IoT full-service: from Rust firmware to platform and customer dashboards.
We build reliable devices, robust data ingestion, and products that scale in the field — including CI/CD, testing, and documentation.
The recurring problem
IoT projects rarely fail on hardware. They fail on process and operations: brittle firmware setups, late testing, unclear releases, and painful cloud migrations.
- Manual device testing becomes the bottleneck
- Regressions are found too late
- Releases become risky and expensive
- Scaling and costs escalate
- Unclear data model / retention
- Missing observability
- OTA becomes mandatory
- Security becomes non-negotiable
- Multi-tenancy and role models
4 layers, one product
End-to-end thinking: engineering cycle + system integration. That’s how a prototype becomes a maintainable product.
Hardware & firmware (Rust) + engineering cycle
Rust firmware, CI/CD, reproducible builds, automated tests (unit/integration/HIL pragmatically), release/rollback strategy, traceability from requirements → tests → releases.
Data ingress
Provisioning, auth, telemetry & commands. Robust even with unreliable connectivity — with an observability baseline.
IoT platform
Custom (e.g. Postgres/TimescaleDB) or ThingsBoard integration/customization — aligned with use case, cost, and time-to-market.
Views & vertical solutions
Dashboards and production-ready customer views, roles/multi-tenancy, alerts/reports, and integrations into existing processes.
Service packages
Package 1: Rapid IoT Prototype (in days)
After the first call, we deliver a demo-ready slice (device → ingress → platform → view) that becomes the foundation for delivery.
Package 2: Firmware engineering & security review
CI/CD, test strategy, security baseline, OTA process, and docs/traceability — hands-on and pragmatic.
Package 3: End-to-End delivery (project)
From prototype to production-grade operation: observability, OTA, scaling/cost, and integrations.
Typical starting points
Legacy firmware, new product goals
Unstable builds, manual hardware testing, fragile releases, unclear ownership.
Cloud migration & platform pain
The platform doesn’t scale, costs too much, or is hard to operate.
Pilot to fleet
OTA, security, observability, data modeling, and multi-tenancy become critical.
Experience from industrial IoT work
Experience from an anonymized customer project (ASPION context): focus on maintainable engineering processes and production-grade system integration — not a one-off demo.
Contact
Send us: (1) device/MCU, (2) connectivity (BLE/WiFi/LTE/LoRaWAN, MQTT/HTTP/…), (3) what should be visible after 4 weeks.