IoT Platform
The IoT platform layer
under your connected product
Device management, OTA firmware updates, connectivity management, and the data pipeline behind them. RnD Square builds all four to your spec, alongside the hardware and firmware that feed them, so one team owns the path from sensor to screen.
The Four Capabilities
Every connected product
needs the same four things.
An elevator, a charge point, and a vehicle tracker look nothing alike in the field. Operationally they need identical infrastructure. Each device has to be identified and tracked through its life, kept on current firmware, kept connected on whatever bearer it has, and its data has to land somewhere queryable. Build those four well and the vertical product on top becomes a matter of data models and workflows.
- Per-device identity from factory to retirement
- Staged OTA firmware across the whole fleet
- Bearer choice across cellular, Wi-Fi and LoRa
- Time-series storage with hot and cold paths
- Alerting routed by site, customer and severity
- Export into the analytics stack you already run
Built To Spec
Why the platform gets
built, not rented.
Generic IoT platforms are fine for a proof of concept. They start to hurt when the fleet grows, when the firmware needs something the platform will not do, and when the operations team asks for a screen the vendor has no plans to build. Here is where that pressure usually shows up.
Structural figures, not a performance claim.
The Device Decides the Platform
Payload size, report interval, power budget, and update strategy are firmware decisions. A platform bought before those decisions are made forces the firmware to fit the platform. We design them together, so the device sends what the platform needs and nothing more.
Message Billing Punishes Good Telemetry
Per-message pricing pushes teams to report less often, which is the opposite of what an operations team needs. When you own the ingestion tier, report frequency is an engineering choice about bandwidth and storage rather than a line item that grows with the fleet.
Generic Consoles Do Not Match Operations
A device shadow viewer is a debugging tool. Field teams need warranty state, RMA history, technician assignment, and the firmware version each unit is on. That is application software, and it has to be built for how your company runs service.
Fleets Outlive Platform Contracts
Devices installed today will still be reporting in eight years. The platform under them has to be portable, its data has to be exportable, and its device identity scheme has to survive a change of hosting. We build for that from the first sprint.
Tell us what your device sends and how often. We will tell you what the platform under it has to look like.
Book a Technical Session →Your Extended R&D Team
Four layers.
One engineering team.
Most connected product programmes fail at the boundaries. The hardware team ships a board that the firmware team cannot power-budget. The firmware team ships a payload the cloud team has to reverse engineer. The cloud team ships an API the operations team cannot use. RnD Square covers all four layers, so those boundaries are internal reviews rather than contract negotiations.
Hardware
Schematic design, PCB layout, component selection against power and cost targets, enclosure and thermal work, EMC and certification support, and production test fixtures. The board is designed knowing what the platform will ask of it.
Firmware
The embedded agent that samples, buffers, frames, signs, retries, and updates itself. It carries device identity, handles connection loss without dropping data, and exposes enough diagnostic detail for support to work a fault remotely.
Cloud Services
Ingestion endpoints, protocol decoders, the device registry, the update service, the rules and alerting engine, and the API layer that other systems integrate against. Sized for the message rate the fleet actually produces.
Operations Software
The screens that engineering, production, and support share: fleet status, device history, deployment progress, tickets, warranty, and RMA. This is where the platform stops being infrastructure and starts being a working day.
One Platform, Several Industries
The same layer runs
under every vertical.
A lift controller throws fault codes. A charge point reports session energy. A tracker reports position and ignition state. Different data, identical operational needs. The industry work sits on top of the shared platform, which is why a second product line costs a fraction of the first.
Where it is operated
The day to day work happens in S3Suite, the operations product that carries the device registry, warranty and RMA records, OTA deployments, support tickets, and the fleet views shared by engineering, production, and support. If you want the module detail, see the S3Suite devices module and the S3Suite operations suite.
How Delivery Works
From discovery to a
fleet you can operate.
Technical Discovery
We document the device, the environment it lives in, the connectivity available, the data you need out of it, and who operates the fleet. The output is a scoped plan with a delivery order, not a slide deck.
Protocol and Data Model
Payload format, message types, report cadence, device identity scheme, and the storage model are fixed early. Getting this wrong later means reflashing a fleet, so it gets settled before hardware is committed.
Platform Build
Ingestion, registry, update service, rules engine, and the operations screens are built in parallel with firmware. Devices talk to a live backend from the first bring-up rather than to a mock.
Pilot Fleet
A small batch goes into the real environment. Connectivity behaviour, update reliability, and data quality are measured against the spec. Findings go back into firmware and into the platform before volume production.
Scale and Handover
Production provisioning, staged OTA across the installed base, alert routing, role-based access, and training for the teams who will run it. Support continues for new device variants and platform work.
FAQ
What teams ask before
they commit.
An IoT platform is the software layer that sits between fielded devices and the people who run them. It handles four jobs: identifying and managing devices, updating their firmware, managing how they connect, and turning what they send into stored, queryable, alertable data. Everything a connected product does operationally runs through those four capabilities.
Related
Go deeper.
Bring us the device.
We will bring the platform.
Whether you have a board on the bench, a fleet already in the field, or a spec on a whiteboard, the first conversation is technical and it is free.