Fullbay Buys Pitstop to Push Predictive Maintenance Into Shops
Fullbay is folding Pitstop AI into its repair-shop platform, using data from more than 5,000 shops to help fleets spot failures before they become roadside downtime.
Fullbay Adds Pitstop's Predictive Layer
Fullbay has acquired Pitstop AI, giving the repair-shop software provider a predictive-maintenance engine built around vehicle health data, fault patterns, and fleet intelligence.
The deal, announced March 31, 2026, brings Pitstop's AI tools into Fullbay's platform for heavy-duty repair shops and commercial fleets. The core pitch is straightforward: use repair and vehicle data to flag likely failures before they strand equipment, interrupt routes, or push a shop into emergency work.
Why the Data Matters
Fullbay said Pitstop will be able to work from more than 10 years of repair data across more than 5,000 shops. That gives the combined platform a large base of service history to connect fault codes, parts demand, prior repairs, and unit health patterns.
For fleets, the useful part is less the AI label and more the workflow around it. Fullbay says the integration will support predictive maintenance, real-time diagnostics, fault-code management, automated fleet communication, service-request generation, unit health reporting, and parts-demand forecasting.
From Reactive Repairs to Earlier Decisions
Pitstop's system is designed to identify issues weeks before a breakdown and, according to the company, can reach more than 94% accuracy in spotting potential failures. That number will matter only if fleets and shops can turn alerts into scheduled work without creating another dashboard nobody has time to watch.
The acquisition also gives Fullbay a broader product story at a moment when maintenance teams are trying to protect uptime with fewer surprises. For fleet managers, the question is practical: whether predictive alerts can be trusted enough to change shop schedules, parts stocking, and replacement decisions before a truck is already down.
