The whole fleet, live.
Every decision in time.

Bring telematics, vehicle health and partner feeds into one operating view so fleet teams can decide on current data.

  • Telemetry on one stream

    Read vehicle events in the operating window.

  • A reconciled estate

    Consolidate databases with evidence before cutover.

  • Spend follows the workload

    Measure platform cost as the fleet changes.

40% lower fleet carbon emissions · FleetEnergies

DepotRoutesDropETA slipDispatcherReroute

See each vehicle.
Connect the next action.

Telematics arrives continuously while databases and partner feeds stay fragmented. Join the stream to the fleet record so operators can act on a checked view.

  • Read the live condition

    Connect telemetry to the vehicle and its operating context.

  • Consolidate with evidence

    Reconcile each source before relying on the target.

  • Keep the cost visible

    Measure the platform against the workloads it serves.

This is the right partner when

  • Vehicle health is spread across separate dashboards.
  • Legacy databases slow down a common fleet view.
  • Trade or partner records need matching at scale.

Data and AI work
for fleet operations.

Start with the decision, follow the data, and leave each engagement with something your team can use.

  • StreamRuleAction

    Live telematics and vehicle health

    Bring telematics events onto a queryable stream. Surface the condition that needs the fleet operator’s attention.

    You receiveLive KPI board

    Delivered through Real-Time Intelligence
  • SourceTargetSigned

    Fragmented databases on one platform

    Sequence legacy fleet databases into bounded migration waves. Reconcile source and target before approving each cutover.

    You receiveCutover evidence

    Delivered through Migrations
  • QuestionSemantic modelGold layer

    Fleet KPIs on shared definitions

    Agree the definitions behind vehicle use and operating performance. Give dispatch and management one reporting model.

    You receiveSemantic model

    Delivered through Analytics & BI
  • BillWorkloadsDashboard

    Platform spend as the fleet grows

    Read Fabric or Databricks bills against fleet workloads. Benchmark and tune the running estate with a measured comparison.

    You receiveRefreshed baseline

    Delivered through Data Estate Optimization
  • SourcesCheckedConformed

    Trade and partner data matched

    Map partner feeds into a validated common model. Make record matching and the next integration repeatable.

    You receiveOnboarding runbook

    Delivered through Data Integration
The Mandelbulb Kit Fleet & Logistics edition

Engineered in-house.
The Mandelbulb Kit.

Accelerators, agents and products we build and maintain ourselves, brought into an engagement wherever they fit.

EventsLive KPIsActionStreamingThresholdAlertWorkflowTicketAutomated

Real-time accelerator · Read the fleet

Pulse

Your own operational events, turned into decisions while the work is still moving.

  • Takes operational events into live KPIs
  • Raises anomaly alerts and automated actions
  • Starts with two weeks on one stream family

On the telemetry stream

Explore more about Pulse

Questions buyers ask.

How is AI used in fleet and logistics?

In fleet and logistics, data and AI are most useful for reading vehicle condition while there is still time to act. We bring telematics onto a queryable stream, connect it to each vehicle and its operating context, and surface the condition that needs the fleet operator’s attention. Fragmented fleet databases are consolidated with reconciliation, and partner feeds are matched into a common model.

Which data platform suits a fleet or logistics team?

Fleet teams need a platform that serves both live telemetry and the fleet record, and our work is platform independent: Microsoft Fabric, Databricks or BigQuery for data, with Azure OpenAI, OpenAI, Anthropic, Gemini or a self-hosted model for AI. Pulse, the Kit accelerator for live telemetry, runs natively on Fabric or Databricks, and we read platform bills against fleet workloads so spend follows the work.

How should a fleet operator start with data and AI?

Start with the telemetry stream, database estate or partner-data gap you cannot act on yet. Bring it to a 30-minute working session and we define a bounded next step. Typical first steps are one stream of vehicle events on a live KPI board, or one bounded migration wave from a legacy database, reconciled before cutover.

What governance does fleet data need?

Fleet data needs agreed owners, access rules and definitions before it is consolidated. Reconcile each source against the target before relying on it, keep a record of every cutover approval, and agree the definitions behind vehicle use and operating performance so dispatch and management read the same numbers. Partner records should be matched in a validated model, not by hand.

What does a first fleet engagement deliver?

A first engagement delivers one artifact the fleet team can use. Depending on the starting point, that is a live KPI board for telematics, cutover evidence for a migration wave, a semantic model for fleet KPIs or an onboarding runbook for partner feeds. Each phase is fixed price, fixed scope and priced up front.

Partners and recognition.

  • Microsoft 2024 Partner of the Year, Analytics Award Finalist
  • Microsoft Fabric Featured Partner
  • Microsoft Solutions Partner
  • Google Partner
  • Databricks
  • Anthropic
  • OpenAI

Bring the fleet feed
you cannot act on yet.

Bring the telemetry stream, database estate or partner-data gap. We will define a bounded next step in a 30-minute working session.