Device data sitting in manufacturer portals with no integration to your operations systems?
No real-time visibility across your connected fleet -- just periodic exports and manual reconciliation?
IoT Application Development Company
Connected devices generate data. Most of it sits in silos -- a fleet tracker that doesn't talk to your dispatch system, sensors on a production line with no integration to your MES, smart meters with no customer portal to surface the data.
We build the software that makes connected devices useful. IoT platforms, device management layers, real-time data pipelines, and the dashboards and alerts that turn sensor data into operational decisions. Fixed cost, production-ready.
IoT platforms connecting devices, data pipelines, and downstream systems
Real-time dashboards and alerting built around your operational workflows
Device management, OTA updates, and fleet monitoring for connected deployments
100+ products shipped including IoT and connected device systems
RaftLabs builds custom IoT platforms and connected device applications -- device management layers, real-time sensor data pipelines, operational dashboards, and alerting systems for manufacturing, logistics, energy, and facility management use cases. We connect your hardware to your operational systems so sensor data drives decisions rather than sitting in silos. Most IoT platform builds launch in 12--16 weeks at a fixed cost, with full source code ownership.
Device data is only valuable if something acts on it
A GPS tracker that logs location to a database nobody checks isn't worth the hardware cost. A production line sensor that emails a CSV weekly doesn't prevent the downtime it detects too late. A smart meter that shows consumption in a manufacturer portal your customers never log into wastes the meter.
The value of connected devices comes from closing the loop -- device to data to decision, in time to matter.
What we build
IoT platform development
End-to-end IoT platforms connecting your devices, data pipeline, and application layer. Device provisioning and authentication, message routing, data ingestion at scale, and the application interfaces your operations team uses daily. Multi-tenant architecture for platforms serving multiple customers or sites. Built around your hardware's protocol and your operational workflow -- not a generic IoT template.
Device management
Device registry, provisioning, status monitoring, and over-the-air (OTA) firmware update management. Fleet-level views for monitoring connectivity, battery, and health status across hundreds or thousands of devices. Alerting on device failures, connectivity drops, and anomalous readings. Lifecycle management for devices across locations and operational contexts. The management layer that keeps your connected fleet operational at scale.
Real-time data pipelines
High-frequency data ingestion pipelines built for time-series device data. MQTT broker integration, message queuing, stream processing, and time-series database storage. Real-time aggregations, rolling windows, and threshold-based alerting. Data transformation and normalisation for devices reporting in different formats. The pipeline that handles burst traffic without losing data and keeps latency low enough for operational decisions.
Operational dashboards and alerts
Real-time operational dashboards built for the people who act on device data -- operations managers, fleet dispatchers, facility teams, and field engineers. Live maps, trend charts, threshold alerts, and exception queues. Mobile-friendly dashboards for field teams. Configurable alert thresholds and escalation rules. The interface that turns sensor readings into operational decisions without requiring users to interpret raw data.
Industrial IoT and SCADA integration
Integration of IoT platforms with industrial systems -- SCADA, MES, CMMS, and ERP. Modbus, OPC-UA, and industrial protocol integration for legacy equipment. Edge processing for environments with limited connectivity or latency requirements. Predictive maintenance data pipelines that connect equipment sensor data to maintenance workflows. The bridge between your operational technology and your information technology layers.
Connected product development
Software for physical products that include connectivity as a feature -- consumer devices, commercial equipment, and smart building systems. Mobile and web companion apps for connected product management. Cloud backend for device state management, user accounts, and remote control. Usage analytics and telemetry for product improvement. The complete software stack for your connected product, from device firmware integration to end-user app.
Tell us about your connected devices and what you need them to do.
Device type, data volume, and the operational problem you're solving. We'll design the platform and give you a fixed cost.
Frequently asked questions
IoT application development is the process of building the software layer that connects physical devices -- sensors, machines, vehicles, meters, and equipment -- to the systems that use their data. This includes the device management platform (provisioning, authentication, OTA updates), the data ingestion pipeline (handling high-frequency time-series data at scale), the processing layer (rules, aggregations, anomaly detection), and the application layer (dashboards, alerts, and integrations with ERP, CRM, or operational systems). The hardware is your devices. The software is what makes the data from those devices actionable.
We build the software layer and integrate with your hardware via its communication protocol. Common protocols we work with: MQTT (most common for IoT messaging), HTTP/REST (for devices with higher power budgets), CoAP (constrained devices), WebSockets (real-time bidirectional), Modbus and OPC-UA (industrial equipment), BLE and Zigbee (short-range sensors). We don't manufacture hardware, but we work alongside your hardware vendor to integrate their device firmware with the platform we build. We've connected GPS trackers, smart meters, industrial sensors, and building management systems.
Device data is fundamentally different from transactional data -- it's high frequency, time-series, and often arrives in bursts. We use message queue architectures (MQTT broker + message queue) to handle ingestion at scale without data loss, time-series databases for efficient storage and querying of sensor data, stream processing for real-time aggregations and alerting, and edge processing where bandwidth or latency constraints require processing close to the device. We scope the data architecture around your device count, message frequency, and retention requirements before writing a line of code.
Yes. Most IoT projects involve integrating device data with an existing system of record -- a SCADA system, ERP, CMMS, fleet management platform, or custom operations tool. We scope the integration approach during discovery -- what the existing system exposes via API or database, what data needs to flow in each direction, and where the authoritative source for each data type lives. Integration with legacy industrial systems (Modbus, OPC-UA) and modern cloud platforms (AWS IoT, Azure IoT Hub) are both in scope.
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, ERP integration, and mobile apps run $70,000--$180,000. Cost depends on device count, data volume, integration complexity, and application requirements. We scope every project before pricing it.