IoT Development Services for Everything Above the Device

Connected estates rarely fail at the device. They fail at ingestion that cannot absorb a reconnection storm, telemetry that arrives late and out of order, and a fleet nobody can update. Our IoT development services cover that layer, and we say plainly that firmware and hardware are not ours.

Describe Your Estate

What we do not build

Clutch 5.0GoodFirms 5.0Google 4.3Upwork 4.8

Where a Connected Estate Actually Breaks

The device is the part everybody worries about and the part that is usually fine. The failures cluster somewhere else entirely.

Devices go offline, and when connectivity returns they all reconnect at once and send everything they buffered. An ingestion path sized for the steady state falls over at exactly the moment the data matters most. That is the single commonest failure in connected estates and it is a capacity design question rather than a device question.

The second is time. Messages arrive late, out of order, occasionally twice, and sometimes with a device clock that is wrong. Any system that assumes arrival order is correct will produce quietly incorrect history, and correcting that later means reprocessing everything. Both of these get designed for at the start here, because retrofitting either is close to a rebuild.

Devices already in the field sending to something nobody owns. A hardware partner who built the product and stopped at the cloud. A pilot of fifty units that has to become five thousand. Aipxperts asks how many devices, how often they send and what happens when they all come back at once, because those three answers set the architecture.

Once the telemetry has to become reportable, that is data engineering; if the point of the data is prediction, it is machine learning.

The Firm Above the Device Layer

Connected estates run for years and get inherited, so the depth behind the platform decides what happens at scale. These are company-wide numbers.

100+

Software Engineers

500+

Solutions Delivered

30+

Industries Served

95%

Client Retention

120+

Clients Worldwide

3

Unicorn Products

The Layer We Build, Piece by Piece

Everything here sits above the device. What sits inside it is firmware, and that is named plainly further on as not ours. These IoT development services stop at the device boundary.

Ingestion and Connectivity Architecture

The path from device to platform, sized by our engineers for the reconnection storm rather than the steady state, using a managed platform where one fits. It is designed for every device reconnecting simultaneously after an outage, which is when the data matters most and when naive designs fail.

Device Identity, Provisioning and Fleet Management

How a device is registered, authenticated, grouped and decommissioned, and how we rotate a credential across thousands of units. The design assumes the device that is stolen, resold or returned: every estate has some, and most designs assume none.

Telemetry Storage and Time-Series Design

Where readings land, at what resolution, retained for how long, and how the cost behaves as the fleet grows. We design against the storage bill in year three, which is set by decisions made in week two.

Command, Control and Over-the-Air Update Orchestration

Sending instructions and updates to a fleet, staged by us, with the ability to stop a rollout that is going wrong. It is designed for the update that bricks devices, where a staged rollout and a halt path are the difference between an incident and a catastrophe. We orchestrate the rollout; the update payload itself is your firmware team’s.

Dashboards, Alerting and Operator Applications

What the people running the estate actually look at, on the devices they use, including in places with poor connectivity. Our design targets an operator on a warehouse floor or at a site, not an analyst at a desk.

Platform Integration and Migration

Building on a managed platform, or moving off one that has become expensive or limiting. We design for portability, because a device fleet locked to one provider’s protocols is expensive to move later.

Estate Rescue and Handover

Taking on an estate somebody else built, with our engineers establishing what is actually connected, what has silently stopped reporting, and what nobody can update. Every rescue produces the same finding: a set of devices that stopped sending months ago and were never missed.

Connected Estates, and What the Ingestion Had to Survive

Device count is the least interesting number here. What matters is peak message rate and what happened at the first mass reconnection.

See All Work

Operators Whose Fleets We Connected

The product and operations leaders running our connected fleets describe the work in their own words.

Reviewed on Clutch
Hardik was very helpful in advice and completing the work.
TomAustralia
Reviewed on GoodFirms
We have contracted a developer from Aipxperts now for several months, based on a referral. We have been very pleased with the quality of the work, the knowledge and skill level of our developer, and the value we're receiving for our fee. We also very much appreciate that the development team works at night (effectively), so we are sometimes able to turn client requests around in a day.There have been a couple of situations where we needed urgent help outside of our developer's normal business hours, and we've received that help (for which I am very grateful). While we have some challenges with communication sometimes, our overall satisfaction level is very high.
Jason LancasterPresident, Spork Marketing

How Device Economics Change by Sector

Device economics differ enormously by sector, and they decide almost everything about how IoT development services get scoped.

Energy and utilities

Large fleets, long lifespans, and readings whose gaps are meaningful rather than merely missing. Devices installed today will outlast several generations of the software reading them, so we design the energy platform to be replaceable underneath them.

Manufacturing

Plant sensors at high frequency on networks never designed for it, where the constraint is often what the site will permit rather than what the platform can absorb. We establish that permission before sizing anything on manufacturing estates.

