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Enterprise AI for fleet and logisticsSafer drivers. Healthier fleets.
Vigil watches every driver. Teammates predict failures and optimise routes. Controllers approve every stand-down.
The challenge
What's in the way
Driver fatigue
Drowsiness causes incidents that a camera could have flagged seconds earlier.
Unplanned downtime
Telematics data predicts failures, but nobody acts on it in time.
Fuel and route waste
Routes, loads and schedules are planned once and rarely re-optimised.
Focus use cases
What we automate
Fleet Management (Adani)
Vehicle health, route efficiency and driver alertness with Vigil.
Driver Drowsiness Detection
In-cab vision watches driver and operator alertness and raises alarms before incidents.
Port Operations
Scheduling and monitoring for port and yard operations.
Vehicle Scheduling
Optimise routes, loads and fuel across the fleet.
Built on acceleratorsComputer Vision & Document AI · Predictive Forecasting & Time-Series · On-Device Small Language Models · Agentic AI & Multi-Agent Orchestration
Teammate swarm
Fleet Operations Swarm
Fleet operations swarm
Fleet and logistics operators
Four agents watch drivers, predict failures and optimise routes. A controller approves every stand-down.
Start the 10·20·30 Pathway
Prove it on your Fleet & Logistics data in 20 days
Other industries
Explore other industries
Questions
Fleet & Logistics AI, answered.
What is Vigil?
Vigil is Vera's in-cab driver safety product. It watches driver alertness in the cab, detects drowsiness and raises alarms before incidents. Controllers approve every stand-down.
How does AI improve fleet operations?
A fleet operations swarm predicts vehicle failures, optimises routes and schedules, and supports port operations, as in Vera's fleet management work with Adani.