###### Data Management

#
          Engineering-grade fleet data management with structure, control, and access

          AutoPi provides an end-to-end data layer for telematics and fleet operations. Raw CAN, CAN FD, OBD-II, GNSS,
          and event streams from AutoPi devices are ingested, decoded where relevant, and stored using consistent
          schemas, timestamps, and identifiers. This gives engineering and operations teams a deterministic foundation
          for analytics, monitoring, and automation instead of ad hoc log files or vendor-specific exports.

          The platform separates ingestion, processing, and access. You define which signals to capture, at which
          sampling rates, and under which conditions they are transmitted. On-device filters and aggregation reduce
          noise and bandwidth consumption. In the backend, scheduled jobs handle retention, rollups, and exports so that
          high resolution data can be archived, downsampled, or forwarded into external systems without manual handling.

          Fleet data integrates into existing BI, ERP, and maintenance systems through **REST**, **MQTT**, and
          **webhooks**, or can be consumed directly from AutoPi dashboards and APIs. Clear data ownership, versioned
          parsers, and traceability from individual signal samples to vehicles, trips, and configurations provide a
          controllable and auditable data backbone suitable for both day-to-day operations and long term engineering
          analysis.

        [
          Contact us
        ](https://www.autopi.io/sales-inquiry/)

###### Solution Highlight

##
      Transform fleet data into a
      powerful tool

      AutoPi provides a structured, engineering-focused data pipeline for fleets that generate high volume and
      high frequency signals. Devices capture raw CAN and OBD-II frames, GNSS samples, and event streams at the vehicle
      edge, enrich them with metadata such as VIN, vehicle type, and firmware version, then uplink the result into a
      backend that is designed for time series workloads and traceable event processing.

          The **AutoPi fleet data management layer** scales from small pilots to production fleets with thousands of
          vehicles that stream continuous CAN, OBD-II, GNSS, and sensor data. Sampling rates, trigger conditions, and
          compression strategies can be tuned per project so that cellular usage, storage footprint, and data
          resolution match concrete requirements. Preprocessing at the edge removes redundant samples and aggregates
          fast signals, which lowers transmission costs while preserving information content.

          Real time and historical data follow the same schemas and indexing strategy, which simplifies correlation of
          events across vehicles and time. This enables **dashboards, anomaly detection, alerting, and automated
          reporting** without per-project restructuring of payloads. Trip segmentation, event rules, and time series
          alignment make it possible to relate low level frames to higher level KPIs such as utilization, fault
          frequency, and energy use per route.

          Access control is enforced through **role-based permissions** and scoped views so that sensitive operational
          and vehicle data is only accessible to the intended users and systems. All communication uses device
          certificates and **TLS encryption**, and audit logs together with configurable retention policies allow the
          platform to be aligned with internal security, compliance, and data governance requirements.

          With an **open data pipeline**, AutoPi integrates with **data lakes, BI platforms, ERP and maintenance
          systems,** and custom applications. Enriched datasets can be exported in batch, consumed through REST APIs,
          subscribed to via MQTT topics, or delivered to external endpoints through webhooks. The platform is intended
          to fit into existing architectures instead of replacing them and provides a consistent way to keep fleet data
          clean, synchronized, and interoperable across systems.

###### Related Features

##
      Key features to boost your
      fleet data management

      AutoPi turns raw telematics signals into a governed data layer. These capabilities control which users and
      systems can access specific data sets, how that data is exposed, and how it moves between vehicles, AutoPi Cloud,
      and external infrastructure.

##### Secure and customize user permissions

          Control access to fleet data with role-based permissions that can be scoped per customer, project, vehicle
          group, or feature set. Operational staff, engineering teams, and external partners can work in the same
          environment while seeing only the vehicles, signals, and tools that are relevant to them. All changes and
          sensitive actions can be written to audit logs with user, time, and context information.

        [
          AutoPi Cloud
        ](https://www.autopi.io/software-platform/cloud-management/)

##### Shape how data is exposed

          Configure custom endpoints, message topics, and payload layouts so that AutoPi data matches the contracts used
          by your BI, ERP, maintenance, or customer-facing systems. Map raw and derived signals into domain-specific
          models, control aggregation windows and units, and publish only the data each consumer requires in order to
          reduce coupling and simplify long term maintenance.

