• Back the RNA AI layer of precision medicine.

    Sequencing-based diagnostics is now standard oncology care — and the

    most important information layer is still missing. OneRNA® supplies it.

  • Market Momentum

    +60%

    Sector market value growth for sequencing-in-cancer vs +15% S&P 500 · +35% XBI

    $100B+

    Equity segment with 2025 M&A activity hitting an all-time high, e.g., $20B aquisition of Exact Sciences by Abbott

    $1.5B

    Q1 revenue 4 oncology DNA-seq leaders · +44% YoY - outperforming other sectors

  • Patient stories

    Patient Case 1

    Metastatic thyroid cancer

    OneRNA® identified RET overexpression. The patient enrolled in a Phase II trial of a RET-targeted therapy — now FDA-approved as Retevmo (selpercatinib) — responded, and has remained in remission for 5+ years.

    Patient Case 2

    Folicular Lymphoma

    After rapid recurrence on two standard treatments and no response to two clinical trials, OneRNA® identified two FDA-approved drugs never before combined. On this novel combination, the patient responded and has remained in remission for 2+ years.
  • Traction

    1

    Grants

    Raised $6.5M, 2026 pipeline of $50M (only 5-20% get funded)

    2

    Hospital

    Established relationships and pipeline

    3

    Payor Code

    RNA-seq specific payor code. In network with Medicare and some private payors

    4

    CLIA Validated

    FDA not required

  • How do we compare

    DNA sequencing has demonstrated its clinical value, but missing a very important layer of information. Both types of testing are necessary to uncover all options for a patient and can be billed under separate payor codes

    DNA Panels

    500-geneTypical 500 genes -> binary test

    OneRNA

    20,000 RNA's -> quantitatively

    40% of patients matched to one drug

    Drops to 26% in low mutation tumors

    Almost 100% of patients matched to a drug

    Matching to typically more than one option

    Does not detect

    • Over-Expression
    • Fusions
    • Immune therapy targets
    • Tumor Microenvironment

    Detects

    • Over-expression
    • Fusions
    • Immune therapy targets
    • Tumor Microenvironment
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