Harrison.ai vs Lunit

Lunit has a disclosed valuation of $829M, while Harrison.ai's valuation is not publicly available, making a direct size comparison difficult. Lunit employs 300 people.

Lunit has raised more in total funding at $150M, compared to Harrison.ai's $129M — a gap of $21M. Combined, the two companies have completed 4 known funding rounds.

Harrison.ai holds the higher Awaira Score at 68/100, compared to Lunit's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 5-point gap that reflects meaningful differences in scale or traction.

Harrison.ai was founded by Aengus Tran in 2018. Lunit was founded by Brandon Suh in 2013. Visit each company's profile on Awaira for a full founder biography.

Harrison.ai: Harrison.ai develops AI radiology and pathology analysis software for clinical deployment, building FDA-cleared and TGA-registered algorithms for chest X-ray abnormality detection, CT pulmonary angiography analysis, and mammography screening under its Annalise.ai product brand. The Sydney company focuses on AI clinical decision support that helps radiologists prioritise worklists, detect abnormalities, and reduce reporting errors in high-volume radiology departments.\n\nThe company raised approximately $129 million including a Series C from investors including Blackbird Ventures, Skip Capital, and Telstra Ventures. Harrison.ai has deployed its Annalise.ai platform across Australian hospital networks and has received US FDA clearance for its chest X-ray AI product, enabling international commercial expansion beyond Australia. The company has published clinical validation studies demonstrating AI performance that is non-inferior to specialist radiologist reads on chest X-ray abnormality detection across multiple institutions.\n\nHarrison.ai competes in the AI radiology market against Aidoc, Lunit, Qure.ai, and Behold.ai, which all target radiologist workflow assistance and clinical alerting. The Australian healthcare market provides a strong home base given the National Health Service framework and centrally coordinated radiology procurement, while FDA clearance opens the substantially larger US radiology AI market. The company is considered one of Australia most promising medical AI companies and a flagship for the Australian healthcare technology ecosystem. Lunit: Lunit is a South Korean AI healthcare company founded in 2013 that specializes in diagnostic imaging analysis using artificial intelligence. The company develops machine learning algorithms designed to assist radiologists in detecting abnormalities across medical imaging modalities, particularly in chest radiography, breast cancer screening, and CT scans. Lunit's core platform uses deep learning to analyze medical images and provide clinical decision support, aiming to improve diagnostic accuracy and efficiency in healthcare settings. The company's primary products include Lunit INSIGHT, a software solution that integrates with existing hospital infrastructure and picture archiving systems. Lunit has established a presence across Asia, Europe, and other regions, with its technology deployed in hospitals and diagnostic centers. The company went public on the Korean stock exchange, achieving a valuation of $0.8 billion. With $150 million in total funding raised through various rounds before its public listing, Lunit operates in a competitive segment alongside companies like Zebra Medical Vision, Arterys, and various regional competitors. The company faces competition from both specialized AI diagnostic firms and larger healthcare technology providers developing similar capabilities. Lunit's growth trajectory reflects increasing adoption of AI in medical imaging across Asia-Pacific markets, where regulatory pathways and healthcare infrastructure continue to evolve to accommodate such technologies. Lunit is among the few AI medical imaging companies to achieve public market status, particularly from South Korea, reflecting regional strength in healthcare technology innovation.

Lunit was founded first in 2013, giving it 5 years of additional market experience. Harrison.ai was founded later in 2018. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Harrison.ai has approximately 100-500 employees, while Lunit has approximately 300. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Harrison.ai and Lunit are direct competitors — both operate in the AI Healthcare space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.