Intangles offers an AI‑driven fleet management platform that creates a digital twin of each vehicle using data from its OBD port. Its physics‑based machine‑learning models analyze over 450 real‑time signals to predict component‑level failures with up to 95% accuracy, providing actionable alerts, maintenance scheduling, fuel and emissions analytics, and live location tracking for commercial fleets.
Funding
$30M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1OAVFounders
Product
Problem
Fleet operators lack real-time visibility into vehicle health, leading to unexpected breakdowns, inefficient maintenance schedules, and higher fuel and emissions costs. Traditional monitoring relies on manual inspections and disparate data sources, making it difficult to predict failures or optimize performance across large, diverse fleets.
Solution
Intangles provides an AI-driven fleet management platform that creates a digital twin of each vehicle using data from the on‑board diagnostic (OBD) port. Proprietary physics‑based machine‑learning models analyze over 450 real‑time signals and billions of daily sensor points to predict component‑level failures with up to 95% accuracy. The system delivers actionable insights on engine, after‑treatment, brake, battery, alternator, and air‑intake health, enabling proactive maintenance, reduced downtime, and fuel savings. Integrated hardware, cloud analytics, and a unified dashboard give operators continuous location tracking, driving‑behavior monitoring, fuel consumption analysis, and emissions (DEF) reporting. By automating alerts and maintenance workflows, Intangles helps fleets improve safety, efficiency, and sustainability without requiring extensive manual data handling.
Target Audience
Primary customers are commercial fleet operators in trucking, transit, construction, mining, oil & gas, and other asset‑intensive industries that manage large numbers of vehicles and require predictive maintenance and efficiency optimization.
Features
- Plug‑and‑play hardware interface that connects to any vehicle’s OBD port, eliminating retrofits
- Digital twin creation for each asset, continuously updated with real‑time sensor streams
- Physics‑based AI models trained on 60 TB of data from 250 k+ vehicles, delivering ~95% prediction accuracy
- Predictive health monitoring for engine, after‑treatment, brakes, battery, alternator, and air intake systems
- Real‑time driving‑behavior analytics to enhance safety and reduce wear
- Precise fuel consumption tracking and DEF (diesel exhaust fluid) analysis
- Live location tracking and geofencing with alerts for unauthorized movement
- Integrated operations dashboard with automated maintenance scheduling and API access for existing fleet management tools