ONC.AI, INC.
Machine learning-based radiomics biomarker platform that predicts patient response to PD-(L)1 immunotherapy by analyzing CT imaging combined with proteomic, genomic, and clinical data
- Sector
- Biotech
- Headquarters
- SAN CARLOS, CA
- Founded
- 2020
- Latest Form D
- $6M, Dec 2020
- Total capital
- $9.7M
- Federal grants
- $3.7M
- 3 awards · 2024–2025
- Rank in peer group#10 of 19
- Private capital raised
- $6M
- 1 Form D · last Dec 2020
- 71 months since last filing
- Federal contracts
- None on recordNo federal contract awards found.
- Granted patents
- 2
- 12 pending · first 2023
- Rank in peer group#5 of 19
Capital timeline
Latest events
- Federal grantHealth and Human S · Phase II · Prospective validation of a radiomics-based multi-modal predictive model for metastatic non-small cell lung cancer patients treated with PD-1 immunotherapy$375K
- Federal grantHealth and Human S · Phase II · Deep Learning Serial Radiomics for Improved Cancer Therapy Response Assessment.$1.7M
- Federal grantHealth and Human S · Phase II · Prospective validation of a radiomics-based multi-modal predictive model for metastatic non-small cell lung cancer patients treated with PD-1 immunotherapy$1.6M
- Private capital raisedForm D · SEC · 1st filing$6M
Node area is scaled to amount. Form D reports securities sold, which can differ from an announced round; filings are numbered in the order they were made.
Standing among 19 peers
Line = medianBiotech · Software
- Federal grants#10 · top 53%
- Granted patents#5 · top 26%
Cumulative measures favor older companies. Rankings describe position today, not outcome. Below the median, ranks show as a band rather than a number.
Founders and team
From SEC Form D filings- Akshay NanduriExecutive Officer, DirectorNamed in SEC Form D filings
- Jonathan FlemingDirectorNamed in SEC Form D filings
- Salmaan AhmedExecutive OfficerNamed in SEC Form D filings
What it has protected
USPTO · 2 granted of 14- PendingReducing The Impact Of Varying Ct Convolution Kernels On Machine Learning AlgorithmsUSPTOApplication 19388599
- PendingPredictive Modeling Of Therapeutic Agent Response Based On A Body Composition Anatomical Segmentation Of A Ct ScanUSPTOApplication 18885154
- PendingAutomated Segmentation Of A Ct Scan For Predictive Modeling Of Therapeutic Agent Response Using Deep Learning AnalysisUSPTOApplication 18657080
Show all 14 patent records
- Reducing The Impact Of Varying Ct Convolution Kernels On Machine Learning AlgorithmsMay 14, 2026 · Application 19388599Pending
- Predictive Modeling Of Therapeutic Agent Response Based On A Body Composition Anatomical Segmentation Of A Ct ScanMar 19, 2026 · Application 18885154Pending
- Automated Segmentation Of A Ct Scan For Predictive Modeling Of Therapeutic Agent Response Using Deep Learning AnalysisNov 13, 2025 · Application 18657080Pending
- Predicting Responses To Biologic Therapies Using Deep Learning Analysis Of Imaging And Clinical DataNov 21, 2024 · Application 18787858Pending
- Predictive Modeling Of Therapeutic Agent Response Using Deep Learning Analysis Of Pre-treatment And Intra-treatment Serial ImagingNov 14, 2024 · Application 18657383Pending
- Predicting Response To Immunotherapy Treatment Using Deep Learning Analysis Of Imaging And Clinical DataJul 30, 2024 · US 12,051,508Granted
- Predicting Response To Immunotherapy Treatment Using Deep Learning Analysis Of Imaging And Clinical DataJan 31, 2023 · US 11,568,992Granted
- Predictive Modeling Of Therapeutic Agent Response Based On A Body Composition Anatomical Segmentation Of A Ct ScanApplication PCTUS2025044818Pending
- Reducing The Impact Of Varying Ct Convolution Kernels On Machine Learning AlgorithmsApplication PCTUS2025055429Pending
- Predictive Modeling Of Therapeutic Agent Response Using Deep Learning Analysis Of Pre-treatment And Intra-treatment Serial ImagingApplication 63465460Pending
- Predicting Response To Immunotherapy Treatment Using Deep Learning Analysis Of Imaging And Clinical DataApplication PCTUS2021042979Pending
- Reducing The Impact Of Varying Ct Convolution Kernels On Machine Learning AlgorithmsApplication 63720284Pending
- Predicting Response To Immunotherapy Treatment Using Deep Learning Analysis Of Imaging And Clinical DataApplication 63056393Pending
- Predictive Modeling Of Therapeutic Agent Response Using Deep Learning Analysis Of Pre-treatment And Intra-treatment Serial ImagingApplication PCTUS2024028373Pending
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Regulatory activity · Biotech
- New Animal Drugs; Approval of New Animal Drug Applications; Withdrawal of Approval of New Animal Drug Application; Change of SponsorFood and Drug Administration
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- Medical Devices; Anesthesiology Devices; Classification of the Monitor for Opioid Induced Impairment of OxygenationFood and Drug Administration
- Medical Devices; Orthopedic Devices; Classification of the Medial Knee Implanted Shock AbsorberFood and Drug Administration
- Medical Devices; Neurological Devices; Classification of the External Lower Extremity Nerve Stimulator for Restless Legs SyndromeFood and Drug Administration
- Medical Devices; General Hospital and Personal Use Devices; Classification of the Infant Supine Sleep SystemFood and Drug Administration
Rules are matched to sector, not to company. Recent activity in a sector is context rather than a signal about this business — until rules are matched to what a company actually builds, the section is shown as context and nothing more.
Sources
Federal grants from SBIR/STTR, NIH, NSF and DoD records. Federal contracts from USAspending.gov. Private capital from SEC Form D. Patents from USPTO. Publications from OpenAlex. Regulatory activity from the Federal Register. Press matched on company name.
How to read this page
Figures show associations in public records, not causes or predictions. Nothing here is investment advice. An em-dash means no record was found under this company's name, not that none exists.
Data freshness
SEC Form D filings through . SBIR and STTR awards through .