Leaders in AI Governance & Compliance
Predict disruptions, lower fleet costs & keep routes on schedule
Fleet, route & maintenance date connected in one system, so operations teams act on risk before they cost
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Give internal audit and external supervisors the same answer, with every prediction traced to its inputs, ready before a SREP review asks for it.
Keep one complete, current inventory of every model in production — the register regulators expect you to already have.
Catch model drift automatically, so business units keep moving without you becoming the bottleneck that catches it manually.
Map every control to the specific article it satisfies, so a supervisory request gets a documented answer, not a scramble.
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Yes, on-premises deployment is fully supported alongside private cloud and sovereign configurations for logistics operators with strict data residency or operational continuity requirements. The platform connects directly to your existing infrastructure rather than replacing it, drawing data from telematics, ERPs, and transportation management systems into a single connected view while your current dispatch software continues to operate as it does today.
Your operational telemetry and shipment data remain within infrastructure you control at all times and never leave the boundaries you define. Data is encrypted both at rest and in transit, with access governed by the same role-based controls your information security functions already rely upon, ensuring every data interaction remains fully logged and auditable. We recommend a dedicated security review during a briefing to address your organization's exact requirements.
Regulatory alignment is a core design principle of the platform, with automated governance workflows built against frameworks including the EU AI Act, NIS2, GDPR, and ISO standards. Operational routing and predictive maintenance models stay categorized in low-risk tiers to avoid unnecessary compliance friction, and the specific frameworks relevant to your fleet will be mapped out in detail during a briefing.
Explainability is a core capability of the platform rather than a supplementary feature. Given the tight margin pressure and strict SLA requirements surrounding route planning and fleet maintenance, every output can be traced back to the specific sensor inputs, lane variables, and historical constraints that produced it, ensuring every recommendation is clear and defensible to dispatchers, safety directors, and fleet managers alike.
In enterprise logistics deployments, predictive route optimization and fleet intelligence capabilities have achieved up to an 85% reduction in the route planning cycle while delivering high predictive accuracy and compliance rigor across regulated European operations. Deployment timelines average approximately 90 days from kickoff to go-live, though the precise duration depends on the complexity of your telematics and dispatch environment, which we will map out during a briefing.
Pricing depends on the scope of your deployment, the specific capability modules required, and the size of your fleet, so we do not publish a flat rate. A briefing gets you an accurate scope and pricing conversation based on your organization's actual operational requirements, rather than a figure that wouldn't reflect what you'd really invest.
