Custom IoT software development services · EonTech Poland

Custom IoT software development services,
device to cloud.

EonTech is a Poland-based nearshore engineering partner for custom IoT software development services. We build the software half of connected products — firmware bridges, edge and gateway software, cloud ingestion, device management, OTA, APIs, dashboards, and mobile companion apps — under one contract, with senior EU engineers, and you keep the code.

  • Device + edge + cloud + apps, one contract
  • Senior EU teams · your time zone
  • GDPR · ISO 27001 · IEC 62443-aware
Device → Cloud
End-to-end IoT platforms under one contract
Senior only
Engineers who have shipped connected products in production
Your IP
Firmware bridges, cloud, apps, and models stay yours

Why this page exists

A working guide to custom IoT software development at EonTech

IoT is really six or seven disciplines wearing one badge — device firmware, edge compute, network engineering, cloud ingestion, security, mobile apps, and analytics. Most connected-product programmes fail not because any one layer is bad, but because the seams between them are owned by different vendors and no one owns the whole pipeline. The device team blames the cloud team, the cloud team blames the mobile team, and the platform hits the pilot fleet six months late with a bill twice the size of the estimate.

EonTech is a Poland-based full-cycle engineering agency: custom software development, web and mobile, cloud and DevOps, QA, and custom AI/ML model development. Our custom IoT software development services extend that team into the software layers of connected products — deliberately not into deep safety-critical firmware, which belongs to specialist Tier-1 suppliers. Everything above that boundary can live under one contract with one accountable escalation path.

The rest of this page is a practical brief for CTOs, product leads, VP Engineering, and non-technical founders comparing a specialised nearshore IoT partner against generic offshore vendors, big-consultancy engagements, or DIY hiring. Everything below is drawn from real delivery — no fabricated case studies, no stock statistics.

Key benefits

Why buyers pick a specialised custom IoT software development services partner

Six practical reasons EU and UK product teams choose EonTech for the software layers of a connected product over a stitched multi-vendor stack.

  • One partner, whole stack

    Edge, ingestion, cloud, mobile companion apps, dashboards, and custom AI live under one contract. No handoff between a hardware vendor, a cloud shop, and a mobile agency — the seam where most connected-product programmes lose their timeline.

  • Built for scale from day one

    Streaming ingestion, back-pressure, hot/cold storage, and idempotent commands are designed in before the pilot fleet ships. The platform still works when the fleet grows from 200 devices to 200,000.

  • EU nearshore delivery

    Poland-based senior teams with full-day CET overlap for the UK, EU, and Nordics, and half-day for US East Coast. Real-time reviews, pair sessions, and standups during your working day.

  • Edge-aware, offline-first

    Field devices lose network. Warehouses have concrete walls. Farms have no signal. We design the whole pipeline — device, gateway, cloud — assuming the link is flaky, not perfect.

  • GDPR and OT-security-native

    Personal data (users, drivers, patients) is minimised and logged; OT-network segmentation follows IEC 62443 thinking. DPAs and SCCs are ready to sign; your CISO gets audit evidence, not talking points.

  • You own everything

    Firmware bridges, cloud services, mobile apps, trained models, dashboards, and documentation are yours from commit one. No proprietary hub, no vendor-controlled data plane, no lock-in when the contract ends.

Architecture layers

Eight layers custom IoT software development actually spans

"IoT platform" is a shorthand for eight distinct software layers, each with its own vendors, tradeoffs, and failure modes. These are the layers we design, build, and operate — under one contract.

  • Device firmware bridges. We wrap or extend your existing device firmware and gateway code — Zephyr, FreeRTOS, ESP-IDF, Nordic, Yocto Linux — so it speaks reliably to the cloud. Deep safety-critical firmware belongs to specialist Tier-1 partners; we integrate cleanly with what they ship.
  • Edge & gateway. AWS IoT Greengrass, Azure IoT Edge, custom Linux gateways, or Docker on-device. Local processing, buffering, filtering, and inference so upstream cost and latency stay honest.
  • Protocols & connectivity. MQTT (v3.1.1 / v5), OPC-UA, CoAP, Modbus, LoRaWAN, NB-IoT, LTE-M, Zigbee, Matter, BLE. Cellular fleets, WPA2-Enterprise Wi-Fi, and private APNs supported.
  • Ingestion & streaming. AWS IoT Core, Azure IoT Hub, GCP IoT (via Pub/Sub), or open source — Kafka, MQTT brokers, TimescaleDB, InfluxDB. We pick based on volume, budget, and where the rest of your platform lives.
  • Device management & OTA. Provisioning, identity, staged rollouts, OTA update campaigns, rollback triggers, telemetry-driven success signals. Because deploying a bad firmware to 10,000 devices is a very expensive mistake.
  • Cloud services & APIs. Command dispatch, digital twins, business rules, and typed APIs for the rest of your product to consume. Built to handle idempotency, retries, and duplicate messages that the real world guarantees.
  • Mobile & web dashboards. iOS and Android companion apps for end users and technicians; React/Angular dashboards for operators, supervisors, and support. All sharing one design system with your platform.
  • Analytics & custom AI. Predictive maintenance, anomaly detection, energy optimisation, and vision quality — trained on your own device data and run inside your compliance boundary, not through a third-party inference API.

