Evidence Before Equity: A TRL 3–7 Blueprint for AI-SERS PFAS Screening
A science-first case study that turns nanomaterial sensing and AI analytics into a verifiable, fundable, and commercially deployable product.
How Much Time This Saves
Most deep-tech ventures spend 7–10 years reaching market entry because they repeat proof-of-concept cycles, face late regulatory pushback, and enter investor talks too early. By anchoring each TRL step to pre-product revenues and non-dilutive funding, this structured roadmap shortens that journey by 3–5 years.
This blueprint compresses the path to 24–36 months from TRL 3 to TRL 7 by defining evidence gates (limits of detection, reproducibility, verification, unit economics) and aligning them with funding inflection points. The result: faster pilots, earlier partner validation, and negotiations that start on stronger terms.
What You’ll Get
- Technology Profile: Literature-backed overview of AI-enhanced SERS and its reproducibility solutions.
- Market Map & Sizing: Triangulated market data with blended CAGR and opportunity sizing.
- TRL 3–7 Roadmap: Dual-track plan with scientific and business milestones.
- Capital Architecture Matrix: Visual guide to grants, early revenues, and equity timing.
- Decision Tools: Notion-ready decision tree for Track A (transaction) vs. Track B (scale).
- Endgame Models: Analysis of two exits — M&A at TRL 7 or scaling with recurring revenues.
Compared to one-size-fits-all startup programs, this case study accelerates time-to-market by 30–50%.
Raman-paved Next Wave of Portable, Ultra-Sensitive Sensors
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