IoT Application Development Services
IoT software that turns device data into an operating decision.
Connected hardware creates value only when its data reaches the person or system that can act on it. We build the device-management, telemetry, application, and integration layer around a defined field workflow, then prove it with a controlled fleet before expansion.
Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.
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The brief
Start with what is not working.
Good software decisions begin with the constraint, not a list of features or a preferred technology.
Devices report data, but operators still reconcile vendor portals and spreadsheets?
A desk pilot works, but connectivity, identity, and recovery are unresolved in the field?
Plain answer
IoT application development builds the software between connected devices and the people or systems that act on their data. RaftLabs delivers device identity, telemetry ingestion, fleet operations, dashboards, alerts, and integrations around one defined workflow.
What to remember
- IoT software sits between connected devices and the people or systems that act on their data.
- A useful first release closes the whole loop from a device event to the person responsible for the response.
- Delivery covers device identity, telemetry ingestion, fleet operations, dashboards, alerts, and integrations around one defined workflow.
The device was connected. The workflow was not.
Telemetry arrived. The operator still copied every exception into another system by hand. That pilot proved connectivity, but a useful first release must close the whole loop from a device event to the person responsible for the response.
Published adjacent IoT proof
- less clinical decision time
- 20%
- Remote patient monitoring case study
- patients onboarded in 12 weeks
- 150+
- Remote patient monitoring case study
- BLE smart locks activated
- 250
- Serviced-apartment case study
The remote patient monitoring case and BLE smart-lock case prove adjacent device integration in production. They do not prove an outcome for every IoT use case. Each new release needs its own baseline, field test, and acceptance evidence.
Build custom IoT software when the field workflow is specific and the device boundary is real.
Start with representative hardware, a named operator, and one decision the data must support.
Devices exist or have a stable interface that can be tested before architecture is fixed.
A protocol, lifecycle, tenancy, compliance, or integration need exceeds a vendor portal.
One operating workflow has an owner and a measurable baseline.
Hardware and firmware are still changing without an agreed interface.
The requirement is only a generic dashboard already offered by the device vendor.
Nobody owns the alert, exception, command, or follow-up action.
The first decision is not what to build.
It is whether software is the right answer at all. We use four possible recommendations before discussing a development scope.
- 01
Buy
Choose a maintained product when it handles the core device operations workflow and the remaining gaps can be solved with configuration, a connector, or a small process change. Paying for software you do not have to maintain is often the better trade.
- 02
Repair
Keep the existing product when users still get value from it and the code can be understood safely. Start with evidence: where the code lives, how the data is organized, what is tested, which outside services it depends on, who can access what, and how updates go live.
- 03
Build
Own the system when device operations shape margin, customer experience, speed, or a product customers pay for. Start with one complete path and the system connections that path cannot work without.
- 04
Wait
Do not turn a changing policy into permanent software. Stabilise the rules, name the workflow owner, and measure the cost of the current process before paying for a product.
Not sure which path is yours? Bring it to a 30-minute call. Leave with the answer in writing.
Choose the right IoT route
| Need | Best-fit service | First boundary to prove |
|---|---|---|
| A complete device-to-user workflow | IoT application development | One device type, user action, and integration |
| Location and custody exceptions | Asset tracking software | Coverage, accuracy, battery, and reconciliation |
| Plant equipment and OT data | Industrial IoT | Protocol access, network zone, and safe authority |
| Shared fleet infrastructure | IoT platform development | Identity, telemetry contract, tenancy, and recovery |
| Facilities and tenant operations | Smart building software | Installed-system access, points, and response owner |
Scope
What belongs in a focused IoT release
Device identity and lifecycle
Provision, authenticate, monitor, revoke, and update a bounded device fleet without shared credentials. Firmware delivery is designed up front: staged OTA rollouts that limit the blast radius of a bad update, rollback triggers that restore the previous version when an update fails, and adoption tracking across the fleet.
Telemetry and state
Validate payloads, handle retries and duplicates, preserve timestamps, and expose current and historical state.
Operating workflow
Turn an accepted event into a clear alert, task, decision, or confirmed command for a named user.
Application interface
Give operators or customers the status, trend, exception, and audit context needed for their job.
Business-system integration
Connect the selected workflow to one ERP, CRM, CMMS, service, or reporting system with failure handling.
