We design the whole chain from sensor to cloud: device firmware, MQTT-based telemetry, edge processing and a remote monitoring panel. Your machines, production line and field equipment come together in a single data stream — and the source code we write is handed over to you.
IoT and embedded systems are the layer that connects physical equipment to software. The sensors measuring a machine's temperature, a motor's vibration, a tank's level or a line's downtime; the embedded devices collecting that data; the communication protocols carrying it securely; and finally the panels and reports where decisions are made — all of it is one whole. When any link in that chain is missing or mismatched, what you have is not real-time visibility but a scattered pile of data.
Off-the-shelf solutions are usually tied to a single device brand, a fixed protocol or a cloud lock-in. The reality in the field, however, is usually messy: machines of different ages, PLCs from different manufacturers, wired connections in some places and cellular in others. Custom development makes sense precisely because it brings this heterogeneous environment into a single architecture. We choose devices, protocols and cloud based on your circumstances, and avoid unnecessary licence and subscription lock-ins.
At Pan Innovation House we run IoT projects API-first and iteratively. We first build a measurable pilot with a small set of devices, validate the data flow and the decision value, then scale. This applies to the firmware, edge services and monitoring panel too: the source code we write and your data are handed over to you as defined in the contract; third-party and open-source components remain subject to their own licences. Deliveries go through a review step before they go live, and the maintenance scope after go-live is defined in the contract.
Plants in carpet, machinery, textiles and food that want to monitor machine status, temperature, pressure, vibration and downtime in real time. For those who want old and new machines on a single panel, and planned maintenance driven by data.
Businesses that want to monitor warehouses, cold chains, water tanks, generators or remote field equipment without being on site, and receive alerts when thresholds are crossed. For collecting telemetry from remote locations over cellular connections.
Manufacturers who want to add a remote monitoring, usage telemetry and service-call layer to the devices they sell. To see how their product performs in the field and offer customers a value-added monitoring service.
Growing SMEs and exporters — or those planning new investment — that want production and warehouse data from different locations gathered centrally into a single view.
Microcontroller-based embedded software; we write the sensor-reading, local buffering, secure connectivity and over-the-air (OTA) firmware update logic to suit your device class.
For a resilient device-to-cloud data flow: MQTT broker architecture, topic design, QoS levels and retransmission logic that prevents data loss when the connection drops.
Filtering, threshold checks and pre-processing in the field before data is sent to the cloud. This cuts bandwidth and ensures critical alerts fire locally even without connectivity.
Live dashboards, device status, alarm management and permission-gated remote commands. A web-based, role-based, mobile-friendly interface.
Reading data from existing PLCs, SCADA and industrial equipment; bringing the machines on your production line into a common data model and running alongside your existing automation.
A flexible rules engine: email, SMS or panel alerts when a temperature, level, downtime or fault threshold is crossed, with mute and escalation logic to prevent repeat triggering.
Proper storage of time-series data, historical analysis, and API endpoints ready to feed your existing BI/reporting layer.
Together we establish which machines and equipment will be monitored, the state of existing sensors and PLCs, connectivity conditions (wired/cellular) and the decision value. Scope and architecture decisions are made at this step.
We build an end-to-end pipeline with a limited number of devices: sensor reading, transport over MQTT, edge processing and display on the panel. Data flow and accuracy are proven in the real environment.
We iteratively develop the monitoring panel, alarm rules and, where needed, SCADA/ERP integration. Every release goes through a review step before it goes live.
Once the pilot is validated, we grow the device count and site coverage in stages, bed in the OTA update and monitoring processes, and train your team as part of the handover.
After go-live we monitor system health, keep firmware and panel updates flowing, and provide support under the maintenance scope defined in the contract. The source code we write is handed over to you as defined in the contract.
Cost and timeline depend on the number of devices to monitor, sensor variety, connection type and integration scope. After the field discovery we share a firm scope and proposal. We do not quote unrealistic figures upfront; starting with a small pilot usually reduces both the risk and the initial cost.
Yes. This covers the firmware, edge services and monitoring panel: the source code we write and your data are handed over to you as defined in the contract; third-party and open-source components remain subject to their own licences. You can continue the system at any time with your own team or another one.
Usually, yes. We design the system to bring machines of different brands and ages, along with existing PLC and SCADA systems, into a common data model. During discovery we examine what data your equipment can provide, and add sensors where genuinely needed.
No. We build local buffering and retransmission logic into the device; when the connection drops, data is held in the field and sent once the connection returns. Critical threshold alerts can fire at the edge, locally, even without the cloud.
Both are possible. We can run in a cloud such as AWS, on your own server, or in a hybrid setup. The choice is made together during discovery, based on data ownership, regulation and your expectations for scale.
Yes. Under the maintenance scope defined in the contract we provide system monitoring, firmware and panel updates, bug fixes and support for adding new devices. If you wish, we train your team to run the system fully on its own.
We listen to what you need and tell you whether custom development or an off-the-shelf product fits better. The first 30-minute call is free; the scope of an on-site discovery, and its fee if any, is agreed in writing during that call.
We collect a machine's vibration, temperature, current and cycle data, learn its normal operating signature, and catch deviations from that signature before failure occurs. An alert becomes a maintenance work order; the machine's history and the parts used accumulate in the same record.
Details →We build camera-based visual inspection on the production line: surface defects, colour and shade variation, missing parts, label verification and dimensional checks. The work does not begin as a software installation — it begins with feasibility and sample testing.
Details →We generate demand forecasts from order history, seasonality and stock data, and link that forecast to your production and purchasing plans. We sequence work under capacity constraints, calculate safety stock and measure how accurate the forecast actually was.
Details →We build a system that collects labour data from the shift plan to the time-and-attendance terminal, from overtime to piece-rate incentives, and prepares the file that goes to payroll matched against production records. Who has earned what is visible clearly enough that objections become unnecessary.
Details →We build a system that collects meter and field data and allocates energy to lines, machines and products. The basis for your annual declaration is ready, and a product's true energy cost stops being an estimate.
Details →Off-the-shelf CRM packages do not recognise the real sales flow of industry and export. We develop a custom CRM that talks to your ERP, modelling the long sales cycle, the sample-proforma-order chain, dealer management and quotation tracking around your own process.
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