About

The problem

Industrial product data is broken. We're fixing it.

An RFQ arrives as a photo from a job site. A supplier sends 5,000 SKUs in a spreadsheet full of cryptic abbreviations. A customer asks whether a closer fits an 80mm top rail with 15mm reveal. The answer exists somewhere across spec sheets, supplier catalogs, and the heads of your most experienced people. But 70% of that knowledge is undocumented, and the people who hold it are retiring at a rate of 10,000 per day.

Generic AI doesn't help here. It doesn't know the difference between a 1/2" FNPT and a 1/2" MNPT, or that "3000#" means 3000 PSI CWP, or how to apply SPA pricing to a specific contract. Industrial product data requires domain depth that general tools can't deliver.

We build AI applications for exactly this. We read any document format, normalize messy supplier data, check compatibility against real specs, and produce answers with citations back to the source. Our applications learn from your catalogs, your pricing logic, and your expert knowledge. The result: quotes in minutes instead of hours, suppliers onboarded in days instead of months, and product intelligence that scales with your team instead of walking out the door.

Built by experts. For experts.

Our team combines deep AI expertise with real-world experience in industrial commerce. We've felt the pain of managing complex product data firsthand, and we're building the tools we wished we had.

Kyle Harrison

Kyle Harrison

Product leadership at Google building products that serve billions of users. Expertise in scaling complex technical products from conception to global deployment.

Manoj Tiwari

Manoj Tiwari

Google Research leadership advancing AI systems. Published research in machine learning and deep expertise in building and scaling LLM-focused teams and productization.

Andrew March

Andrew March

Expertise in industrial and commercial products with decades of experience across sales, distribution, and operations.

How we work

Domain depth over generic breadth

We don't build general-purpose AI and hope it works for industrial products. We start from the domain: the specs, the catalogs, the pricing logic. Then we build applications that understand it natively.

Move with the industry

We build for where industrial teams actually are and help them get where they need to go. Not a Silicon Valley idea of what their workflow should look like.

Built for experts, not to replace them

Your best people have decades of product knowledge. Our AI captures and scales that expertise so every team member can work at the level of your most experienced specialist.