How it works

A five-step arc from device to production platform

IoT programmes reward teams that ship a thin end-to-end slice fast rather than a two-quarter architecture theatre. This is the arc we run.

  1. 01

    Discovery & data audit

    We map the device fleet, the signals, the network reality, and the integrations already in place. The output is a written architecture brief, a scoped first milestone, and an honest risk register — before the first sprint.

  2. 02

    Architect the pipeline end to end

    Device, edge, ingestion, storage, APIs, apps, and observability are designed together, not in sequence. The tradeoffs live in a decision log you can audit later — not in someone's head.

  3. 03

    Ship a working slice fast

    The first release is a thin end-to-end slice — one device type, one telemetry stream, one dashboard — running in production. Better than a two-quarter architecture theatre with nothing to point at.

  4. 04

    Scale, harden, and add intelligence

    Grow the fleet, add device types, layer in OTA campaigns, wire up predictive-maintenance or vision models, and tighten observability. Each release is a small, reversible change.

  5. 05

    Operate or hand over

    You take the platform in-house with documented runbooks, or we keep operating it under a managed engagement. Either way, no lock-in — the pipeline is yours to run.

Engagement models

Four honest shapes for an IoT engagement

No single model fits every buyer. Here is how an engagement usually starts at EonTech — and how it evolves once trust and scope are proven.

  • Full-project delivery

    You bring the connected product and constraints; we run discovery, design, build, integration, and go-live. The classic shape when you need a partner, not a body shop.

  • Dedicated IoT pod

    A self-directed squad — device/edge engineer, cloud engineer, mobile, data, and lead — owns a product area end to end under your roadmap.

  • Staff augmentation

    Senior IoT engineers plug into your existing team under your management. Ideal when your leadership bench is strong and you need vetted capacity fast.

  • IoT pilot & feasibility

    A fixed-scope four-to-eight-week pilot that proves the whole pipeline on a small fleet before you commit to production rollout.

Built in by default

Features that survive the messy real world

IoT devices lose network, duplicate messages, catch up out of order, and receive commands at the wrong time. These are the features that make sure your platform still behaves.

  • Idempotent commands

    Duplicates from flaky links do not double-dispense, double-charge, or double-actuate.

  • Backfill & catch-up

    Devices that were offline for hours or days catch up cleanly without breaking downstream analytics.

  • Digital twins

    Device state, desired state, and reported state modelled so the API is truthful even when the network is not.

  • Fleet-wide OTA campaigns

    Cohorts, staged rollouts, automatic rollback on failure signals, and evidence trails auditors accept.

  • Cost-aware ingestion

    Message volumes tuned before they become a monthly cloud-bill surprise.

  • Observability everywhere

    Device health, gateway health, pipeline health, and business KPIs on one dashboard.

  • Role-based access

    Users, technicians, operators, and support each see the right data and controls.

  • Audit-ready logs

    Every command, every OTA campaign, every override recorded and searchable.

Industry relevance

Where our IoT platforms already ship

Domain fluency shortens every architecture decision. These are the buyer shapes our senior engineers already speak — no glossary onboarding.

  • Industrial IoT & manufacturing

    PLC and machine ingestion (OPC-UA/MQTT), rugged mobile companion apps, and predictive-maintenance ML — plant-floor to boardroom telemetry.

  • Smart buildings & facilities

    HVAC, access, occupancy, and energy telemetry unified across a portfolio, with tenant apps and facility-manager dashboards on top.

  • Connected mobility & fleet

    Telematics, driver-behaviour, EV-charging, and route optimisation for vehicles, e-mobility, and micro-mobility fleets.

  • Agritech & precision farming

    Soil, weather, and irrigation sensors plus vision on tractors — low-power, low-signal, high-value telemetry pipelines.

  • Healthtech & medtech

    Connected devices, remote patient monitoring, and PII-strict pipelines under HIPAA and GDPR — with the audit trail regulators expect.

  • Utilities & energy

    Smart metering, grid telemetry, load balancing, and consumer-facing energy dashboards with regulator-friendly evidence.

AI where it pays

From telemetry to intelligence you can trust

The same team that builds the pipeline can train predictive-maintenance, anomaly, energy, or vision models on your own device history — and run inference at the edge where latency demands, or in the cloud where scale does.

Every prediction is explainable and logged. Every model runs inside your compliance boundary. Nothing about your fleet leaks into shared third-party inference APIs by default.

