Autonostix360 offers an edge‑cloud analytics platform that continuously monitors connected vehicle data to deliver early fault detection, Remaining Useful Life (RUL) predictions, and root‑cause analysis for individual vehicles and entire fleets. Its non‑intrusive, AUTOSAR‑ and ASPICE‑compliant plugin provides prescriptive maintenance recommendations, intelligent scheduling, spare‑part planning, and warranty analytics, helping OEMs, Tier‑1 suppliers, and fleet operators reduce downtime and optimize service operations.
Funding
Funding not disclosed
Founders
Product
Problem
Automakers and fleet operators often lack real-time insight into vehicle health, leading to unexpected component failures, costly downtime, and inefficient maintenance planning. Traditional diagnostic tools are typically offline, intrusive, and limited to post‑failure analysis, preventing early intervention.
Solution
Autonostix360 delivers an edge‑cloud analytics platform that ingests connected vehicle data to provide continuous health monitoring at both the individual vehicle and fleet levels. The system applies deep‑engineered prognostic models to predict Remaining Useful Life (RUL) and uses data‑driven root‑cause analysis to pinpoint emerging faults before they cause irreversible damage. Prescriptive analytics generate real‑time maintenance recommendations, enabling proactive service scheduling and spare‑part planning. The platform is delivered as a non‑intrusive, AUTOSAR‑ and ASPICE‑compliant plugin that can be deployed on any diagnostic‑capable ECU, ensuring scalability, security, and alignment with automotive safety and cybersecurity standards.
Target Audience
Primary customers are automotive OEMs, Tier‑1 suppliers, and large fleet operators seeking predictive maintenance and diagnostic capabilities for their vehicle populations.
Features
- Remote vehicle health monitoring using connected data streams for early fault detection
- RUL prediction models that estimate time to failure for critical components
- Root‑cause analytics delivering precise identification of underlying issues
- Prescriptive analytics that provide real‑time maintenance actions based on RUL and root cause
- Fleet analytics including utilization, location tracking, and digital twin creation for each vehicle
- Intelligent maintenance planning with automated scheduling, fault service management, and spare‑part optimization
- Warranty analytics to track and analyze warranty claims across the fleet
- Fully isolated, non‑intrusive plugin software compliant with AUTOSAR, ISO 26262, ISO 27001, WP.29, and other automotive safety standards