Verified Metrics, Real Systems

Default vendor BSPs are bloated, insecure, and slow to boot. They ship with hundreds of unnecessary packages, weak default kernel configs, and no optimization for your specific hardware. Every second of boot time is user-visible latency — and every unused package is a CVE waiting to be exploited.

Soft real-time systems miss deadlines under load. Priority inversion, ISR latency spikes, and non-deterministic scheduling turn production systems into liability. When motor control misses a timing window, machines crash. When a medical device misses a deadline, patients are at risk.

Cloud inference doesn't work when connectivity is intermittent or latency is unacceptable. Running ML models naively on edge hardware burns power, heats the enclosure, and still misses throughput targets. INT8 quantization done wrong degrades accuracy beyond tolerance.

Multi-sensor systems are hard. Time-synchronization drift across cameras, LiDAR, and IMU produces fusion errors that cascade into false positives. Copying frame data between sensor drivers and inference engines eats CPU cycles and adds latency.

Industrial and medical devices run for 10+ years in the field. Without a secure boot chain, any attacker with physical or network access can flash malicious firmware. Without signed OTA, a man-in-the-middle can push backdoors. The EU CRA (Cyber Resilience Act) now mandates this — non-compliance blocks market access.

Industrial machinery requires cycle-accurate deterministic communication between controllers and drives. Standard Ethernet cannot guarantee delivery timing. Proprietary fieldbus implementations lock you into vendor ecosystems. EtherCAT's hardware-timestamped distributed clock eliminates jitter — but only when implemented correctly.