Signaloid's UxHw® technology allows a single execution of a program to evaluate a distribution of inputs and output a distribution result. Achieve speedups of over 1000x for stochastic workloads common in AI, quantitative finance, robotics, and more.
Simpler Code and Faster Execution:
Quantitative risk and derivatives pricing workloads in finance
Monte Carlo simulations in engineering
Reinforcement learning and Bayesian methods in AI/ML
Particle and Kalman filters in robotics and embodied AI
Use Cases
Quantitative Finance
"Our VaR calculations take hours and cost a fortune."
Accelerate risk calculations and derivatives pricing by over 400x.
Digital Banking
"Our clients want interactive multi-scenario modeling, not one-off results from an analyst."
Enable interactive what-if analysis that responds in milliseconds.
Machine Learning and AI
"We need to know when we can trust our AI/ML model predictions."
Add calibrated uncertainty to any ML inference pipeline.
Robotics and Automotive
"We need easier ways to achieve high-performance LiDAR particle filters on our edge GPU hardware."
Simplify state estimation with automatic uncertainty propagation.
Industrial Automation
"We can't trust AI/ML predictions enough to deploy them on the factory floor."
Make AI transparent with real-time confidence quantification.
Supply Chain Planning
"We need a compute platform to ease implementing range-based and probabilistic forecasting."
Replace fragile point estimates with robust probabilistic planning.
Hybrid Quantum Computing
"We want to increase the return on investment from our quantum technology expenditure."
Improve your quantum computer efficiency by replacing the classical component.
Engineering Design
"We run thousands of simulations to understand design margins."
Get full uncertainty quantification in a single simulation pass.
Deployment Options
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