$293 million.
That’s how much the Department of Energy just put on the table for AI-driven science and energy projects under the Genesis Mission. Phase I awards run $500K–$750K. Phase II goes up to $15 million. Applications are due April 28, 2026.
Most of the attention is going to quantum computing and biotech. But buried in the challenge areas is “advanced manufacturing” — and that’s where industrial AI gets interesting.
The DOE isn’t funding chatbots. They’re funding systems that can automate the kind of engineering work that currently takes a senior process engineer three weeks to do manually. Standards gap analysis. Compliance documentation. Equipment inspection workflows that haven’t changed since the 1990s.
Porritt Inc. is competing for Phase I funding with NORMEX Standards AI — a tool that automates RAGAGEP gap analysis from 3–4 weeks down to 3–5 days. The DOE wants to see AI that “offloads non-research tasks so scientists can focus on discovery.” That’s exactly what NORMEX does for engineers.
The 24 original MOU signers include Google, Microsoft, NVIDIA, and AWS. But Phase I is designed for small teams. The real competition isn’t the tech giants — it’s the 467 organizations on the Partnership Exchange who think AI means a general-purpose chatbot with a science skin.
Domain-specific AI built by people who’ve actually walked refinery units is a different product entirely.
What’s the biggest engineering bottleneck at your facility that AI could realistically solve in 2026?