Features
AI enrichment of raw telematics data
Unified visibility across vehicles, drivers, sites, and systems
Automated exception and bottleneck detection
AI assistant for operational queries and report generation
Dispatch view with integrated HOS, cost, and availability
Fleet utilization monitoring with target tracking
Maintenance readiness and service interval alerts
Equipment health monitoring
Site monitoring: dwell time, queue time, idle, cycle time
Automated dwell and queue time tracking
Workflow customization with templates
Billing accuracy reconciliation (mileage, extras)
Live truck route status and ETA
Telematics and TMS/ERP system integration
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
