service

Scale of impact or excellence in your field

International

Technological advancement

5

Novelty and originality of innovation

5

Addressing global challenges

5

Market impact or potential

5

Scale and reach of service initiatives

5

Potential for real-world application

5

Research – Originality or innovation in research or its methodology

5

Supporting evidence to showcase achievements

Harrison.ai is exceptional in delivering cutting-edge AI diagnostic tools for medical imaging that empower clinicians to diagnose and treat patients faster while raising the standard of care globally. Founded in Australia, our solutions are now used by 3,500 clinicians at over 1,000 sites across four continents. Our flagship radiology solution, Annalise.ai, has regulatory clearances in over 40 countries with 254 findings approved by TGA (Australia) and CE MDR (Europe), plus 12 FDA-cleared findings in the United States. 

We’ve developed Harrison.rad.1, a groundbreaking radiology-specific large multimodal foundational model that excels at radiology tasks—representing the latest frontier in medical AI. Our technology addresses critical healthcare capacity constraints by providing clinicians with AI-powered second opinions that catch subtle findings, prioritize urgent cases, and accelerate care pathways. Deployed in major healthcare systems including South Australia Medical Imaging’s network (Royal Adelaide Hospital, Lyell McEwin Hospital, Flinders Medical Centre), our solutions seamlessly integrate clinical expertise with sophisticated AI. 

Our platform includes localized findings visualization and confidence scores that support radiologists in making informed decisions. We’re also developing Franklin.ai for pathology, extending our AI capabilities to microscopic tissue examination. With four years of dedicated development and ongoing innovation in foundational models, we’re transforming medical imaging and setting new standards for AI-assisted diagnosis.