We design and build complete IoT ecosystems tailored to your industry. Whether you need a standalone device with embedded firmware, a cloud-connected fleet management system, or a real-time analytics dashboard, our team handles every layer of the stack — so you don’t have to stitch together different vendors.
Custom PCB design, microcontroller selection, and production-ready firmware written in C/C++ or Rust. We work with ESP32, STM32, Nordic nRF52, and other popular platforms. Power consumption, OTA update capability, and secure boot are built in from day one.
Scalable cloud infrastructure on AWS IoT Core, Azure IoT Hub, or private servers. We implement MQTT, CoAP, and HTTP/2 messaging pipelines, time-series data storage, alerting engines, and REST / GraphQL APIs for downstream integrations. Deployments are containerized and auto-scaling.
Real-time monitoring interfaces built with React or Vue, with native mobile apps in Flutter or React Native. Dashboards include live charts, device maps, configurable alerts, role-based access, and export capabilities — all white-labeled to match your brand.
IoT requirements vary dramatically between sectors. A medical device must meet regulatory standards a smart shelf never will. We bring domain knowledge to each vertical, shortening your time-to-market and reducing compliance risk.
| Protocol | Range | Best For |
|---|---|---|
| MQTT | Internet | Cloud messaging, low bandwidth |
| BLE 5.x | ~100 m | Wearables, beacons, indoor tracking |
| LoRaWAN | 2–15 km | Agriculture, remote sensors |
| Wi-Fi 6 | ~50 m | High-bandwidth indoor devices |
| Zigbee / Z-Wave | Mesh | Smart home, building automation |
| LTE-M / NB-IoT | Nationwide | Fleet, asset tracking, utilities |
| OPC-UA / Modbus | Local | Industrial PLCs, SCADA integration |
IoT projects fail when hardware and software are designed by separate teams with no shared context. We run a unified process where firmware engineers, backend developers, and UX designers collaborate from day one — cutting rework and integration surprises.
Generic IoT platforms are a reasonable starting point, but they impose limits that become expensive at scale — in licensing fees, integration effort, and the inability to differentiate your product. Here is an honest comparison to help you decide what fits your stage.
| Dimension | Custom Solution (EJAW) | Off-the-Shelf Platform |
|---|---|---|
| Hardware control | Full — custom PCB, chosen MCU, form factor | Limited to certified partner hardware |
| Data ownership | 100% — your servers or your cloud account | Vendor stores and processes your data |
| Upfront cost | Higher (NRE + development) | Low to zero |
| Per-device cost at scale | Near zero (no per-seat/per-message fee) | Linear — costs grow with device count |
| Feature customization | Unlimited — you own the roadmap | Dependent on vendor release schedule |
| Security model | Designed to your requirements | Shared responsibility, vendor-defined |
| Best fit | Products, scale-ups, regulated industries | Proof-of-concept, <500 devices, low budget |
We are technology-agnostic but opinionated. We pick tools with strong community support, long maintenance windows, and proven production track records — not whatever is trending. Here is the stack we rely on most.
Every device we ship boots with a unique identity certificate provisioned at the factory. Communication is mutual-TLS encrypted end-to-end. Firmware images are signed; unsigned updates are rejected at the device level. Cloud endpoints are hardened with WAF, rate limiting, and anomaly detection from day one.
Before we get on a call, here are the questions clients ask most often. If yours isn’t here, it will take about 15 minutes to answer it in a discovery session.
Tell us what you are building and where you are stuck. We will come back within one business day with an honest assessment of scope, risk, and what a first sprint could look like.