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 our computing platforms and in the process replace time-consuming Monte Carlo methods with deterministic computations on probability distributions that produce the same output probability distribution information. With a range of different deployment methods including a cloud compute platform, optional on-premises deployment, and edge hardware, our UxHw® technology is designed for easy adoption and integration into an organization's information technology infrastructure.

Our team consists of contrarian engineers with combined research, engineering, and leadership experience from Apple, ARM, Bell Labs, CMU, University of Cambridge, IBM Research, MIT, NEC Labs, and University of Oxford. Find out more and try out Signaloid's computing...