The Full-Stack Platform for Computing on Probability Distributions
A full-stack, distributional arithmetic computing platform with solutions optimized for cloud, on-premises, and edge hardware, running on your existing CPUs and GPUs or on Signaloid’s own silicon.
How It Works
Distributional arithmetic does arithmetic on whole probability distributions the way a calculator does arithmetic on numbers: exactly, and the same every time.
You annotate your inputs with probability distributions, and a single execution returns the full output distribution. Signaloid's Compute Engine propagates the distributions through your arithmetic, so you get the answer directly.
Monte Carlo and other probabilistic methods approximate the same answer by drawing thousands of random samples, so the result shifts from run to run and accuracy costs more compute. Distributional arithmetic computes the distribution directly, so the result is reproducible and orders of magnitude faster.
The Compute Engine
Run distributional arithmetic computing on the Signaloid Cloud Compute Engine, or self-hosted on your own infrastructure.
Hardware Modules
Run distributional arithmetic computing at the edge, on hot-swappable modules that fit existing systems. Each module carries a RISC-V processor that computes on probability distributions, with a convenient form factor that integrates with your existing hardware and PLCs, without requiring any costly hardware upgrades.
Developer Tools
Write, run, and manage distributional arithmetic computing in the browser or from your own systems.
Technology Explainers
The technology explainers below provide more details on how Signaloid's technology works, from the underlying mathematics to the engineering implementation and applications.
