For hardware manufacturers & deep-tech companies

IoT app development for connected products.

Mobile apps that make connected devices useful: onboarding, live device data, control, synchronization and cloud integration: engineered for the moments when the network isn't there.

The data path we engineer
IoT device
IoT app
Your cloud
An IoT app is not an interface. It's the place where device data, connectivity, cloud state and user expectations have to agree.
Who this service is for

The device ships data. Can your users act on it?

Typical starting points for an IoT app engagement:

The hardware and cloud exist: the app that connects them convincingly doesn't.
Onboarding works for your engineers: not for your customers.
The app shows yesterday's values whenever connectivity drops.
Device, app and cloud each hold a different version of the truth.
The pilot ran on ten devices: production means thousands.
The current app was built as an afterthought to the hardware.
Insight
For most connected products, the app is the product experience. Users never see your firmware or your cloud: they see whether the number on screen is current and true.
What the service includes

From first pairing to daily use.

Onboarding

Device onboarding & provisioning

The first ten minutes: discovery, pairing, Wi-Fi provisioning, account linking: designed so customers succeed without a manual.
Data & control

Device data visualization & control

Live values, history and device control with honest state: what's current, what's cached, what's still syncing: UX for technically complex products.
Cloud

Cloud & backend integration

Integration with your existing platform: REST APIs, authentication, accounts, push: or a deliberate plan for the backend the product still needs.
Sync

Offline & online synchronization

Offline-first data architecture: local cache as the app's source of truth, queued changes, explicit conflict handling when systems disagree.
Lifecycle

Background & lifecycle behavior

Android background limits, notifications, battery discipline: the app keeps its promises when it isn't on screen.
Accounts

Multi-device & account structure

Several devices per account, sharing and roles where the product needs them: modeled once, so it doesn't have to be retrofitted.
Connected-product architecture

Data has to survive the whole path.

A value measured on the device is only useful if it reaches the screen: current, attributed and trusted. Every hop is a place where that promise can quietly break.

The pilot that "mostly works"

IoT device
IoT app no offline cache
Backend
Cloud stale mirror

The data path we build instead

IoT device
IoT app offline-first
Backend
Cloud

Blue = the recommended architecture. Red is reserved for failures.

Where we apply it

Different devices, same engineering discipline.

Industrial IoT

Machines & equipment

Apps for technicians and operators: diagnostics, configuration, service workflows: usable with gloves on, reliable in halls with hostile radio conditions.
Wearables

Body-worn devices

Continuous BLE sync under the strictest constraints: battery, background execution, small data windows: where sloppy connectivity is felt within hours.
Connected devices

Smart products & appliances

Consumer and professional devices where onboarding, household sharing and everyday reliability decide reviews, and therefore sales.
Problems we help solve

What breaks between device, data and user.

Users don't trust the numbers

Stale or contradictory data breaks the product's core promise. Honest sync state: current, cached, pending: restores it.

Onboarding drop-off

Customers who fail at setup return the device before seeing its value. Provisioning deserves the same engineering as the firmware.

Offline means broken

Connected devices live in basements, fields and factory halls. An app that requires perfect connectivity fails daily: quietly.

Background behavior on Android

Doze, process death and OEM battery managers silently stop naive apps. Background sync has to be designed for the OS, not against it.

Battery drain from connectivity

Aggressive polling and reconnect loops show up in phone battery stats: with your product's name next to them. Uninstall follows.

Cloud coupled too tightly

When every screen depends on a live API, every cloud incident becomes an app outage. Local-first architecture contains the blast radius.

How we work

Assessment before architecture. Architecture before code.

01 / Understand

Product & data assessment

Device capabilities, protocol, cloud APIs and user workflows reviewed as one system: what the app must guarantee, and to whom.
02 / Plan

Risks & dependencies, named

Connectivity gaps, sync conflicts, backend constraints: each tied to its business consequence and sequenced into a defensible plan.
03 / Design

Data & app architecture

Offline-first data flow, device state model, API contracts and UX for honest system state: decided and documented before implementation.
04 / Build

Incremental development & integration

Working software against real devices and the real cloud from early on: integration boundaries exercised continuously, not at the end.
05 / Launch

Failure testing & production preparation

Weak signal, airplane mode, token expiry, process death: tested deliberately. Then diagnostics, monitoring and release.
06 / Grow

Operation & evolution

Field telemetry feeds the roadmap: new device generations, new features, growing fleets: on an architecture built to absorb them.
From pilot to production

Ten devices in the office prove little about ten thousand in the field.

Scale changes the problem: firmware versions multiply, networks get worse, users get less patient. These are the topics that separate a pilot from a product: we work through them explicitly.

Risk
The expensive IoT failures are rarely dramatic. They're a slow accumulation of stale data, failed syncs and support tickets: until the product's reputation is set.
01Sync conflict resolution
02Firmware / app compatibility
03Real-world connectivity
04Field diagnostics at scale
05Security & privacy
06Offline behavior
07Data migration across versions
08Monitoring
09Fleet scale
10Support readiness
Technical expertise

Depth where IoT apps need it.

Mobile

AndroidKotlinJetpack ComposeBackground processingLocal persistence

Device & data

Bluetooth Low EnergyWi-Fi provisioningDevice onboardingTelemetry handlingDevice state models

Cloud

REST APIsCloud integrationAuthenticationData synchronizationPush notifications

Product architecture

Prototype-to-productionRisk assessmentArchitecture reviewsIntegration strategyProduction reliability
Proof & trust

Grounded in real product work.

15+startups and engineering companies supported
EN · DEengineering and communication in English and German
GmbHGerman company: contracts, invoicing and data handling under EU law

Frequently asked questions

Honest answers to the usual questions.

Can you integrate with our existing cloud platform?

Yes. Most IoT products already have a cloud or backend. We integrate against your existing APIs, authentication and account model, and review the integration first, so surprises surface before development.

Do you build the backend too, or only the app?

The mobile app is the center of this service, but IoT apps don't work in isolation. Where the product needs backend or API work, we take it on or work directly with your backend team.

Do you support Android only, or the broader product architecture?

Android is our engineering core. Beyond the app itself, we work on the broader product architecture: connectivity, synchronization, backend integration: because that's where IoT apps succeed or fail.

How do you handle offline use?

Offline-first: the app holds a local, trustworthy copy of device state, synchronizes when connectivity returns, and makes conflicts explicit instead of guessing. Devices live in basements, fields and factories: the architecture has to assume that.

Can you improve an existing IoT app?

Yes. We start with an architecture and connectivity review of the existing app, then fix causes rather than symptoms: often without a full rewrite.

What do we need to provide to start?

Access to hardware, the device protocol documentation, cloud or API access, and the product goals. A discovery call is enough to determine whether a review or a development engagement fits.

Next step

Discuss the software architecture behind your connected product.

Share your product stage, hardware platform, connectivity setup and main technical challenge. We'll tell you honestly whether an architecture review, a focused integration project, or a broader engagement fits, or whether we're not the right partner.