Signaloid Limited
Enhance ctrlX CORE with explainable AI
Signaloid's C0-microSD+ modules plug into ctrlX CORE, offloading AI/ML model inference while providing prediction uncertainty estimates. Apply pre-trained ONNX models running on C0-microSD+ to data feeds from the ctrlX Data Layer and improve your production-line quality and safety.
Achieve explainable predictive maintenance
Enable data-driven predictive maintenance decisions, using Signaloid’s C0-microSD+ modules integrated with the ctrlX Data Layer, with “calendar heat maps” of predicted failure date and likelihood. Optionally augment C0-microSD+ solution with task execution on Signaloid’s Cloud Compute Engine.
Deploy bespoke hardware accelerator functionality
For customers that need bespoke cutting-edge hardware-accelerated solutions, the Signaloid C0-microSD+ enables cost-effective deployment of custom functionality in its FPGA mode, with integration in the ctrlX Data Layer enabled by the Signaloid C0-microSD+ Interface App.
Advantages
- Extend the capabilities of the ctrlX CORE with cost-effective AI hardware accelerator that plugs into microSD slot and integrates with the ctrlX Data Layer.
- Signaloid’s UxHw technology in the C0-microSD+ module allows to deploy explainable AI/ML model inference.
- Reduce site downtime and cost by knowing when AI model predictions are trustworthy.
- Get ahead of competition in dealing with upcoming regulation on safe use of AI.
Target Groups
- Machine Builder
- Machine Operator
- System Integrator
Topology
Hardware module option in topology: Signaloid C0-microSD+ hardware module integrates with ctrlX Data Layer for local acceleration of trustworthy AI without need to connect to cloud.
Cloud option in topology: Integration with Signaloid Cloud Compute Engine platform for customers who prefer cloud-only solution.
Hybrid hardware and cloud option in topology: Flexibility to combine both C0-microSD+ and Signaloid Cloud Compute Engine.
About Signaloid
Signaloid was founded in 2019 by Phillip Stanley-Marbell, a renowned expert at the interface of computer science and physics who previously worked at Bell Labs, IBM, Apple, MIT, and as Professor and Chair of Physical Computation at the University of Cambridge. With over two decades of experience at the forefront of technology across industry and academia, he started Signaloid with a vision to revolutionize the performance and efficiency of processing real-world data. For industrial automation applications, the edge hardware variant of Signaloid’s compute technology allows system builders and system operators to easily augment PLCs such as the ctrlX CORE from Bosch Rexroth, with hardware-accelerated explainable AI capabilities. Beyond PLCs, Signaloid’s solutions are also available for cloud-based supply-chain planning, engineering modeling, and more.