PathAI

PathAI is a Pathology AI company founded in 2016 and based in Boston, United States. It has raised $251M in total funding, most recently a Series C in 2021.

PathAI builds AI-powered pathology tools for diagnostic labs and pharmaceutical companies, analyzing digitized tissue slides to detect cancer and grade disease severity. $255M total funding; $165M Series C co-led by D1 Capital and Kaiser Permanente. Partnerships with LabCorp, GSK, and BMS. Revenue model split between diagnostics software and pharma R&D services.

PathAI is the defining company in AI pathology — a subsector that digitizes the last major analog diagnostic modality in medicine — with $255M raised and partnerships with LabCorp and major pharma.

pathai.com Pathology AI

United Statesprivate

At a glance

Total raised

$251M

last round series c

Headcount

201-500

approximate · public range

Headquarters

Boston

United States

Founded

2016

10 years active

Status

Private

Pathology AI

Patents on file

Funding history

Total raised

$251M

Rounds tracked

Latest stage

Series C

Date	Stage	Amount	Valuation	Lead investors
May 19, 2021	Series C	$165M	—	D1 Capital Partners, Kaiser Permanente
Apr 17, 2019	Series B	$75M	—	General Atlantic, General Catalyst

Most recent patents

PathAI, Inc.·2025-08-12
Systems And Methods For Assessing Liver Pathology
US12383191
Abstract
Systems And Methods For Assessing Liver Pathology
US12383191
Abstract In some aspects, the described systems and methods provide for a method for training a deep learning model to assess liver pathology, including accessing annotated liver pathology images associated with a group of patients in one or more randomized controlled clinical trials of nonalcoholic steatohepatitis therapy, each of the annotated liver pathology images including at least one annotation describing one or more tissue characteristic categories for a portion of the image, and training the deep learning model based on the annotated liver pathology images to predict the tissue characteristic categories, selected from a group comprising steatosis, lobular inflammation, hepatocyte ballooning, and fibrosis stage.
View on Google Patents
PathAI, Inc.·2024-12-24
Systems And Methods For Classifying Biomedical Image Data Using A Graph Neural Network
US12175666
Abstract
Systems And Methods For Classifying Biomedical Image Data Using A Graph Neural Network
US12175666
Abstract Techniques for classifying biomedical image data using a graph neural network are disclosed. In one particular embodiment, the techniques may be realized as a method for classifying biomedical image data comprising generating an annotated representation of biomedical image data; identifying a plurality of pixel clusters based on the biomedical image data; constructing a graph based on the plurality of pixel clusters; determining at least one biomedical feature for at least one node of the graph based on the annotated representation of the biomedical image data; and processing a graph neural network to classify the biomedical image data based on the at least one biomedical feature.
View on Google Patents
PathAI, Inc.·2024-08-27
Systems And Methods For Training A Model To Predict Survival Time For A Patient
US12073948
Abstract
Systems And Methods For Training A Model To Predict Survival Time For A Patient
US12073948
Abstract In some aspects, the described systems and methods provide for a method for training a model to predict survival time for a patient. The method includes accessing annotated pathology images associated with a first group of patients in a clinical trial. Each of the annotated pathology images is associated with survival data for a respective patient. Each of the annotated pathology images includes an annotation describing a tissue characteristic category for a portion of the image. Values for one or more features are extracted from each of the annotated pathology images. A model is trained based on the survival data and the extracted values for the features. The trained model is stored on a storage device.
View on Google Patents

PathAI

At a glance

Funding history

In the news

AstraZeneca, Roche to boost digital pathology uptake in APAC and more briefs

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Leadership

Products

AISight Dx

AISight Clinical Trials

AIM Biomarker Quantification Suite

PathAssist Research Tool Suite

Most recent patents

Systems And Methods For Assessing Liver Pathology

Systems And Methods For Assessing Liver Pathology

Systems And Methods For Classifying Biomedical Image Data Using A Graph Neural Network

Systems And Methods For Classifying Biomedical Image Data Using A Graph Neural Network

Systems And Methods For Training A Model To Predict Survival Time For A Patient

Systems And Methods For Training A Model To Predict Survival Time For A Patient

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