See our AI/ML practice

Trust & compliance

The signals procurement and CISOs check for

IoT programmes touch personal data, OT networks, and long-lived devices in the field. That combination is why procurement, CISOs, and regulators scrutinise them harder than plain SaaS builds. Our delivery is designed to answer their checklists without a pre-audit sprint.

As an EU-based partner we sign standard DPAs and SCCs, provision access via your SSO, and hand over the evidence your CISO's team actually asks for — not glossy talking points.

Why EonTech

A partner for the whole pipeline

  • One partner

    Edge, cloud, mobile, and custom AI under a single accountable team.

  • Senior only

    Engineers who have shipped connected products, not learners on your budget.

  • Your time zone

    A Poland-based team that overlaps your working day and meets EU data rules.

  • You own it

    Every layer of the pipeline is yours to run, audit, and extend.

Common questions

What teams ask before an IoT engagement

  • What do you mean by custom IoT software development services — do you build firmware too?

    Our custom IoT software development services cover device firmware bridges, edge/gateway software, cloud ingestion, device management, OTA, APIs, dashboards, and mobile companion apps. Deep safety-critical firmware or hardware bring-up belongs to specialist Tier-1 partners; we integrate cleanly with what they ship and extend the software layers around it.

  • Do I need to be on AWS, Azure, or GCP to work with you?

    No. We build on AWS IoT (Core, Greengrass, SiteWise), Azure IoT (Hub, IoT Edge, Digital Twins), GCP (Pub/Sub, Cloud IoT successor patterns), and open-source stacks — MQTT brokers like EMQX and HiveMQ, Kafka, TimescaleDB, InfluxDB. We fit your platform preference and your procurement reality.

  • Which protocols and connectivity options do your custom IoT software development services cover?

    MQTT (v3.1.1 and v5), OPC-UA, CoAP, Modbus, HTTP/webhooks; LoRaWAN, NB-IoT, LTE-M, Zigbee, Matter, BLE, Ethernet, and Wi-Fi (including WPA2-Enterprise and private APNs on cellular). We match the protocol choice to power, range, and cost — not to what a vendor is selling.

  • How do you handle over-the-air (OTA) updates for a live fleet?

    Staged rollout by device cohort, telemetry-driven success signals, automatic rollback triggers, and full campaign audit logs. Deploying a bad firmware to 10,000 devices is one of the most expensive mistakes an IoT programme can make; the process is designed to make it hard to do accidentally.

  • What does an IoT pilot cost and how long does it take?

    A fixed-scope pilot — end-to-end pipeline on a small fleet — typically runs four to eight weeks with a small dedicated pod. Pricing is transparent, milestone-based, and does not require a multi-year commitment to the follow-on production build.

  • Can you build the mobile companion app for our connected product?

    Yes. Native iOS/Android or cross-platform (React Native / Flutter) companion apps for end users, technicians, and installers, sharing the same design system, tokens, and API contracts as the dashboards. Onboarding flows for provisioning devices are a specific practice we ship often.

  • How do you handle security across device, edge, and cloud?

    TLS with mutual auth, per-device credentials with rotation, least-privilege IAM, hardened OTA channels, and secrets isolated from application code. On the OT side, we follow IEC 62443 thinking for network segmentation. Your CISO gets audit evidence, not just talking points.

  • Can you add AI/ML to an existing IoT platform?

    Yes. We assess data first — quality, coverage, labels, latency — then propose the models that can realistically pay back the operational overhead. Common wins: predictive maintenance, anomaly detection, energy optimisation, and vision quality. Everything runs inside your compliance boundary, and the models are yours.

  • What about cost — IoT platforms are known for surprise cloud bills.

    We tune message volumes, use edge filtering, and pick storage tiers deliberately. Every architectural decision comes with a rough per-device monthly cost estimate so you know what a 10x fleet growth means for the bill before you commit to it.

  • Do you handle certification (CE, FCC, radio) work?

    Certification of the hardware is a specialist domain we do not own. We work alongside your certification partner: the software we ship (firmware bridges, OTA process, security posture) is designed to align with the evidence they need, so certification is not blocked by a broken release process.

  • Which team shapes can you field?

    Full-project delivery, dedicated IoT pods, staff augmentation with senior IoT engineers, or a short fixed-scope pilot before you commit. Monthly rolling contracts, no long lock-in, no captive vendor arrangements.

  • How is EonTech different from a generic offshore IoT vendor?

    Most offshore vendors ship a slice — either firmware, or cloud, or apps — and leave the seams to you. Our custom IoT software development services cover the whole pipeline under one contract, delivered by an EU-nearshore senior team with GDPR-native posture. Fewer vendors, fewer meetings, one accountable escalation path.

Ship a connected product that survives the field

Tell us the devices, the network reality, and the platform you already run. We will scope a fixed first milestone in days, then start shipping an end-to-end IoT pipeline — device to cloud, dashboard to companion app.