Automotive finance margins are tightening under the weight of an unpredictable electric vehicle market. Seeking to extract immediate financial value from static customer data, contract management software provider Sofico purchased US-based automotive artificial intelligence startup Vinli on Tuesday. The acquisition integrates automated decision-making and actionable intelligence directly into Sofico’s core mobility products.
The transaction brings two of Vinli’s primary data platforms under the Sofico corporate structure. The first, Velona, identifies specific actions fleet operators and leasing companies can take to drive revenue or cut costs while keeping human oversight intact. The second, ERA, operates as a connected vehicle data platform. Both systems will be layered onto Sofico Miles, the company’s flagship management software.
Auto finance companies possess enormous data lakes regarding driver behavior and contract lifecycles, but they rarely automate financial interventions based on that information. Sofico CEO Wim De Bruyne stated the acquisition supplies clients with the “intelligence layer” required to turn untapped contract and vehicle data into actionable decisions. According to a Tuesday report confirming the official acquisition and the integration of the Velona and ERA AI platforms, Vinli CEO Matt Himelfarb said their technology “turns operational signals into prioritized actions with the dollars already attached.”
How Agentic AI Alters the Auto Leasing Business Model
Traditional automotive leasing software functions as a passive ledger, tracking depreciation, contract dates, and maintenance schedules. By integrating agentic AI, Sofico is changing how fleet managers interact with their own assets. Instead of waiting for a lease to expire or a maintenance threshold to trigger an alert, an agentic system actively calculates the financial outcome of intervening early.
If a specific EV model shows accelerated battery degradation, the software can automatically suggest restructuring the lease terms or selling the asset before the depreciation hits the balance sheet. This shifts contract management from administrative record-keeping to active asset trading. For fleet operators dealing with thousands of vehicles, this intelligence layer automates the discovery of isolated profit margins that human analysts typically miss.