Laundromat and coin-laundry operations
The machine completed a cycle. The payment still had no machine: the reader recorded a charge, the gateway retried after a network gap, and the older washer exposed no cycle identifier. The store total looked correct until a refund arrived the next day. A useful system preserves device identity, payment references, arrival time, offline state, and an exception a manager can resolve.
A laundromat operating path starts with a machine and interface inventory: record store, machine, controller, board revision, reader, gateway, protocol, credential, firmware, vendor owner, connectivity, test path, service state, and supported event or command. The device and cycle contract defines machine identity, availability, cycle, programme, price, start and end, fault, door or controller state, event and arrival time, duplicate rule, missing data, and source confidence. Payment reconciliation links provider attempts, authorisations, captures, failures, refunds, chargebacks, settlements, reader, machine, cycle, store, and accounting export, routing unmatched records to a clear owner instead of forcing an inaccurate machine total. The store and technician workflow surfaces machine and reader health, faults, last evidence, lost connectivity, service history, priority, visit notes, parts, recovery, and authorised overrides without hiding an uncertain state. Monitoring and fallback track gateway and vendor availability, delayed events, schema change, device silence, settlement mismatch, alert delivery, operating cost, and safe store procedures when the software or network is unavailable.
Mixed-device telemetry is the hard part: no, software cannot read any washer or dryer. Access depends on the machine model, control board, reader, gateway, protocol, vendor permission, network, warranty, and available documentation. Test the exact hardware revisions and permitted interface before committing; some equipment provides only payment events, coarse status, or no reliable digital interface.
Run the vertical-fit test before signing anything. A coffee-shop POS rings up a sale and forgets it; a laundry order lives for days (drop-off, weigh, wash, fold, pickup), and each stage must be tracked. Cashless payment events must map to specific machine and cycle outcomes so revenue reporting does not drift from real wash activity. Out-of-order machine state must flow into customer-facing availability, and fault state and cycle history should generate maintenance work orders, not just alerts.
Custom laundromat software is justified only when mixed machines, readers, gateways, payment products, or stores create a telemetry, reconciliation, maintenance, or reporting gap that supported vendor products cannot close. A supported machine, payment, or vertical platform is the better default.
How it works
From field workflow to controlled release
- Phase 101
Define the field workflow
Choose the device type, operating decision, users, data owner, authority, and success measure for the first release.
- Phase 202
Prove the device boundary
Test representative hardware, identity, payloads, connectivity loss, timestamps, retries, and firmware constraints.
- Phase 303
Deliver the operating path
Build the ingestion, state, alerts, user workflow, and one business-system integration with monitoring.
- Phase 404
Pilot and establish ownership
Run a controlled fleet, rehearse failure and recovery, measure the baseline, and agree support before expansion.
Risk
What the IoT specification must settle
- Device and firmware contract
- Record payload versions, identity, update responsibility, and what happens when firmware and cloud releases diverge.
- Connectivity and time
- Define buffering, ordering, clock correction, retry, and stale-data behavior for the real field network.
- Authority and safety
- Separate monitoring from control and document who approves commands, limits, override, and rollback.
- Operations after launch
- Assign alert response, credential rotation, fleet support, observability, and incident ownership before rollout.
Scope and price
Scope decides the price, not the device count.
Begin with one device type, one operating workflow, core fleet operations, and one downstream integration.
The first phase proves the device boundary and operating loop before the fleet or feature set expands.
Starting investment
Starts at $10000
More hardware variants, protocols, compliance evidence, control authority, or sites extend the plan. The first phase proves the device boundary and operating loop before the fleet or feature set expands. After a 30-minute call, you get a written build, buy, repair, or wait recommendation plus first-phase direction. Free, whether or not you build with us.
Evidence before expansion
Source-code ownership
Specialist IoT services
- 01
Asset Tracking Software
Location, custody, and movement exceptions across equipment or inventory.
- 02
Industrial IoT
Selected plant and machine data in safe monitoring and maintenance workflows.
- 03
IoT Platform Development
Shared device identity, telemetry, fleet operations, APIs, and tenant access.
- 04
Smart Building Software
Building-system data in facilities, energy, and tenant-service workflows.
- 05
Smartwatch App Development
Companion apps and watchOS experiences for wearables.
Work with us
Bring the device and the decision its data should drive.
