Onc.AI
Healthcare Software · California, United States · 1-10 Employees
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Overview
Headquarters
San Francisco, California, United StatesWebsite
www.onc.aiRevenue
<$5 MillionIndustry
ZI Rank: 1
Signal Type
Dec
Jan
Feb
Mar
Apr
May
ZI Rank
2
2
1
2
1
1
About Onc.AI
Through the use of a rapidly growing real-world dataset that powers multimodal AI predictions, the company is building a pipeline of physician-centered products to fulfill the potential of precision oncology. The company is a team of entrepreneurs, operators and scientists with deep expertise in oncology, predictive analytics, computer vision, medical imaging, enterprise software and AI/ML.Explore more
Onc.AI Org Chart
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Onc.AI is experiencing very low activity levels compared to other companies in the Software sector.
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Onc.AI financials insights
Gather financial insights about Onc.AI, including details on funding rounds, investors, total funding, and acquisitions, to gain a comprehensive understanding of their financial strategy.
2020
Unspecified
$6M
2023
Series A
$25M
Onc.AI Tech Stack
A closer look at the technologies used by Onc.AI
Most Recent Scoops
Person-Based
Funding
Project
Spending/Investment, Funding
Event
Product Marketing, Events, Training, Medical Research, Field /Outside Sales, Clinical Operations, Field Marketing, Healthcare Technology
Funding
New Hire
Executive Move
Executive Moves, New Hire
Onc.AI News & Media
Onc.AI Announces Presentation of Breakthrough-Designated AI Model Evaluated in Clinical Trial Data at AACR 2025
CHICAGO--(BUSINESS WIRE)--Onc.AI, a digital health company developing advanced AI-driven clinical management solutions for oncology, today announced that findings from a recent collaboration with global biopharma company GSK using Onc.AI’s FDA breakthrough-designated Serial CTRS AI model will be presented at the 2025 American Association for Cancer Research (AACR) Annual Meeting. The study externally evaluated Serial CTRS in GSK’s GARNET Phase I clinical trial (NCT02715284) Cohort E, that enrolOnc.AI Awarded FDA Breakthrough Device Designation for Serial CT Response Score Deep Learning Model
SAN CARLOS, Calif. & WATERLOO, Ontario--(BUSINESS WIRE)--Onc.AI, a digital health company developing AI-driven oncology clinical management solutions using Deep Learning imaging AI, today announced that the U.S. Food and Drug Administration (FDA) has awarded Breakthrough Device Designation for its “Serial CTRS” (Serial CT Response Score) AI model. Serial CTRS is an artificial intelligence (AI)-based prognostic tool that uses deep learning to analyze CT scans and stratify patients into high- orOnc.AI Serial Imaging Response Score Outperforms Traditional Methods for Early Assessment of NSCLC Immunotherapy Outcomes
SAN CARLOS, Calif. & WATERLOO, Ontario--(BUSINESS WIRE)--Onc.AI, a digital health company developing AI-driven oncology clinical management solutions, announced that results from a study evaluating the use of serial imaging in advanced non-small cell lung cancer (NSCLC) will be presented at the upcoming Society for Immunotherapy of Cancer (SITC) annual meeting. The multi-institutional study demonstrated improved prediction of overall survival for patients receiving immunotherapy compared to traOnc.AI Awarded $2 Million National Cancer Institute Grant to Advance AI-based Clinical Decision Support for Metastatic NSCLC
SAN CARLOS, Calif. & WATERLOO, Ontario--(BUSINESS WIRE)--Onc.AI, a digital health company developing AI-driven oncology clinical management solutions, today announced it has been awarded a $2 million Small Business Innovation Research (SBIR) grant from the National Cancer Institute (NCI). This grant will support the further development and clinical validation of Onc.AI’s advanced imaging-AI software for non-small cell lung cancer (NSCLC) clinical decision-making. The NCI’s SBIR program seeks to
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Through the use of a rapidly growing real-world dataset that powers multimodal AI predictions, the company is building a pipeline of physician-centered products to fulfill the potential of precision oncology. The company is a team of entrepreneurs, operators and scientists with deep expertise in oncology, predictive analytics, computer vision, medi... Read More
