Newsroom
Uptown artificial intelligence company Shelfmark raises $3.5 million and now plans to grow
The Post-Gazette on the round, the Uptown roots and what comes next.
Shelfmark raised $3.5M to scale physical AI and hire in Pittsburgh
Technical.ly on the raise, the physical-AI thesis and the Pittsburgh hiring plan.
AI startup Shelfmark raises $3.5M seed round to expand computer vision offerings
The Business Times on the round and where the computer-vision work goes next.
Shelfmark Raises $3.5 Million Seed Round to Advance AI for Continuous-Flow Manufacturing
citybiz on the round, the investor syndicate and where the capital goes.
Shelfmark will share some big news soon.
A short note from Pat ahead of an announcement we have been heads-down on. Read it on LinkedIn…
A football field long roll of webbing, inspected in 6 minutes.
High performance webbing is a 4.7 billion dollar industry with a quality and speed bottleneck. To meet the standard, manufacturers have been unrolling those rolls by hand, foot by foot.
There are over 1,800 truss manufacturing sites in the U.S., and they all fight the same problem.
High-mix production with zero tolerance for mistakes. One plate, one misalignment, one bad joint, and the cost is not small. Why our inspection system sits at the end of the line, on a display right next to the operator.
20+ warm leads from a room full of print executives, and not one of them was there for the AI.
They recognized the tradeoff they fight every day: speed versus quality. These leads realize it does not need to be a tradeoff anymore. The real unlock is not just catching defects, it is knowing what caused them.
Pittsburgh has always been a city that understands making things.
Costs are up. Labor is tight. Margins are shrinking. But the expectation for quality never goes away. Why the next generation of manufacturing technology comes from teams willing to get close to the floor.
Most startups start with a pitch deck. Ours started with a $5,000 check on a factory floor.
We were trying to sell AI inventory cameras. The plant manager an hour outside Pittsburgh had a different question: can you point those cameras at my printers and tell me when something goes wrong?