LMG has teamed up with automotive data intelligence platform AutoGrab as its exclusive provider for automotive data and valuations in an effort to increase broker capabilities and improve loan accuracy as demand for auto finance and car loans continues to gain traction across Australia.
"Accurate vehicle data is critical to helping brokers write asset finance business," said Tim Wells, head of operations, asset at LMG. "AutoGrab’s combination of on-demand valuations, automotive AI and integrated [Personal Property Securities Register] capability enables faster decisions and stronger loan structures for our brokers and their customers."
AutoGrab uses machine learning models to assess both current and future vehicle values, calculate how vehicles depreciate over time and assign confidence scores so loans can be approved quickly. The Melbourne-based firm analyses roughly 700,000 vehicles listed for sale at any given time, drawing data from major marketplaces. Through its partnership with automotive data company JATO, AutoGrab can also identify cars down to the exact model, version and features, which helps reduce errors.
The tie-up with LMG gives the aggregator's network of more than 6,000 brokers access to AutoGrab’s suite of vehicle intelligence and analytics tools, including an asset catalogue, valuations, VIN and registration lookups and PPSR searches.
"This partnership ensures LMG brokers have access to accurate, on-demand vehicle valuations based on automotive-specific data," said Ross Perry, chief revenue officer at AutoGrab. "By combining market intelligence, VIN-level identification and PPSR checks through a single platform, we are making asset finance processes simpler and more scalable for brokers and lenders."
The partnership comes amid the increasing use of AI and automated systems in Australia's asset finance sector, particularly as brokers look to streamline approvals and improve risk assessment in a competitive lending environment. By integrating real-time vehicle data, machine learning valuations, and compliance checks into a single platform, the collaboration aims to make loan processing faster, more accurate, and less prone to human error.
