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How it works

From scattered public signals to a clear next move

Seven steps turn raw commercialization data into opportunities you can act on.

  1. 01

    Aggregate commercialization signals

    Patents, federal and provincial grants, crowdfunding filings, accelerator cohorts, university licensing, and hiring activity are collected from public sources.

  2. 02

    Place startups on a commercialization journey

    Each company is positioned on nine stages from idea and validation through scale.

  3. 03

    Calculate an explainable Opportunity Score

    A 0–100 score built from weighted, visible factors — never a black box.

  4. 04

    Detect likely service needs

    Stage and signal patterns reveal needs like IP strategy, DFM, certification, or contract manufacturing.

  5. 05

    Recommend next actions

    Clear, specific suggestions on what a company should do next and who can help.

  6. 06

    Match startups with providers

    Providers are matched by specialty, stage fit, sector, and geography.

  7. 07

    Facilitate introductions and referrals

    Consent-based introductions connect founders and providers.

The nine-stage journey

  1. 1. Idea and validation
  2. 2. Intellectual property
  3. 3. Funding and formation
  4. 4. Concept design
  5. 5. Engineering and prototype
  6. 6. Testing and certification
  7. 7. Manufacturing preparation
  8. 8. Launch and early production
  9. 9. Scale

An explainable score

Every factor, weight, and note is visible.

  • Signal momentum30%

    Recent verified patents, grants, campaigns and program awards

  • Stage transition25%

    Evidence the company is moving to its next commercialization stage

  • Funding capacity20%

    Known grants, rounds and crowdfunding

  • Service gap25%

    Needs the company has not yet filled

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