Harrison.ai vs Qure.ai

Qure.ai has a disclosed valuation of $270M, while Harrison.ai's valuation is not publicly available, making a direct size comparison difficult. Qure.ai employs 250 people.

Qure.ai has raised more in total funding at $157M, compared to Harrison.ai's $129M — a gap of $28M. Combined, the two companies have completed 5 known funding rounds.

Qure.ai holds the higher Awaira Score at 70/100, compared to Harrison.ai's 68/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 2-point gap that reflects meaningful differences in scale or traction.

Harrison.ai was founded by Aengus Tran in 2018. Qure.ai was founded by Prashant Warier in 2016. 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. Qure.ai: Qure.ai is an Indian artificial intelligence company founded in 2016 that develops machine learning solutions for diagnostic imaging in healthcare. The company specializes in computer-aided detection and diagnosis systems that analyze medical imaging data including chest X-rays, CT scans, and mammograms to identify abnormalities and assist radiologists in clinical decision-making. Its platform uses deep learning algorithms trained on large datasets to detect conditions such as tuberculosis, COVID-19, lung cancer, and other pathologies. Qure.ai's products are deployed across hospitals and diagnostic centers in India and internationally, serving both institutional healthcare providers and diagnostic chains. The company has secured $157 million in total funding and operates at Series D stage with a valuation of $300 million as of recent rounds. Its technology addresses the shortage of radiologists in developing markets while improving diagnostic accuracy and turnaround times. Qure.ai competes in the medical AI space alongside companies like IBM Watson Health, Zebra Medical Vision, and various regional diagnostic AI providers. The company has demonstrated strong traction in the Indian healthcare market and has expanded its reach to international markets. Its growth trajectory reflects increasing adoption of AI-assisted diagnostic solutions globally and the rising demand for scalable healthcare technologies in resource-constrained settings. Qure.ai focuses specifically on diagnostic imaging AI for markets with radiologist shortages, positioning it distinctly within underserved geographies.

Qure.ai was founded first in 2016, giving it 2 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 Qure.ai has approximately 250. 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 Qure.ai 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.