        [
          Custom endpoint
        ](https://www.autopi.io/business-solutions/features/real-time-data-streaming/)

##### Streamline your data flow

          Use AutoPi as an IoT gateway for telematics workloads. Ingest CAN and OBD-II frames, GNSS data, and sensor
          inputs at the edge and forward them via **REST**, **MQTT**, and **webhooks** to cloud services, data
          lakes, or message buses. Local buffering, retry logic, and throttling make sure that intermittent networks and
          backend limits are handled in a predictable way while keeping fleet data flowing.

        [
          IoT gateway
        ](https://www.autopi.io/business-solutions/features/real-time-data-streaming/)

###### Products

##
      Better fleet
      data insights

      Build a reliable, high resolution data pipeline for your fleet. AutoPi hardware captures the signals, and AutoPi
      Cloud structures, stores, and distributes them so that they are ready for analytics, dashboards, and operational
      automation.

### Streamline data collection

          The **AutoPi TMU CM4** is a Linux based telematics unit for engineering-grade data acquisition and edge
          processing. It logs raw CAN and CAN FD frames, OBD-II data, GNSS samples, and events with precise timestamps
          and device identifiers. Configurable filters, triggers, and compression profiles define which data is
          transmitted, stored locally, or used only for on-device logic. Dual CAN interfaces, 4G or LTE connectivity,
          and extensible I and O make the device suitable for both internal combustion and battery electric platforms.

        [
          AutoPi TMU CM4
        ](https://www.autopi.io/hardware/autopi-tmu-cm4/)

### Centralize your fleet data

          **AutoPi Cloud** aggregates data from every connected vehicle into a structured, searchable, and exportable
          repository. Trip logs, live events, alerts, diagnostic records, and configuration changes are stored with
          consistent identifiers so that they can be queried directly or routed into other systems through REST, MQTT,
          and webhooks. Over the air updates, parser versioning, and role-based access control help keep the data model
          synchronized across devices and projects while maintaining clear boundaries between customers and environments.

        [
          AutoPi Cloud
        ](https://www.autopi.io/software-platform/cloud-management/)

###### Why AutoPi?

##
          Inspiring industry innovators: our role in

          your success

          AutoPi gives engineering teams, data analysts, and fleet operators a transparent and programmable data
          foundation. Instead of a closed telematics stack, AutoPi exposes raw signals, structured datasets, event logs,
          and device metrics so that custom analytics, automation, and integrations can be implemented on top. From
          hardware configuration through to data export, the platform is designed to support repeatable processes, long
          term maintainability, and the level of observability that technical teams expect when they build or extend
          fleet solutions.

###### Something unclear?

## Frequently asked questions

##

            Fleet data management is the end-to-end process of acquiring, structuring, storing, and exposing data that
            originates from vehicles and drivers. It covers ingestion from telematics units such as CAN and OBD-II,
            GNSS, and auxiliary sensors, normalization into consistent schemas, application of business logic such as
            trips, events, and KPIs, and distribution of the resulting datasets to dashboards, APIs, and downstream
            systems.

##

            AutoPi can collect raw CAN and OBD-II messages, EV battery metrics where supported, GNSS position and
            speed, trip and ignition events, diagnostic trouble codes, and custom sensor inputs such as temperature,
            door switches, or digital and analog I and O. All streams are timestamped, tagged with device and vehicle
            identifiers, and made available for real time use and long term analysis.

##

            Data is stored using consistent, versioned schemas that link signals and events to vehicles, devices, and
            trips. Time series, events, and configuration changes are all recorded with timestamps so that system state
            can be reconstructed for any interval and KPIs can be recalculated when models change. Retention policies
            and export options control how long raw and processed data is kept and which subsets are archived or moved
            into external storage.

##

            Yes. AutoPi supports exporting datasets and streaming telemetry into external systems through REST APIs,
            MQTT topics, and webhooks. Many customers use AutoPi as the ingestion and normalization layer and then
            forward structured data into data lakes, warehouses, or stream processing platforms where it is combined
            with business data and used for reporting and modeling.

