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Invest in an AI-powered platform for fast and accurate diagnoses.
Important disclosure
*We are finalizing the price and valuation terms of the deal with our approved brokerages. The implied valuation of the deal is a preliminary estimate as it reflects the current market price of the offer.
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What Is Plaid?
PathAI has developed a technology that helps pathologists make accurate diagnoses for patients. The company uses AI to improve the analysis of patient tissue samples and provides solutions for lab services to clinical trials and diagnostic use.
Why Invest in PathAI?
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Manual pathology is highly subjective and varies between doctors, leading to different diagnoses. Being in short supply, pathologists have to spend long hours reviewing data leading to lack of interaction with patients. New PathAI technology is changing all that, saving countless hours. It uses massive datasets to train and validate AI models. This means faster drug development, more accurate diagnosis, and getting therapies to patients faster.
PathAI has long-term partnerships with companies such as Labcorp, BMS, Roche, GSK (formerly GlaxoSmithKline) and Datavant. These companies use PathAI's platform to accelerate drug development. With recent clearance in the US and EU, the company is poised to generate revenue from hospitals using its service to improve clinical diagnoses accuracy and speed.
PathAI expands its AI solutions in the pathology field and provides research services for a variety of organizations including medical device manufacturers, in-vitro diagnostic assay developers, contract research organizations, and academic medical centers. As their AI engine collects more data, there is a possibility of phasing out the need for pathologists in some cases and advancing every phase of drug and diagnostic development.
Product: AISight
AISight is the AI-powered precision pathology platform. It’s used by biopharmaceutical companies, contract researchers, laboratories, academic institutions, and physicians to support AI-driven research. The process includes the following steps: Using AISight, researchers can use the digital pathology platform to better understand how patient tissue samples react to certain drugs and even predict how patients may react to new drug formulations. Further, AISight enables certain pharmaceutical companies to better understand the biomarkers (elements that predict disease) that react to a drug formulation.
Market
Digital pathology is a diagnosis carried out by the use of various computer technologies. Digitized specimen slide generates information that is managed by advanced computation and through virtual microscopy.
Digital pathology improves lab efficiency by lowering costs, speeding up response times, and giving subject-matter expertise. As per the WHO survey, the total number of chronic respiratory disease cases increased by 39.5% between 1990 to 2017. The rising prevalence of chronic diseases has further increased the requirement for digital pathology.
Financials
PathAI has raised a total of $255M in funding over 3 rounds from 19 investors including General Catalyst (invested in Snap, Airbnb, Livongo Health), Tiger Global Management (invested in Roblox, Meta, Square), General Atlantic (invested in CrowdStrike, Uber, Ginkgo Bioworks), Merck, Bristol Myers Squibb and others.
Risks
Company-specific risks
Regulation. PathAI's business is closely dependent on governmental regulation. Any changes in regulations and policies could affect PathAI's operations and revenue.
Competition. The digital pathology market is highly competitive and has a large number of players, including Leica Biosystems, Hamamatsu Photonics, Koninklijke Philips N.V., Olympus Corporation, F. Hoffmann-La Roche Ltd. and others. Increased competition in the AI and pathology space could impact PathAI's market position and profitability.