Think of modern heavy construction equipment as turning into semi-autonomous “smart fleets”: each machine has sensors like a fitness tracker, navigation like a self-driving car, and a digital foreman in the cloud that coordinates where they go, how they work, and when they need maintenance.
Reduces fuel waste, unplanned downtime, and on-site accidents while improving project timelines and equipment utilization by using AI, automation, and telematics data to optimize how heavy machinery is operated and maintained.
Integration of proprietary telematics data from large equipment fleets and long-term OEM/contractor relationships, embedded in daily construction and maintenance workflows.
Hybrid
Time-Series DB
High (Custom Models/Infra)
Real-time ingestion and processing of high-volume sensor and video streams from distributed fleets, plus connectivity and latency constraints on remote job sites.
Early Majority
The combination of automation, AI analytics, and telematics in a heavy-construction context—tightly coupled to earthmoving and roadbuilding workflows—goes beyond simple GPS tracking by closing the loop from sensing, to optimization, to semi-autonomous machine control.