• Generic cloud IoT service that doesn't match your device management or multi-tenant requirements?

  • Device data arriving at scale with no reliable pipeline to process, store, and make it accessible?

IoT Platform Development

An IoT platform is the software infrastructure that sits between your physical devices and your business applications. It handles device provisioning and authentication, message routing at scale, data ingestion and storage, and the operational interfaces your team uses to monitor, alert, and act on device data.
We build end-to-end IoT platforms for organisations that need more than a cloud vendor's generic IoT service -- custom device management, multi-tenant architecture for platforms serving multiple customers or sites, and the integration layer that connects device data to your existing business systems.

  • End-to-end platform -- device management, data ingestion, dashboards, and integrations

  • Multi-tenant architecture for platforms serving multiple customers or sites

  • MQTT, CoAP, HTTP, WebSocket, Modbus, and OPC-UA protocol support

  • Fixed cost delivery with full source code ownership

An IoT platform is the software layer that connects physical devices to business applications -- handling device provisioning, authentication, message routing, data ingestion, and the dashboards and APIs that make device data usable. It differs from a generic cloud IoT service in that it is built around your specific device types, operational workflows, and integration requirements. Multi-tenant IoT platforms serve multiple customers or sites from shared infrastructure with data isolation between tenants.

Vodafone
Aldi
Nike
Microsoft
Heineken
Cisco
Calorgas
Energia Rewards
GE
Bank of America
T-Mobile
Valero
Techstars
East Ventures

A generic cloud IoT service handles the basics -- device connectivity, message routing, basic dashboards -- but breaks down when you need custom device management logic, multi-tenant data isolation, integrations with your specific operational systems, or a user interface built for your team's actual workflow rather than a generic operations console.

Custom IoT platform development means building the device management layer, data pipeline, application interfaces, and integration layer to fit your devices, your operational context, and your users -- not adapting your operation to fit a generic platform's constraints. The result is an IoT platform that your operations team will actually use because it reflects how they work.

What we build

Device provisioning and authentication

Secure device onboarding workflows: certificate-based authentication, device identity management, and the provisioning process that registers a new device to your platform without manual backend intervention. Fleet management views covering device status, connectivity health, firmware version, and last-seen timestamps. Bulk provisioning for large-scale deployments. Role-based access control so operators, administrators, and customers see only the devices and data they are authorised to access.

MQTT and protocol integration

Message broker setup and configuration for your device fleet's communication protocol: MQTT for standard IoT messaging, Modbus and OPC-UA for industrial equipment, HTTP and WebSocket for web-connected devices. Message routing, topic structure, and quality-of-service configuration. Protocol translation for mixed fleets where different device types use different communication methods. Message queue integration to handle burst traffic without data loss during peak ingestion periods.

Multi-tenant IoT platform architecture

Multi-tenant platform architecture for IoT products that serve multiple customers, locations, or business units from shared infrastructure. Data isolation between tenants at the database, message broker, and application layer. Tenant onboarding workflows, per-tenant device fleet management, and configurable alert thresholds per tenant. White-labelling support for platforms where each customer sees a branded interface. The architecture that lets you scale your IoT product to more customers without proportional increases in infrastructure cost.

Data ingestion and time-series storage

High-frequency data ingestion pipelines designed for time-series device data. Stream processing for real-time aggregations, rolling windows, and threshold-based alerting. Time-series database storage with retention policies and downsampling for historical data. Data transformation and normalisation for devices that report in different formats or use different unit conventions. Efficient querying for historical trend analysis, report generation, and anomaly investigation.

Operational dashboard and alerting

Operational dashboards built for the people who act on device data: real-time fleet maps, device status views, trend charts, and exception queues. Configurable alert thresholds with escalation rules -- notify the operator, then the supervisor, then the on-call engineer if the condition persists. Mobile-friendly interfaces for field teams who need visibility on their phones. Custom dashboard layouts per user role so each team sees the data most relevant to their decisions.

IoT platform API and integration layer

REST API exposing device data and management operations to your other business systems: ERP, CRM, CMMS, fleet management, and third-party applications. Webhook support for pushing device events to external systems in real time. Integration with existing operational platforms so IoT data feeds decisions in the systems your team already uses rather than requiring a separate tool. API documentation, authentication, and rate limiting for external integrations.

Need a platform built around your devices and workflows?

Tell us your device types, data volumes, and the operational decisions the platform needs to support. We'll design the architecture and give you a fixed cost.

Talk about your IoT platform project

Frequently asked questions

An IoT platform is the full software stack that connects your physical devices to the applications and people that use their data. It includes: device management (provisioning, authentication, status monitoring, OTA firmware updates), the ingestion layer (message broker, protocol handling, queue management for high-frequency data), the processing layer (stream processing, aggregations, threshold-based alerting, anomaly detection), the storage layer (time-series database for sensor data, relational database for device registry and configuration), and the application layer (REST API, operational dashboards, alert management, and integrations with ERP, CRM, or CMMS). Most organisations start with a managed cloud service and move to a custom platform when the generic service can't handle their specific device management, multi-tenancy, or integration requirements.

We build IoT platforms that communicate with devices via MQTT (the most common IoT messaging protocol, lightweight and well-suited to constrained devices), CoAP (for very constrained devices with minimal power budget), HTTP/REST (for devices with higher power and better connectivity), WebSocket (for bidirectional real-time communication), Modbus (for legacy industrial equipment), and OPC-UA (the standard for industrial automation systems). Protocol support is determined by what your devices use -- we build the broker and message handling layer to match your hardware's communication protocol. We also work with AWS IoT Core and Azure IoT Hub as the message broker layer when those are already in your infrastructure.

Device data is high-frequency, time-series, and often bursty -- it requires a different architecture than transactional data. We use a message broker (MQTT broker or managed alternative) to decouple ingestion from processing, a message queue to handle burst traffic without data loss, stream processing for real-time aggregations and alerting, and a time-series database (TimescaleDB, InfluxDB, or a managed alternative) for efficient storage and querying of sensor data. We scope the data architecture around your device count, messages-per-second rate, and data retention requirements before writing a line of code.

A focused IoT platform -- device management for one device type, real-time data ingestion, a dashboard, and basic alerting -- typically runs $30,000--$70,000. Full IoT platforms with multiple device types, complex data processing, multi-tenant architecture, ERP integration, and mobile apps run $70,000--$180,000. Cost depends on device count, data volume, integration complexity, and multi-tenancy requirements. We scope every project before pricing it and deliver a fixed-cost proposal.