Own the identification moment. Own the transaction.
PartsGraph transforms manufacturing BOMs into living, commerce-ready catalogs—and captures demand at the point of identification. For any OEM. Any equipment category. Any channel.
Manufacturing builds products. The aftermarket services them. But the infrastructure to connect these worlds doesn't exist—and everyone pays the price.
Parts catalogs are 6 months late and wrong the day they arrive. Engineering changes, supersessions, and recalls get lost in translation.
Configuration complexity means lookup rarely returns confident results. Counter staff default to phone calls, tribal knowledge, and guesswork.
When a customer can't complete their order, they go somewhere else. Miss one part identification, lose the entire transaction.
OEMs are blind to what's being searched, what's being compared, and what's being lost to aftermarket. They find out 90 days later in aggregate reports.
The best parts knowledge lives in people's heads. When experienced staff retire, decades of identification expertise walks out the door.
Fleets and dealers service equipment from multiple manufacturers. Each OEM has different systems, different formats, different workflows.
PLM vendors stop at the factory door. Catalog publishers need finished input. Distributors benefit from friction. OEMs see P&S as secondary.
"When a customer can't find a part in their order, you don't just lose the part sale, you lose the whole truck sale. Because they'll go where they can complete the whole order."— Tate Baranyi, Wabash @ HTI
The problem is universal. The architecture is OEM-agnostic. We're starting with commercial vehicles—and building for every heavy equipment vertical.
PartsGraph combines demand capture with supply infrastructure—creating a flywheel that gets smarter with every transaction.
Convert uncertainty into confident purchase
Multi-modal identification engine. Photo, symptom description, or conversational query—AI resolves to orderable parts with confidence scores and fitment validation.
Transform static BOMs into living catalogs
Automated mBOM-to-sBOM translation. Ingest engineering data, classify serviceable parts, propagate supersessions—and expose via API to any downstream system.
API-first design. OEM-agnostic data model. Enterprise integration patterns. The infrastructure to be the Stripe for parts data.
Wabash is our anchor customer and strategic partner through UP.Labs. They give us the data access, channel relationships, and real-world validation to prove the model—before expanding across equipment categories.
Strategic access to the #1 trailer OEM: engineering data, dealer network, and fleet relationships.
"Today we source 55% of our own parts internally. I could get to 75 or 80% with better identification. That's a 20-25 point gap."
"It's taking these basic building blocks and putting them under one pane of glass and making it enterprise-friendly. It's a major gap today in the industry."
We're building the parts intelligence infrastructure for heavy equipment. Join our early partner program and help shape the platform.