Harrison.ai vs Insitro

Insitro has a disclosed valuation of $2.2B, while Harrison.ai's valuation is not publicly available, making a direct size comparison difficult. Insitro employs 300 people.

Insitro has raised more in total funding at $743M, compared to Harrison.ai's $129M — a gap of $614M. Combined, the two companies have completed 4 known funding rounds.

Insitro leads with an Awaira Score of 73/100, while Harrison.ai sits at 68/100. That 5-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Harrison.ai was founded by Aengus Tran in 2018. Insitro was founded by Daphne Koller in 2018. 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. Insitro: Insitro is an AI-driven drug discovery company founded in 2018 that applies machine learning to accelerate pharmaceutical development. The company combines computational biology, artificial intelligence, and wet-lab experimentation to identify and validate drug targets more efficiently than traditional methods. Insitro's platform uses proprietary algorithms to analyze complex biological data, predict drug efficacy and safety profiles, and optimize candidate selection across therapeutic areas including metabolic disease, oncology, and immunology. The company has raised $743 million across multiple funding rounds, achieving a valuation of $2.2 billion as of its Series C stage. This positions Insitro among well-capitalized AI healthcare startups addressing the structural inefficiencies in drug discovery. The company partners with pharmaceutical institutions to apply its technology to their pipelines, utilizing both internal discovery programs and collaborations. Insitro's competitive approach differs from pure software platforms by integrating experimental validation, reducing the translation gap between computational predictions and real-world drug performance. The company operates in a crowded but expanding market of AI drug discovery platforms competing against both established pharma AI initiatives and other venture-backed startups. Its growth trajectory reflects investor confidence in AI-enabled drug discovery models, though clinical validation remains ongoing for internally developed candidates. Insitro uniquely combines machine learning with integrated wet-lab capabilities rather than operating as pure software, bridging computational predictions to experimental validation.

Both Harrison.ai and Insitro launched in 2018. Same year, but even a few months' head start matters in AI — early movers lock in data, talent, and customer relationships fast.

Harrison.ai has about 100-500 employees; Insitro has about 300. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Harrison.ai and Insitro compete in AI Healthcare, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.