Revv, a software-as-a-service startup, has launched its automotive repair diagnostics platform underpinned by a large language model (LLM), according to a press release. Revv’s platform leverages AI to help service technicians easily diagnose hard-to-identify issues with a car's advanced driver assistance systems (ADAS), boosting shop revenue and ensuring safety for drivers.
According to Revv’s data, 60% of repair estimates by auto repair shops don’t include ADAS repairs, meaning essential fixes aren’t being made. This makes it a potential safety hazard for customers and a missed revenue-generating opportunity for shops.
“ADAS is an invisible problem. When there’s no light on, mechanics and customers assume there’s no problem,” said Adi Bathla, CEO and co-founder of Revv. “There are over 500,000 unique ADAS procedure combinations based just on variables like make, model, trim package and model year. Multiply that by the thousands of distinct original equipment manufacturer mandated repair procedures for each make and model. Without Revv, it’s too time-intensive for mechanics to sift through that amount of information.”
To properly diagnose problems across these features without automation, repair shops would have to manually gather ADAS operations and procedures from fragmented sources like car manufacturers, aftermarket aggregators and OEM procedures. This has historically been a time-consuming and costly process.
Revv’s software, RevvADAS, transforms extensive vehicle-specific documentation into easily searchable databases and empowers repair shops throughout the country with actionable insights, unlocking previously untapped ROI for shops and ensuring safety for customers.
