%20(1).svg)
We connect hardware to software end to end. Bluetooth Low Energy, Wi-Fi, cellular, edge computing, MQTT, OPC UA: our team knows the protocols that matter for your device category.
Raw sensor data has limited value on its own. We layer machine learning models on top of IoT streams to build predictive maintenance systems, anomaly detection pipelines, and usage-pattern models that turn data into decisions.
Device onboarding is where consumer IoT products lose users. We design and build pairing flows, error states, and first-run experiences that reduce setup drop-off and generate the reviews that drive retail distribution.
We've integrated with PLCs (Siemens, Allen-Bradley), SCADA systems, and industrial sensors using OPC UA. We also build the API bridges that connect OT data to ERP and cloud systems without requiring a full OT/IT network overhaul.
For applications where cloud round-trips are too slow (medical monitoring, quality control, safety systems), we build edge inference pipelines that process data locally and sync to the cloud asynchronously.
IoT devices expand the attack surface of any product. We build in device authentication, encrypted data transmission, role-based access controls, and OTA update pipelines that don't create security regressions.
They can cover an extensive breadth of solutions across the product development lifecycle.
They are quick to implement features and seem to always be reachable and responsive to any of our needs.
Not every project we take on starts as a published case study. These are the use cases IoT founders and engineering teams ask for most, each one a production build scoped to your hardware and deployment environment.
We have production experience with Bluetooth Low Energy (BLE), Wi-Fi, cellular (LTE-M, NB-IoT), MQTT, CoAP, OPC UA, Modbus, and Zigbee. The right protocol depends on power budget, latency requirements, and deployment environment. We scope this in discovery. For a broader overview, see our guide to understanding IoT.
Yes. Most of our IoT engagements start with hardware that exists. We build the firmware hooks, mobile companion apps, cloud backend, and analytics layer around it. If hardware design is also needed, we have partners we work with for that phase.
We build OTA update pipelines that include staged rollouts, rollback capability, and cryptographic signature verification. Pushing broken firmware to deployed devices is one of the most damaging IoT development failure modes, and we build around it from the start.
Retail requires a polished onboarding experience, App Store compliance, carrier-grade reliability, and often FCC/CE certification. We've shipped devices to Target and know what the review process looks like. We build the app experience that survives the spike in support load that comes immediately after launch.
Consumer IoT app and cloud backend typically runs $100K to $200K. Custom IoT software development for industrial platforms with ERP integrations and ML pipelines ranges $200K to $500K and above. We scope precisely in discovery so you have a fixed budget before development starts.
Create IoT and Smart Device solutions that are stable and future-proof with the help of our experts. Your team can focus on serving your customers and let us handle the behind the scenes technical challenges. Our proven process is backed by over 150 successful AI projects for industry leading companies.
Meet with founders Andrew Amann & Pavel Kirillov
Custom AI implementation roadmap
No sales pressure
