EcoPulse

Manufacturers face mounting pressure from tightening global PFAS regulations (EPA, state-level rules, EU REACH/PFAS restrictions), downstream customers demanding PFAS declarations before they'll buy, and fast-escalating litigation exposure: 3M's ~$10B settlement and DuPont/Chemours/Corteva's $2B New Jersey settlement are recent examples. Today's response relies on manual document review, consultants, ad hoc supplier outreach, and lab testing: slow (30–60 minutes per material), expensive, and unreliable at scale. PFAS is the most visible instance of a much bigger problem. Manufacturers manage a growing list of high-concern chemicals such as phthalates/plasticizers, REACH SVHC/SCIP substances, each of which is governed by its own patchwork of regulation, with no unified way to track risk across a global supply chain.

PFAS AI™ ingests material and supplier data through manual entry, CSV/Excel, or ERP integration, and runs it through AI models trained on a proprietary PFAS knowledge base, product documentation, and scientific literature. It returns a PFAS risk classification with cited evidence, routes findings through one-click expert approval, automates targeted supplier outreach, and generates reports and risk maps — compressing a process that used to take specialist teams weeks into a workflow measured in seconds (<30 sec per material vs. 60+ min manually, 90% AI precision, 97% evidence-retrieval rate). Two core technologies are covered by a provisional patent. PFAS is our starting point, not our ceiling: the same material- and supplier-intelligence engine is built to expand into adjacent chemical risk categories (phthalates/plasticizers, REACH SVHC/SCIP), growing toward a single Chemical Risk and Product Compliance Intelligence platform for global manufacturers.

Revenue-generating since 2025 with fortune 500/1000 companies and EHS software platform providers. Backed by ATX Venture Partners, Sputnik ATX, and EFC; portfolio company of Capital Factory.

• 
  FeaturedPFAS AI closes the PFAS chemicals blind spot in global manufacturing

  Innovation News Network · Jan 12, 2026

  As PFAS scrutiny intensifies worldwide, EcoPulse explains why manufacturers need better visibility and AI-driven insight to manage PFAS risk.

• 
  FeaturedAI-Powered PFAS Risk Intelligence | Benchmark Gensuite

  info.benchmarkgensuite.com

  Watch the session to see how Benchmark Gensuite and EcoPulse use AI-supported analysis to assess PFAS risk, strengthen evidence, and prioritize follow-up.

• 
  #StartupsEverywhere: Austin, Texas &mdash; ENGINE

  ENGINE

  Austin-based startup EcoPulse uses AI to help large manufacturers manage complex supply chain risks related to Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS), or “forever chemicals,” and compliance. We sat down with founder and CEO Jenny Yu to learn about her fundraising journey, the role of A