How TrikTraks intelligence supports the platform.
TrikTraks uses distributed intelligence to turn raw fleet and vehicle data into operational context. It is not a separate product you buy — it is the layer that helps FleetOps stay ahead of problems and helps ASSIST decide what to do next.
Three coordinated subsystems
Each plays a different role in turning signals into decisions.
Pattern recognition
Looks across historical and current fleet data to recognize trends — recurring maintenance issues, route patterns, and operational anomalies.
Distributed inference
Runs lightweight reasoning closer to the vehicle or device, so time-sensitive signals — a fault, a sudden change — can be evaluated without waiting on a round trip.
Shared context
Moves the resulting context between systems, so what one part of the platform learns is available to the rest — including FleetOps and ASSIST.
From signal to decision
A simplified view of how intelligence moves through the platform.
How this supports FleetOps and ASSIST
Intelligence is the layer underneath — the products are where it becomes useful.
Predictive signals in FleetOps
Recognized patterns — like a vehicle trending toward a maintenance issue — surface inside FleetOps before they become an unplanned outage.
Context for ASSIST workflows
When ASSIST evaluates an operational event, it draws on this same shared context to decide what should happen next — and whether a policy or approval applies.
See where this shows up day to day.
Explore the products that put this intelligence to work.