Kintan Brahmbhatt
Founder & CEO
Ridecell
Ridecell offers an AI‑driven orchestration platform that consolidates data from over 100 disconnected systems into a unified knowledge graph within hours, giving auto‑leasing and fleet finance companies a single source of truth for their assets. Its five intelligence modules and autonomous AI agents continuously monitor operations, finance, sales, and supplier interactions to detect idle vehicles, reconcile invoices, and recommend optimal keep‑sell‑redeploy actions, enabling real‑time, executable decisions across large vehicle fleets.
- Artificial Intelligence
- AI Agents
- Automotive Technology
- Enterprise Software
Updated 5 months ago
Funding
Funding not disclosed
+5Funding rounds are not available yet.
Founders
Ludovic Copéré
Co‑Founder
Product
Problem
Auto‑leasing and fleet finance companies operate with dozens of disconnected systems—telematics, ERP, OEM portals, maintenance, invoicing, insurance—making it difficult to obtain a unified view of assets, costs, and performance. This fragmentation leads to idle vehicles, inefficient spend management, and missed opportunities to optimize remarketing or redeployment.
Solution
Ridecell provides an AI‑driven orchestration platform that ingests data from over 100 siloed sources and harmonizes it into a single knowledge graph within hours. Five intelligence modules, each powered by specialized AI agents, continuously monitor fleet operations, finance, sales, and supplier interactions, automatically detecting idle assets, reconciling invoices, and recommending optimal keep‑sell‑redeploy decisions. The platform delivers actionable recommendations—not just dashboards—so users can execute decisions directly, reducing idle‑vehicle costs and improving asset utilization. Integrated voice agents and smart search enable rapid supplier communication and instant asset insights, while the system scales to manage hundreds of thousands of vehicles across multiple fleets.
Target Audience
Primary customers are vehicle leasing firms, fleet finance providers, and large corporate fleets that need end‑to‑end visibility and automated decision‑making across their asset portfolios.
Features
- Data Harmonization layer that maps and unifies data from 100+ disparate systems in hours
- Five AI intelligence modules with autonomous agents for operations, finance, sales, support, and client engagement
- Real‑time idle‑vehicle detection that correlates telematics, maintenance, and logistics to identify root causes
- Automated invoice reconciliation against master service agreements using AI validation and voice‑agent supplier outreach
- Predictive remarketing engine that tracks mileage, residual value, and market demand to suggest optimal sell or redeploy timing
- Smart Search and knowledge‑graph powered asset summaries for instant, context‑rich insights
- API connectivity to existing enterprise tools, enabling seamless integration without manual data pipelines