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.
Engineering Design
"We run thousands of simulations to understand design margins."
Get full uncertainty quantification in a single simulation pass.
Supply Chain Planning
"We need a compute platform to ease implementing range-based and probabilistic forecasting."
Replace fragile point estimates with robust probabilistic planning.
Deployment Options
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