We engineer custom IoT software, hardware-level serial integrations, and low-latency edge computing telemetry platforms.
Deploying physical hardware requires specialized software engineering. Standard cloud applications lack the protocols to connect with hardware scales, temperature sensors, GPS trackers, or PLC controllers. Our IoT and embedded engineering service builds custom edge software that interfaces directly with local device serial ports, gathers telemetry, and transmits it securely to the cloud.
We focus on offline resilience, data compression algorithms for low-bandwidth networks, and hardware-backed biosecurity locks. By writing clean C/C++, Rust, and Python controllers, we ensure edge devices operate reliably in remote, harsh environments.
Leadership cannot monitor warehouse temperatures, machinery states, or assets in real-time, causing unexpected operational downtime.
Edge sensors stop working or drop data when cellular or Wi-Fi connectivity is lost at remote field locations.
Connecting specialized hardware scales, barcode scanners, or sensors to cloud databases using ad-hoc software leads to frequent system failures.
Unsecured IoT devices expose internal networks to external cyber attacks and data interception.
Real-time asset trackers, Bluetooth beacon routing, and serial scale integrations.
PLC telemetry gathering, machinery vibration tracking, and custom edge gateway controllers.
Soil moisture sensors, weather stations, and low-power WAN telemetry gathering.
Develop optimized custom edge software and device interfaces for your proprietary physical terminal or sensor.
Deploy edge caching and database queuing so devices continue logging data during network outages.
Modernize aging embedded systems with clean Rust/C/C++ logic and secure cloud connectors.
Deploying a local Linux controller to compile data from Bluetooth sensors and queue it to the cloud.
Building local driver layers to communicate with serial receipt printers, card terminals, and barcode scanners.
A complete prototype phase covering hardware testing, edge software logic, and cloud telemetry databases.
We analyze local sensor protocols (Modbus, I2C, BLE), evaluate network limits, and map data structures.
We write low-level device controllers in Rust, C/C++, or Python, and design local caching databases.
We configure lightweight messaging brokers (MQTT/AMQP), deploy REST/GraphQL ingestion pipelines, and build telemetry dashboards.
We run automated test scripts on physical device targets under simulated battery drain and signal loss conditions.
We configure secure boot keys, database encryption, and deploy OTA (Over-The-Air) firmware update pipelines.
We manage ongoing IoT operations, monitoring device connection logs, updating firmware signatures, and adjusting cloud telemetry bandwidth parameters.
For high-performance, memory-safe edge controller and firmware logic.
Lightweight messaging protocols and database systems for low-latency telemetry streaming.
For secure, Relational cache databases running locally on edge gateways.
No. We specialize in software engineering. We write the edge application code, system drivers, and cloud telemetry databases that run on your selected hardware components.
We build offline-first edge controllers that cache telemetry points inside local SQLite databases. Once cellular or Wi-Fi reception returns, the application sync worker safely uploads the data queue.
We implement device-specific TLS certificates, cryptographic token authentication, and data encryption, ensuring sensor telemetry cannot be hijacked.
Skip the generic sales calls. Speak directly with a KryoNex Solutions Architect to map your current architecture, identify engineering bottlenecks and design a scalable path forward.
Review your current tech stack and bounded contexts with a senior engineer.
Establish realistic milestones, engineering phases and capacity requirements.