Logistics and warehousing

Trackers and handhelds moving in and out of coverage constantly, so our design treats buffering and reconnection as the normal state rather than the exception on logistics fleets.

Automotive and dealer networks

Vehicle telemetry with intermittent connectivity, meaningful data volumes per unit, and an update process where a failed rollout is a physical recall problem. We stage every automotive rollout with that in mind.

Health and fitness

Consumer wearables where the device belongs to the user, connectivity depends on their phone, and gaps look identical to genuine inactivity. Our model separates the two on health and fitness estates.

Telecom

Network and customer-premises equipment across many sites with no technical staff at any of them, so we make remote diagnosis and self-recovery the whole operational design on telecom estates.

Food delivery and distribution

Cold chain monitoring where a temperature excursion is a compliance event, which is why we prioritise retention, timestamp integrity and alerting over dashboard sophistication on food delivery work.

What We Do Not Build, Stated Before You Ask

Connected products span several disciplines and no supplier holds all of them. Being explicit about the line is more useful than a capability list.

Firmware and embedded software are not oursThe code running on the device is written by your hardware partner or your own embedded team. We integrate with it, we specify what it needs to send and how, and we orchestrate its rollout. We do not write it, and any supplier offering the whole stack at this price is subcontracting a part of it without saying so.Hardware design, certification and manufacturing are not oursBoard design, enclosure, radio certification and production are a different industry with different economics. Where a project needs them, that is a hardware partner and we will say so on the first call.What we do own, completelyEverything from the moment a message leaves the device: ingestion, identity, storage, command and control, update orchestration, the applications people use and the integrations into your other systems. That is a substantial scope and it is where most connected products actually fail.Why the split is worth stating rather than blurringA supplier who claims the device layer and does not have it will discover the gap at the point where it costs most, which is after devices are in the field. The honest arrangement is two suppliers with a written interface between them, and that interface is something we will help specify.The question that decides whether we are the right supplier at allWho writes the firmware. If the answer is nobody yet and the product does not exist, you need a hardware partner before you need us, and the sequence matters.

The Stack Above a Device Estate

The ingestion, identity, time-series and application tooling our engineers work with above a device estate. Where a managed platform fits the fleet, we build on it rather than assembling an equivalent from parts.

Device and hardware layer

Real-time behaviour and power draw are decided here, which is why the board and RTOS choice comes before anything else.

FreeRTOSEmbedded LinuxZephyrESP32STM32arduinoArduinoraspberrypiRaspberry PiBeagleBone

Connectivity and protocols

Chosen against range, payload and battery budget rather than by default, and documented with the numbers behind the call.

mqttMQTTCoAPHTTPSAMQPWebSocketsbluetoothBluetoothWi-FiLoRaWANzigbeeZigbeezwaveZ-WaveThreadNB-IoT5GSigfoxModbusOPC UACAN busBACnet

Edge computing

For sites where sending everything to the cloud is neither affordable nor reliable.

dockerDockerpythonPythonnodedotjsNode.jscplusplusC++amazonwebservicesAWS IoT GreengrassmicrosoftazureAzure IoT EdgenvidiaNVIDIA JetsonBalenaEdgeX Foundry

Cloud and IoT platforms

Device registry, ingestion and serverless processing, sized to the fleet count you expect rather than the one you start with.

amazonwebservicesAWSmicrosoftazureMicrosoft AzuregooglecloudGoogle CloudamazonwebservicesAWS IoT CoremicrosoftazureAzure IoT HubThingsBoardawslambdaAWS LambdamicrosoftazureAzure FunctionskubernetesKubernetes

Data engineering and analytics

Turning device streams into queryable history your operations team can act on.

apachekafkaApache KafkaamazonwebservicesAmazon KinesisrabbitmqRabbitMQapachesparkApache SparkapacheflinkApache FlinkInfluxDBTimescaleDBmongodbMongoDBpostgresqlPostgreSQLredisRedissnowflakeSnowflakepowerbiPower BItableauTableaugrafanaGrafana

AI and intelligent systems

Models trained on telemetry and deployed where latency and cost allow, at the edge or in the cloud.

tensorflowTensorFlowtensorflowTensorFlow LitepytorchPyTorchscikitlearnscikit-learnONNX RuntimeamazonwebservicesAmazon SageMakerAzure Machine LearninggooglecloudGoogle Vertex AI

Application and integration layer

The interfaces your users and business systems touch, wired to the same device model as the firmware.

nodedotjsNode.jsNETopenjdkJavagoGopythonPythonreactReactangularAngularvuedotjsVue.jsreactReact NativeflutterFlutterswiftSwiftkotlinKotlinRESTgraphqlGraphQLgRPCWebhooks

Security and device management

Identity, encryption and lifecycle control across the fleet, designed in rather than retrofitted after a review.

AESTLSDTLSletsencryptX.509 certificatessecure bootOAuth 2.0amazonwebservicesAWS IoT Device ManagementmicrosoftazureAzure Device Provisioning Service

Scores From Estates Still Reporting

The reference worth asking for is a client whose estate went through a mass reconnection. Steady-state operation tells you nothing about how a connected system was designed.

