From connected object to Cloud
You're not buying a technology. You're buying an outcome: a prototype that becomes a product, a sensor that becomes a business application, a PoC that becomes a large-scale rollout.
Who it's for: you have a connected-product idea that isn't scoped yet, a prototype, an ongoing IoT project, an aging system, or a PoC that never made it to production.
What you get: a clear diagnosis — whether you're starting from an idea or an existing prototype, a concrete plan to move toward an exploitable product.
- Needs and use-case analysis (even with no prototype yet)
- "Make or buy" strategy: build custom or rely on off-the-shelf building blocks
- Assessment of the existing setup (hardware, firmware, connectivity, backend), if applicable
- Identification of technical risks and grey areas
- Prioritized roadmap toward industrialization
- Mechanical prototyping capability (3D printing) to speed up solution validation
Format: short engagement, fixed scope — the ideal entry point before a larger project.
Who it's for: you have an existing product that needs to scale.
What we take care of:
- Firmware
- LoRaWAN / BLE / Wi-Fi connectivity
- Backend & API
- Cloud & monitoring
- OTA updates
- Security
- Field deployment
Format: scoped project, from a few weeks to several months depending on complexity.
Who it's for: you manage (or want to manage) a fleet of connected devices and need a dedicated platform.
What it covers:
- Equipment management
- User management
- Telemetry & alerts
- API
- Dashboard & supervision
- Maintenance & history
A modern architecture, notably on AWS
| Building block | Role |
|---|---|
| Device ingestion | Secure device connectivity |
| Edge processing | Local compute, network resilience |
| Event processing | Rules, transformations, alerts |
| Telemetry storage | Time series, history |
| File/media storage | Firmware, logs, exports |
| Visualization & supervision | Dashboards, alerting |
| Identity & access | User/device authentication |
Hybrid or on-premise alternatives are possible depending on data-sovereignty or cost constraints — the architecture adapts to your context, not the other way around.
Data, ready for AI
Every piece of collected data is structured at the source so it stays usable: clean history, consistent metadata, standard formats. The result: your data doesn't just feed a dashboard — it can later power predictive-maintenance models, anomaly detection, or usage analytics.
Note: our existing platform subscription (multi-year commitment) is the seed of this offer; it evolves into a standardized product as parts of the platform get productized.