We are solving the most expensive lie in embedded systems: that you must choose between speed (fast RAM) and safety (slow disk). When the power cuts, data is lost, and mission-critical systems fail.We built Synrix, a foundational memory substrate written in C++/Rust that eliminates this trade-off. It’s designed to run perfectly on CPU-only edge devices like the Jetson Nano.This technology allows you to run a massive data footprint that far exceeds your available RAM. We successfully run a 50 Million node graph (a 48gb dataset) on an 8gb embedded device while consuming only 1.5 gb of RAM. This breaks the memory barrier for edge AI and autonomy.Crucially, the system is ACID-Guaranteed Zero-Loss. We achieve sustained 0.40 us read latency while performing a Zero-Loss recovery even when the power is yanked. This means the audit trail for robotics and industrial SCADA, and LLM as we believe it gives persistent memory, systems is finally irrefutable.This is not research; it is ready for production. This capability eliminates the most common cause of catastrophic software failure in robotics and industrial control.We are asking the HN community to review the architecture and help us break our central promise: Can you force a data loss when the system is running?If the performance and reliability are useful for your embedded AI, robotics, or industrial projects, please check out the 5-minute demo and play around with the engine.