Upwork4.8150 reviewsClutch5.012 reviewsGoogle4.335 reviewsGoodFirms5.05 reviews

Device Identity, Telemetry and What the Estate Reveals

Connected estates generate data about places and sometimes about people, which raises questions a purely internal system does not. Regulated IoT data carries obligations well beyond the device: we build to GDPR for telemetry that identifies a person or household, and to HIPAA for connected clinical monitoring. Where AIoT models influence decisions about people, we apply published AI governance and transparency standards.

GDPRHIPAAX.509 device identitySigned OTA updates with rollbackEU AI Act risk classificationAI ethics guidelinesModel transparency and interpretabilityExplainable AI (XAI) practice

How an Estate Gets Built, and What Each Stage Sizes

Each stage of our IoT development services sizes something. Connected systems fail on capacity and on time handling far more often than on features, so the sizing is the work.

01Fleet profile and message budgetHow many devices, how often, how large, and what the peak looks like when everything reconnects at once, established with us before anything is designed. It sizes the ingestion path, which is the decision most connected projects get wrong.02Identity and provisioning modelHow devices are registered, authenticated, grouped and decommissioned, at the scale the fleet will actually reach. We size the operational burden here: manual provisioning is fine at fifty units and impossible at five thousand.03Time and ordering designLate arrival, out of order, duplicates and unreliable device clocks, handled by our engineers as the normal case. This sets the reprocessing cost, and getting it wrong means recomputing history later.04Storage, resolution and retentionWhat is kept, at what granularity, for how long, and what it costs at fleet scale in year three. We size the recurring bill at this stage, and it is very hard to reduce afterwards.05Command, control and update orchestrationInstructions and staged updates go out with approval and a halt path we test rather than describe. That sizes the blast radius of a bad update, which is the risk that turns a software problem into a physical one.06Applications and alertingWhat operators see, where they see it, and what actually reaches somebody when a threshold is crossed. Our choices here set the alert volume, which decides whether the system gets watched or ignored.07Scale test and handoverLoad tested by us against the fleet size you are planning for rather than the one you have, with runbooks handed over. What it sizes is confidence: an estate tested only at pilot volume has not been tested.

What Gets Asked About a Connected Estate

Some of these are scope questions, and they decide whether IoT development services are the right thing to be doing at all.

Share your project vision

Tell us what you want to build. A specialist, not a salesperson, replies.

PDF, DOC or image, up to 10MB. Optional.
My idea is confidential – happy to sign an NDA.

No. The code on the device is your hardware partner’s or your embedded team’s. We integrate with it, specify what it should send and orchestrate its rollout. Any supplier offering the whole stack at this price is subcontracting a layer without telling you.

Not first. You need a hardware partner before you need us, and the sequence matters because the device decisions constrain everything above them. We can help specify the interface between the two of us, which is worth doing before either build starts.

Fleet size and message frequency, then how much of the estate already exists, then retention. The application layer is often the smallest part, which surprises clients who priced the dashboards.

A managed platform for most fleets, because identity, provisioning and ingestion are solved problems and rebuilding them is expensive. Where volume makes the platform bill dominate, that arithmetic changes, and it is worth modelling before committing.

That is the case the ingestion is sized for. Devices buffer and then send everything at once, and a path sized for the steady state fails at exactly that moment. It is the single most common connected-estate failure.

Designed for from the start: event time separated from arrival time, idempotent handling of duplicates, and correction rather than overwrite. Assuming arrival order produces quietly incorrect history that is expensive to fix later.

Yes, and the first deliverable is establishing what is actually connected. Every rescue turns up devices that stopped reporting months ago and were never missed, which is itself the argument for the monitoring.

We orchestrate the rollout with staging, approval and a halt path. The payload is your firmware team’s. A bad update pushed to a whole fleet at once is the worst outcome available in this category and staging is what prevents it.

You do. Cloud accounts, telemetry and applications in your name, and device credentials under your control.

When the devices do not exist yet, when the data being collected would not change any decision, or when a fleet is small enough that somebody reading a display is genuinely cheaper. All three come up on first calls.

Tell Us the Fleet Size and How Often Devices Send

Those two numbers, plus who writes the firmware, settle most of the scoping conversation. Back comes a view on the ingestion approach, whether a managed platform fits, roughly what storage will cost at scale, and whether you need a hardware partner before you need us.

Send Us the Fleet Size

Written From the Telemetry Layer

Our engineers and consultants write up what they learn on live projects: architecture decisions, model evaluation results, and the trade-offs behind them. Written for the people who will implement them.

What Sits Above the Telemetry

A connected estate is a data platform with devices attached, so most of what follows it is on these pages.

Data EngineeringSoftware TestingMachine Learning DevelopmentCloud ConsultingMobile App DevelopmentCybersecurity Consulting