Signaloid to Preview New Product Signaloid C0-microSD+33 at Embedded World 2026

Signaloid to Preview New Product Signaloid C0-microSD+33 at Embedded World 2026

Copy URL

Copied

Copy URL

Copied

Cambridge/Nuremberg

,

Signaloid today announced the preview release of the Signaloid C0-microSD+33, an edge hardware accelerator module for robotics and trustworthy AI. The Signaloid C0-microSD+33 module eases the implementation of algorithms such as state estimation, sensor fusion, particle filters, Gaussian process models,  trustworthy machine learning inference, and real-time uncertainty quantification. The module makes these algorithms easier to implement as well as providing orders of magnitude speedup in many use cases, enabled by the Signaloid UxHw® technology’s capability of performing arithmetic directly on probability distributions.

The Signaloid C0-microSD+33 expands Signaloid’s edge hardware realizations of the Signaloid UxHw technology deployed in the enterprise-grade Signaloid Cloud Compute Engine,  and follows on from the release in summer 2025 of the Signaloid C0-microSD starter module. While the starter module provided a cost-effective way for both professionals and hobbyists to get started with Signaloid's UxHw technology in edge-of-the-network applications, the Signaloid C0-microSD+33 delivers higher compute power and more embedded core memory within its microSD form factor, bringing Signaloid’s UxHw technology to production deployments that require the highest performance. Organizations can easily integrate these modules into the hardware and software of legacy platforms ranging from robotics to factory automation PLCs by inserting the device into a vacant microSD card slot in the embedded system. 

Signaloid will be previewing the Signaloid C0-microSD+33 module in AI/ML applications at Embedded World 2026, Nuremberg Messe, Hall 2, booth 2​​-412e, from 10 to 12 March.

About Signaloid

Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many critical workloads in the finance, robotics, and manufacturing sectors. Organizations can run their applications over Signaloid's computing platforms and in the process replace time-consuming Monte Carlo simulations with efficient deterministic computations that provide the same probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, Signaloid's technology is designed for easy adoption and integration into an organization's information technology infrastructure.

More information?

Please contact us at:

Copy full text

Copied

Copy full text

Copied

Visit us at Embedded World 2026.

Visit us at Embedded World 2026.

Visit us at Embedded World 2026.

Schedule a Demo Call
Request Whitepaper
Schedule a Demo Call
Request Whitepaper
Schedule a Demo Call
Request Whitepaper