"Industrial reliability is not a matter of belief, but is measurable."
In our empirical validation tests, we subjected our software architecture to extreme mass IoT burst scenarios. The result: Thanks to sophisticated in-memory caching methods and asynchronous, non-blocking data persistence, our system processes data streams in the microsecond range—even under a simulated load of 260 time-critical uplinks per second, the system-critical 7-second downlink window remains 99.99% stable.
In large-scale empirical stress tests with 80,000 endpoints and a continuous load of 260 uplinks per second, our software demonstrates uncompromising industrial-grade performance – even on lean edge installations:
An isolated, asynchronous write thread allows the system to absorb massive burst scenarios with ease, without blocking the main processing path (hot path).
Reduces the average handler execution time directly into the microsecond range. Latency bottlenecks are therefore a thing of the past.
Control your entire IoT infrastructure programmatically. Our fully documented REST API (including an interactive Swagger interface) gives developers direct access to device management, configurations, and system states.
Whether registering new endpoints or retrieving gateway metrics – all administrative tasks can be seamlessly scripted.
Administrative write operations run through our isolated write thread to ensure that live data processing is never compromised.

Find the technical datasheets for the LUPUS mioty® System below.
Digitizing industrial plants, logistics hubs, and commercial real estate presents modern enterprises with a fundamental challenge: thousands of sensors must transmit data reliably, cost-effectively, and with extreme energy efficiency.
Digitizing metering points, heat cost allocators, and water meters in the real estate sector presents fundamental challenges.