##

            AutoPi devices can filter, aggregate, and compress data at the edge before transmission. Sampling
            rates and capture rules are configurable per use case so that only relevant packets are sent. On the
            backend, buffering, batching, and retention policies ensure that large fleets and high frequency CAN or GNSS
            streams remain manageable without overloading networks or storage subsystems.

##

            Data is transported over TLS encrypted connections that use device bound credentials. Access to fleet
            data, APIs, and management functions is controlled with user roles and permissions. Data ownership,
            retention, and export rights are defined in your commercial agreement, and AutoPi can be configured to
            export or synchronize data regularly into your own infrastructure for long term storage and compliance.

##

            Yes. AutoPi is used in mixed ICE and EV fleets. Where supported by the vehicle, EV specific signals such as
            state of charge, charging power, battery temperature, and range indicators can be collected and processed
            together with conventional metrics such as fuel use, mileage, and engine diagnostics so that a single data
            model covers the entire fleet.

##

            AutoPi exposes fleet data through REST APIs, scheduled exports, and streaming interfaces that BI tools or
            integration layers can consume. You can query the AutoPi backend directly, push data into your own
            databases on a schedule, or subscribe to event streams that feed live dashboards, scheduled reports, and
            analytic models.

##

            Developers can integrate with AutoPi through documented REST APIs, MQTT topics, and webhooks. On the device,
            standard Linux tooling can be used to deploy custom scripts, services, and integrations. Data teams can rely
            on stable schemas, event types, and export formats, which simplifies the creation of pipelines, models, and
            dashboards on top of AutoPi data.

##

            A typical pilot starts with a small number of AutoPi devices installed in representative vehicles, AutoPi
            Cloud access or an API endpoint in your own backend, and a short list of concrete objectives such as
            improving visibility, validating KPIs, or integrating data into a specific system. Once the data model and
            integration path are validated, the same configuration can be rolled out across the wider fleet with only
            minor adjustments.

// your proof of concept

## Build a PoC for Fleet Data Management

Let's find the right hardware for your vehicles, validate the data you need and plan the integration together.

### Choose by integration requirements

// fleet data

#### AutoPi Mini

Verify supported EV/OBD vehicles and parameters for standard fleet data.

					[Explore Mini →](https://www.autopi.io/hardware/autopi-mini/)

// vehicle-bus logging

#### AutoPi CAN-FD Pro

Evaluate J1939, CAN FD and vehicle-bus data logging.

					[Explore CAN-FD Pro →](https://www.autopi.io/hardware/autopi-canfd-pro/)

// custom edge software

#### AutoPi TMU CM4

Develop Docker workloads and custom edge software.

					[Explore TMU CM4 →](https://www.autopi.io/hardware/autopi-tmu-cm4/)

Confirm vehicle power, connectors, adapters and any required external sensors. An accessible connector does not guarantee that every requested signal is available.

				[Compare device capabilities →](https://www.autopi.io/hardware/compare/)

// project scope

### Separate standard capabilities from project work

Included

The selected device's documented hardware and standard software capabilities. Confirm supplied accessories and Cloud access terms for your order.

Configure

Supported signals, sampling, trip and geofence rules, data delivery and retention for the selected device and platform.

Custom development

Proprietary signal decoding, custom applications, external sensor integration and ERP/TMS workflows require an agreed scope.

// from testing to rollout

### Explore what's possible on your vehicles
					[Image: AutoPi vehicle data devices]

We'll help you choose devices to purchase for representative vehicles, then work with you to extract the data you need, including reverse engineering where needed. Together, we'll agree the scope and acceptance criteria, validate the captured signals and integration, then decide on rollout.

					[Discuss your PoC →](https://www.autopi.io/sales-inquiry/?product=compare&intent=proof-of-concept&source=business-fleet-data-management)

            // contact

## Still have questions?

Get in touch with us - we're ready to answer any and all questions.

// send a message

We aim to reply within one business day.

Or email [sales@autopi.io](mailto:sales@autopi.io).