Trusted IoT Solutions

IoT engineering, from signal to operational decisions.

We design and integrate devices, edge, connectivity, cloud, APIs and operational tools as one system. Trusted Data becomes part of the architecture when provenance, identity and integrity are genuine requirements.

SignalDeviceEdgeTransportCloudOperations
Observable end-to-end flow
01DEVICE02EDGE03CONNECTIVITY04CLOUD05DATA06OPERATIONS

One system, not a collection of components

Every step in the data journey must be engineered.

We can start from an objective still to be translated into technology or from components already in place. We select and connect hardware, software and cloud services across the entire data chain.

01

Device & embedded

Sensor, MCU/SoC and module selection, firmware, acquisition, power budgets, identity and updates.

02

Gateway & edge

Normalisation, buffering, store-and-forward, local logic and offline operation.

03

Connectivity & protocols

MQTT, HTTP, Modbus, CAN, BLE, serial, cellular, Wi-Fi and Ethernet.

04

Cloud & data

Cloud-architecture selection, ingestion, device registry, storage, stream processing, APIs and application integration.

05

Telemetry & operations

Dashboards, maps, alerts, commands, diagnostics, observability and operational support.

06

Security & Trusted Data

Provisioning, keys, certificates, TLS, authorisation, provenance and auditability.

HDA / SYSTEMS

Coordinated expertise across the stack

HDA coordinates decisions across disciplines, from sensor and hardware-platform selection to connectivity, cloud, data and operational interfaces.

01Device & embedded
02Gateway & edge
03Connectivity & protocols
04Cloud & data
05Telemetry & operations
06Security & Trusted Data

Systems in the field

From the sensor to an operational decision.

Three moments in the same system: data starts on the asset, is managed at the edge and becomes information for operations.

Technician installing and checking an IoT sensor on an industrial pump
01 / FIELDSensor and asset: data starts on the machine.
Connected edge gateway inside an industrial control cabinet
02 / EDGEGateway and connectivity handle data close to the asset.
Operator reviewing an industrial IoT monitoring dashboard
03 / OPERATIONSDashboards and alerts turn signals into decisions.
Drift car monitored by a technician from a protected telemetry station

Field project

Telemetry where data has to arrive during the event.

Device, acquisition, connectivity, processing and operational interface are verified in the same context.

View project
Engineer reviewing electrical measurements and an industrial energy dashboard
02Edge-to-cloud system

Energy monitoring

An edge-to-cloud flow that acquires measurements, contextualises them by site and machine, visualises them and generates alerts.

EnergyMQTTEdge-to-cloudAlerts
View project
Technician configuring a tracker and reviewing the fleet on a tablet
03Documented service

Fleet and asset tracking

GNSS and OBD trackers, cellular connectivity, dashboards, events and operational tools for distributed vehicles and assets.

GNSSCellularGeofenceStore-and-forward
View project
Integrated embedded interface inside a test vehicle
04Technical project

Embedded vehicle-test system

An onboard system guides the test driver through a mission and displays GNSS, CAN and results on a dedicated interface.

Vehicle testingEmbedded displayGNSS + CANHuman-machine interface
View project

Trusted Data

Trusted Data, where it genuinely matters

Not every telemetry stream requires an immutable ledger. When data supports verification, accountability or audit, we design identity, signatures, provenance and chain of custody to the required level of rigour.

Explore

METHOD / 01–04

From concept to operation

01

Define

Objectives, use cases, environment, requirements and acceptance criteria.

02

Design

Architecture, data contracts, identity, security and failure modes.

03

Integrate

Devices, edge, protocols, cloud, APIs and operational interfaces.

04

Operationalise

Testing, observability, runbooks, updates and handover.

A system to design or evolve?

Start from the objective and build the technical path.

We can define a new system from hardware to cloud, or integrate and industrialise what already exists.

Discuss the project