Signaloid provides computing platforms for dramatically reducing the runtime and compute infrastructure requirements of many commercially-valuable workloads, ranging from detecting hallucinations in LLMs, to quantitative finance computations and engineering simulations (their two beachhead markets). Their underlying technology natively supports computation on probability distributions and is designed to accelerate a broad range of workloads across applications ranging from numerical solution of stochastic differential equations to randomised numerical linear algebra.

Organisations 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. Signaloid was founded in 2019 by Phillip Stanley-Marbell, then a Professor at the University of Cambridge.