Real-Time Visibility
Monitor equipment, assets, environments, and processes in real time not in a daily batch report.
IoT Development Services
Things at Web designs and deploys complete IoT ecosystems from hardware integration and edge computing to cloud data pipelines and real-time dashboards turning physical assets into live data sources. Typical impact: 15-25% maintenance cost reduction and 10-20% OEE improvement.
Enterprise IoT solutions connect physical devices, machines, and environments to software systems enabling real-time monitoring, automated control, and data-driven decision making at scale. An IoT system typically comprises sensors or actuators, an edge computing layer, a cloud platform for aggregation and analysis, and dashboards that surface insights to the right people at the right time.
Connect & Optimize
IoT Development Services. Connect Your Physical Assets to Business Intelligence Ship.
Overview
Things at Web designs and deploys complete IoT ecosystems from hardware integration and edge computing to cloud data pipelines and real-time dashboards turning physical assets into live data sources. Typical impact: 15-25% maintenance cost reduction and 10-20% OEE improvement.
Service Overview
What we actually deliver
Enterprise IoT solutions connect physical devices, machines, and environments to software systems enabling real-time monitoring, automated control, and data-driven decision making at scale. An IoT system typically comprises sensors or actuators, an edge computing layer, a cloud platform for aggregation and analysis, and dashboards that surface insights to the right people at the right time.
Things at Web designs and implements enterprise-grade IoT solutions in production today. We bring proven, in-production IoT expertise to every engagement, not just theory.
Why choose us
Five reasons to choose us
Predictive Intelligence
Move from reactive maintenance to proactive operations. ML models trained on sensor data, integrated with your CMMS.
Automation Where It Compounds
Automate the repetitive operational tasks, free engineers for the work where human judgement adds value.
Full-Stack Capability
We own every layer device, edge, network, cloud, application so no integration falls between vendors.
Proven in Production
Devices in production today, not slides about future capability.
What We Build
Our capabilities
The core capabilities we deliver in every engagement all strict-fact, all in production today.
IoT Strategy & Architecture
Connectivity strategy, device and protocol selection, data model, and security architecture before hardware ships.
Sensor & Embedded Integration
Connect existing machines via Modbus, OPC-UA, MQTT, CAN bus or deploy new sensors where monitoring gaps exist.
Edge Computing
Local processing on gateways for low latency, lower bandwidth costs, and resilience when cloud connectivity drops.
IoT Cloud Platform
Ingestion pipelines, time-series storage, device management, OTA firmware updates, API layers.
Real-Time Dashboards
Operational dashboards for plant managers, field engineers, and executives with threshold alerting and drill-down.
Predictive Maintenance
ML models trained on sensor data to predict failures before downtime integrated with your CMMS.
The process
How we work
Our step-by-step engagement model ensures complete transparency, predictable iterations, and full code ownership on handover.
Discovery & scoping
We map your goals, audit anything that already exists, and agree on scope and success measures before any code is written.
Plan & team
You get a concrete plan with timeline and a named delivery team the same specialists who will actually build your product.
Build in iterations
Working software every iteration, with direct access to the engineers. No account-manager relay, no outsourcing chain.
Launch & ownership
Full ownership of code, hosting, and design files transfers to you on handover. Ongoing operations support is optional, never lock-in.
FAQ
Frequently Asked Questions
Answers to common questions about our process, deliverables, and how we work.
Industrial IoT refers to deployments in industrial settings manufacturing, logistics, energy where reliability, security, and deterministic performance are critical. Consumer IoT tolerates occasional failure; industrial cannot. IIoT uses ruggedised hardware, industrial protocols like OPC-UA and Modbus, and operates with extreme temperatures, vibration, and interference.
Most legacy equipment can be connected via protocol converters or edge gateways reading existing interfaces (serial, Modbus RTU, 4-20mA analogue, PLC outputs) and translating to MQTT or OPC-UA. Where no interface exists, we install vibration, temperature, or power sensors externally. Most machines built after 1990 can be connected without mechanical modification.
Edge computing means processing data locally on a gateway or edge server rather than sending everything to cloud. IoT needs it for latency (machine shutdown commands can't wait), bandwidth (plants with 500 sensors produce enormous volumes), and resilience (local processing continues when connectivity drops).
Four layers: device identity (each authenticated with a certificate, not a shared password), communication encryption (TLS 1.3), network segmentation (IoT devices on isolated VLANs with controlled cloud egress), and firmware security (signed OTA updates with rollback). We conduct threat modelling specific to your deployment environment.
A pilot one production line or site, one use case takes 8–12 weeks from kickoff to live data. A full enterprise deployment across multiple sites with predictive maintenance and ERP integration runs 6–18 months. The biggest accelerator is clear use-case definition and pre-existing OT/IT network infrastructure.
A digital twin is a virtual model of a physical asset mirroring real-world state in real time using sensor data. Businesses need them to simulate operating scenarios, perform remote diagnostics without site visits, or train operators on equipment behaviour. Most valuable for expensive, complex assets where downtime is costly.
Yes. We build API integrations between the IoT platform and your ERP (SAP, Oracle, Dynamics) or CMMS (IBM Maximo, SAP PM, Infor) to automate work order creation from alerts, update asset records with condition data, and feed production actuals into planning. Typically REST API-based, adding 3–6 weeks to deployment.
Get Started
Ready to talk IoT Development Services?
Book a 30-minute discovery call. We'll walk through your needs, propose a concrete first wave, and tell you honestly whether it's the right fit.