Clairity Breast
FDA-authorized AI platform predicting five-year breast cancer risk from screening mammograms
Company profile
Company profile
Clairity is a Boston-based medical technology company pioneering AI-powered breast cancer risk assessment through its flagship product, Clairity Breast (authorized under the name Allix5). Founded in 2020 by Dr. Connie Lehman, a Harvard Medical School professor and Yale-trained physician-scientist, the company has developed the first FDA-authorized, image-only AI platform that estimates a woman's five-year risk of developing breast cancer from a routine mammogram. The company's mission is to shift the standard of care for cancer from reactive diagnosis to proactive prevention. Clairity's technology unlocks new insights from radiological imaging data, accurately identifying individuals at highest risk of developing cancer regardless of race, ethnicity, or gender. The AI model was trained on millions of images and validated across more than 77,000 mammograms from five geographically distinct screening centers serving diverse patient populations. Clairity Breast complements existing clinical workflows and addresses widespread shortfalls in breast cancer risk assessment at scale. The platform enables clinicians to personalize care plans for each patient and evolve those plans over time, monitoring lifestyle choices, health changes, and family history. In February 2024, Beth Israel Deaconess Medical Center became the first medical center in the United States to offer this technology clinically. The company has raised $43 million in Series B funding and is backed by Santé Ventures and ACE Global Equity.
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01 · Operating footprint
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
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Company milestones
First clinical patient received Clairity Breast score at Beth Israel Deaconess Medical Center in February 2024. Raised $43 million Series B financing. Incorporated into NCCN Guidelines for breast cancer screening with AI-based risk assessment beginning at age 35. Featured on NBC's TODAY Show. Dr. Connie Lehman named to TIME's 2026 TIME100 Health List and appointed CEO.
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02 · Flagship portfolio
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FDA-authorized AI platform predicting five-year breast cancer risk from screening mammograms
03 · Research intelligence
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Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Journal of the American College of Radiology : JACR · Sep 1, 2024
Clinical validation
NCT05513963 · Mentioned · UNKNOWN
Regulatory
DEN240047 · De Novo · May 30, 2025
04 · Company-reported outcomes
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Predicts a woman's five-year future risk of developing breast cancer using only existing screening mammogram
AI-detected signals can change over time, producing a dynamic risk score that evolves and offers insight into long-term risk
First medical center in the country to offer AI-powered breast cancer risk assessment using routine mammograms
First clinical patient received Clairity Breast cancer risk score in February 2024, marking historic milestone in women's health
Implementation of Clairity Breast for breast cancer risk assessment
Real-world implementation of Clairity Breast for breast cancer risk prediction
05 · Leadership
Leadership profiles and professional links from the current Company record.
Connie Lehman
Founder and CEO
Jenna Barton
Vice President of Finance
Michael Kearney
Vice President of Market Access
Ahmet Cakir
Director of Engineering
Nick Kortis
Director of Clinical Implementations
Joe Kiani
Chairman of the Board
Kevin Lalande
Board of Directors
Gabriella Antici
Board of Directors
06 · Company updates
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07 · HAIC coverage
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08 · Official presence
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09 · Market pathway
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Market context
Companies using AI to analyze genomic, proteomic, metabolomic, or multi-omics data to provide personalized treatment recommendations, identify genetic risks, or develop targeted therapies. Includes genomic sequencing platforms with AI analysis, preventive medicine based on genetic risk assessment, and longevity care based on molecular and genetic data.
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