Relativix provides AI‑driven vehicle health intelligence that links fleet operators and repair shops through a shared diagnostic layer. By delivering predictive maintenance insights, it enables fleets to schedule upkeep before failures and helps shops diagnose issues before a vehicle reaches the bay, boosting first‑time‑fix rates and technician productivity. The platform’s agentic AI continuously analyzes real‑time vehicle data to reduce unexpected breakdowns and improve overall asset utilization.
Funding
Funding not disclosed
Founders
Product
Problem
Fleet operators experience unexpected breakdowns and service disruptions, while repair shops rely on static, outdated diagnostic data that hampers efficient vehicle servicing and reduces first‑time fix rates.
Solution
Relativix delivers AI‑driven predictive maintenance by aggregating real‑time vehicle health data into a shared intelligence layer accessible to both fleet managers and repair shops. The platform uses agentic AI diagnostics to forecast component failures, allowing operators to schedule maintenance before breakdowns occur. Repair shops receive complete diagnostic information prior to vehicle arrival, reducing manual troubleshooting and improving repair accuracy. By aligning maintenance planning with predictive insights, Relativix enhances vehicle availability, optimizes service scheduling, and boosts technician productivity across the fleet‑service ecosystem.
Target Audience
Primary customers are fleet operators managing large vehicle inventories and independent or dealer repair shops that service those fleets.
Features
- Real‑time health telemetry collection from vehicle sensors integrated into a unified data platform
- Agentic AI models that predict component failures and recommend optimal service windows
- Pre‑bay diagnostic reports delivered to repair shops, enabling issue identification before vehicle intake
- Workflow optimization tools for scheduling maintenance and coordinating fleet‑shop interactions
- Dashboard analytics for fleet operators to monitor asset utilization, downtime risk, and maintenance costs
- API integration with existing fleet management and shop management systems for seamless data exchange