One stack, four layers, zero landlords.

Labor times, torque specs, fluid capacities, diagnostic codes, and repair procedures for passenger vehicles from 1955 forward, plus the heavy-equipment and Class 7-8 equivalent. Free to read on the web, available through an API.

This exists because two vendors control automotive repair data and price it like a mortgage payment. Building our own took a long time and was worth every hour of it, because it is now the reason every product above it can include real repair content at no marginal cost.

ShopBase for independent auto repair, HeavyBase for equipment and diesel, Recon Desk for dealer used-car reconditioning. Three products, one spine: the same scheduling board, inspection engine, approval flow, and estimating core.

That shared spine is the only reason a team this size can maintain three vertical products. A fix in the inspection engine ships to all three. A new payment path is written once.

Speech was the expensive one. Per-character text to speech and per-minute transcription look cheap until an AI service writer is answering every call for every shop, at which point somebody else's pricing page becomes your gross margin.

So the speech stack moved onto our own GPU. It now streams the voice that answers a shop's phone and narrates lessons for Cullinan Academy students, and the marginal cost of a conversation is the power bill.

Speedish Automotive is a working European repair shop in Danville, Indiana. BMW, Mercedes-Benz, Audi, Porsche. It has bays, customers, and a service advisor who will tell you exactly what he thinks of your new feature.

Software goes in there before it goes anywhere else. It is the difference between a product built from customer interviews and a product built from Tuesday morning.