Think of this as a smart nervous system for vehicles and mobile assets: sensors and GPS on trucks, trailers, and equipment continuously send data to an AI "brain" that helps dispatchers, safety teams, and operations people run fleets more safely and efficiently.
Reduces accidents, theft, fuel waste, and downtime across transportation and logistics fleets by giving real-time visibility into vehicles and assets, driver behavior, and utilization, and by automating alerts and decisions that are currently handled manually.
Deep domain expertise in fleet and asset management, established installed hardware base (telematics/IoT devices) that is costly to rip-and-replace, long-term enterprise contracts, and accumulated proprietary operational data from fleets across industries that can improve AI models and analytics over time.
Hybrid
Time-Series DB
High (Custom Models/Infra)
High-volume, high-frequency telemetry and sensor data ingestion and storage at scale, combined with the cost and latency of running analytics/ML (and any LLM-based features) in near real time for large fleets.
Early Majority
Positions itself as an "AIoT" (AI + IoT) platform with strong human-in-the-loop workflows and broad asset coverage (vehicles, trailers, equipment), emphasizing safety and operational decision support rather than just GPS tracking or basic telematics.