Deterministic Computing
on Probability Distributions

Speed up your uncertainty quantification in AI/LLM models. Speed up your quantitative finance risk and pricing calculations. Accelerate your Monte Carlo simulations in engineering.

Choose between Signaloid's cloud-based task execution API, integration with your existing optimized C/C++ code, or edge hardware modules.

Image showing an automotive and autonomous systems use case for Signaloid's technology for deterministic computation on probability distributions.

Transform Doubts into Insights

Society depends on computation to accurately model our world, but computers today compress reality to make sense of it.

When we need them to calculate all the possibilities implied by data, they must do thousands of repeated calculations and the software they run must be modified to allow this.

Signaloid's computing platform lets you run your existing software and feed in probability distributions as regular data.

Cloud API, Integrate with On-Premises Code, or Hardware Modules

Get up and running quickly with our cloud REST APIs for running C/C++ kernels with automatic support for deterministic computation on probability distributions.

Easily integrates with your existing high-performance CPU- or GPU-optimized code, to add capability for deterministic computation on probability distributions.

Enable energy-efficient real-time uncertainty quantification at the edge of the network with minimal or no modifications to your existing edge hardware and firmware, using are easy-to-adopt edge-hardware system-on-modules.

Used by developers at:

Developer Documentation

Developer Documentation

Developer Documentation

Developer Platform

Developer Platform

Developer Platform

#	Submit kernel.c for Execution
$ curl
	-X POST
	-H "Authorization: $SIGNALOID_API_KEY"
	-d	'{"Type": "SourceCode", "Code": "'$(cat kernel.c)'"}' 
	https://api.signaloid.io/tasks
	| jq -r '.TaskID' | read -r taskID

#	Retrieve Automated Uncertainty Quantification
$ curl
	-X GET
	-H "Authorization: $SIGNALOID_API_KEY"
	"https://api.signaloid.io/tasks/$taskID"
	| jq -r '.Stdout' | xargs curl | cat
#	Submit kernel.c for Execution
$ curl
	-X POST
	-H "Authorization: $SIGNALOID_API_KEY"
	-d	'{"Type": "SourceCode", "Code": "'$(cat kernel.c)'"}' 
	https://api.signaloid.io/tasks
	| jq -r '.TaskID' | read -r taskID

#	Retrieve Automated Uncertainty Quantification
$ curl
	-X GET
	-H "Authorization: $SIGNALOID_API_KEY"
	"https://api.signaloid.io/tasks/$taskID"
	| jq -r '.Stdout' | xargs curl | cat
#	Submit kernel.c for Execution
$ curl
	-X POST
	-H "Authorization: $SIGNALOID_API_KEY"
	-d	'{"Type": "SourceCode", "Code": "'$(cat kernel.c)'"}' 
	https://api.signaloid.io/tasks
	| jq -r '.TaskID' | read -r taskID

#	Retrieve Automated Uncertainty Quantification
$ curl
	-X GET
	-H "Authorization: $SIGNALOID_API_KEY"
	"https://api.signaloid.io/tasks/$taskID"
	| jq -r '.Stdout' | xargs curl | cat

Developer Documentation

Developer Documentation

Augment Or Reuse Your Existing Code, Or Build New Applications

Run mission-critical kernels and models using our cloud task execution API. Run existing CPU- or GPU-accelerated C/C++ code alongside kernels that exploit deterministic computation on probability distributions, on your existing hardware. Use our hardware modules in your edge-of-network use cases.

Augment Or Reuse Your Existing Code, Or Build New Applications

Run mission-critical kernels and models using our cloud task execution API. Run existing CPU- or GPU-accelerated C/C++ code alongside kernels that exploit deterministic computation on probability distributions, on your existing hardware. Easily integrate our hardware modules in your existing or new edge-of-network use cases.

Developer Documentation

Developer Documentation

Signaloid is the Next Frontier in Computing

The Signaloid Compute Engine uses deterministic computation on probability distributions associated with all in-processor state to enable orders of magnitude speedup and orders of magnitude lower implementation cost for computing tasks that are traditionally solved using Monte Carlo methods.

The Signaloid Compute Engine uses deterministic computation on probability distributions associated with all in-processor state to enable orders of magnitude speedup and orders of magnitude lower implementation cost for computing tasks that are traditionally solved using Monte Carlo methods.

The Signaloid Compute Engine is available as a cloud-based computing engine that lets you dynamically compile and run computing tasks via a cloud-based task execution API, and also available as on-premises and edge-hardware implementations.

Running your mission-critical software on Signaloid's compute platform allows you to be more confident when computers act autonomously.

Illustration of functionality and instructions provided by a traditional microprocessor, showing intructions for "add", "subtract", "multiply", "AND", "divide", and "XOR"
Illustration of functionality and instructions provided by a microprocessor implementing Signaloid's technology for deterministic computation on probability distributions, such as the Signaloid C0. The illustration shows intructions for traditional instruction set architecture (ISA) operations, as well as operations enabled by Signaloid's technology.
Illustration of functionality and instructions provided by a traditional microprocessor, showing intructions for "add", "subtract", "multiply", "AND", "divide", and "XOR"
Illustration of functionality and instructions provided by a microprocessor implementing Signaloid's technology for deterministic computation on probability distributions, such as the Signaloid C0. The illustration shows intructions for traditional instruction set architecture (ISA) operations, as well as operations enabled by Signaloid's technology.
Illustration of functionality and instructions provided by a traditional microprocessor, showing intructions for "add", "subtract", "multiply", "AND", "divide", and "XOR"
Illustration of functionality and instructions provided by a microprocessor implementing Signaloid's technology for deterministic computation on probability distributions, such as the Signaloid C0. The illustration shows intructions for traditional instruction set architecture (ISA) operations, as well as operations enabled by Signaloid's technology.

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