Ridecell

Ridecell is an asset intelligence and orchestration platform for automotive leasing and finance companies. It connects the systems that surround a leased vehicle fleet, including telematics, ERP, OEM, maintenance, inventory, insurance, CRM and leasing platforms, into a knowledge graph, then applies AI to find cost, delay and utilization problems and act on them. It is for leasing companies, banks and fleet finance operators managing large vehicle portfolios. Five intelligence modules cover the common failure points: Client Intelligence alerts customers to delayed deliveries before they call; Spend Intelligence reviews invoices for overcharges; Supplier Intelligence monitors supplier performance and reallocates work; Asset Intelligence identifies the best point to remarket a vehicle; and Operational Intelligence finds idle vehicles. Maya, the generative AI agent, works on top of the knowledge graph with a multi model engine and can analyze months of work orders by service category, score suppliers, list vehicles stuck in a workflow stage and draft the supplier email, answer driver questions from lease contract terms and turn a plain language request into a dashboard chart, in several languages, with human approval gates before it acts and traceability back to the source data. Deployment comes in three forms: a single tenant Ridecell managed cloud, deployment in the customer's own cloud, or a sovereign option inside the customer's perimeter, on premises or in a DMZ. Pricing is not published; Ridecell sells through demos and quotes. The company states the platform manages more than 500,000 assets across more than 100 connected systems.