Share the hardware interface, expected fleet, connectivity conditions, users, and downstream system. We will identify the smallest field release worth building.
- Scope and cost agreed before work starts. No surprises. No obligation.
- Working prototype within 3 weeks of kickoff.
- Pay by milestone. You see progress before each invoice.
- 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
- All conversations are NDA-protected.
Common questions
It is the software work between connected hardware and an operating outcome. A release may include device identity, provisioning, telemetry ingestion, state, alerts, fleet operations, a web or mobile interface, and integrations with ERP, CRM, CMMS, or other business systems.
Custom software fits when a managed platform cannot support the device lifecycle, protocol, tenancy model, operating workflow, or integration boundary. If the hardware vendor's portal already supports the required users and actions, configuring that product is usually the better first move.
Our core scope is the software and integration layer. We work with representative devices and documented firmware interfaces, and we can coordinate with the buyer's hardware or firmware team. Hardware certification, enclosure design, radio approval, and manufacturing are separate specialist scopes.
We test late, duplicate, missing, and out-of-order messages; clock drift; credential failure; offline buffering; reconnect storms; and staged recovery on representative hardware. The exact test plan follows the field environment and the consequence of delayed or incorrect data.
Scope decides the price. A focused first release covers one device type, one defined workflow, core telemetry and fleet operations, and one integration. More device types, regulated evidence, industrial protocols, control authority, or multi-site rollout increase scope.
We build companion apps that connect to custom BLE hardware using the device's GATT profile: service and characteristic discovery, real-time data streaming, connection state management, background sync, and reconnection logic. We work from your hardware specification and BLE protocol documentation, so the firmware does not have to change to fit an SDK.
The update architecture is designed before development starts, because the bootloader integration cannot be retrofitted cheaply. We build the delivery pipeline, staged rollouts that limit the blast radius of a bad update, rollback triggers that restore the previous firmware when an update fails, and a dashboard showing update adoption across the fleet.
Four questions separate serious vendors from risky ones: does every device get unique, revocable credentials, not shared keys or embedded master keys? Can firmware be updated centrally over the air, with staged rollouts and rollback? Is secure boot supported? And how long are updates promised, in writing, not verbally? A vendor who cannot answer all four is shipping future e-waste.
Ask where the hardware stands: shipping, prototype, or concept. The answer changes the whole plan. Require a demonstration with real devices on real connectivity, not a simulator on office WiFi: unreliable networks are where IoT products fail. Ask how a device is revoked when it is lost, and watch a firmware update roll out to a test fleet. If provisioning and updates need an engineer per device, the product does not scale.
Yes. On the consumer side we integrate Apple HealthKit on iOS and Google Health Connect on Android. For clinical or enterprise deployments, we map wearable data to HL7 FHIR resources so readings flow into Epic, Cerner, or any FHIR-compliant system. The integration approach depends on what the device tracks and what the destination system can receive.
It may cover machine inventory and status, cycle starts and completion, reader or gateway health, cashless payments, refunds, service alerts, technician work, store configuration, customer notifications, revenue reconciliation, and multi-store reporting. A focused build should start with one valuable workflow instead of replacing every vendor system.
No. Access depends on the machine model, control board, reader, gateway, protocol, vendor permission, network, warranty, and available documentation. We test the exact hardware revisions and permitted interface before committing. Some equipment may provide only payment events, coarse status, or no reliable digital interface.
Each attempt needs durable store, machine, reader, customer or token, provider transaction, cycle, settlement, refund, and timestamp references. The system validates amount and currency, detects duplicates, preserves offline or delayed events, and routes unmatched transactions to review rather than forcing an inaccurate machine total.
A coffee-shop POS rings up a sale and forgets it; a laundry order lives for days (drop-off, weigh, wash, fold, pickup), and each stage must be tracked. Cashless payment events must map to specific machine and cycle outcomes so revenue reporting does not drift from real wash activity. Out-of-order machine state must flow into customer-facing availability, and fault state and cycle history should generate maintenance work orders, not just alerts.
A cheap subscription with a high processing rate can cost more than a pricier system with flat processing, and hardware is often the biggest hidden cost. Price the real list, not the headline number: pickup and delivery, driver app, marketing, or branded website often cost more in higher tiers. Ask for month-to-month terms with no setup fee; long contracts and early-termination penalties are common in this space and easy to miss until you want to leave.