Asynchronics
Digital Twinning Solutions for Cyberphysical Systems.
| Date | Investors | Amount | Round |
|---|---|---|---|
* | N/A | Seed | |
| Total Funding | 000k | ||
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Asynchronics was founded to address one of the most critical challenges in modern engineering: ensuring the reliability of complex cyber-physical systems. In the rapidly growing NewSpace sector, historical data shows mission failure rates as high as 40%, largely due to preventable software and system integration faults that go undetected during ground testing. This problem is not unique to space; it extends to the automotive, IoT, and defense industries, where the complexity of networked hardware and software makes traditional validation methods slow, costly, and ineffective.
Our solution is a complete simulation ecosystem designed to democratize digital engineering. It consists of two core pillars:
- The NeXosim™ Framework: A production-ready, open-source simulation framework that leverages Rust, a new programming language with a strong focus on reliable, high-performance software. Unlike legacy C++ simulators, NeXosim provides superior memory safety and transparent auto-parallelization, enabling faster, more complex, and more reliable system-level testing.
- The NeXosim.io Marketplace: The industry’s first vendor-neutral marketplace for high-fidelity digital twins. This platform breaks down proprietary silos, creating a collaborative ecosystem where hardware manufacturers can provide validated, "as-a-service" digital versions of their products, and system integrators can access a growing catalog of ready-made models.
This ecosystem empowers engineers to move fault detection earlier into the design phase, identifying and resolving critical integration faults virtually before they are committed to expensive hardware. By enabling true concurrent engineering and providing a platform for robust operational and cybersecurity testing, we help our clients build more dependable systems faster and at a lower cost.
While our current focus is on delivering these capabilities to the demanding space sector, our long-term vision is to extend this proven methodology to other industries reliant on complex cyber-physical systems, including automotive, IoT, aerospace, and defense.