SmartUQ provides advanced Machine Learning and Uncertainty
Quantification tools that help our customers save time, decrease costs,
improve quality, increase reliability, and reduce risk.
Our tools are optimized for engineering applications including
simulation, digital twins, testing, and manufacturing. With industry-leading
model accuracy and user-friendly GUIs and APIs, SmartUQ makes it possible to
handle the toughest challenges and easily solve everyday problems.
SmartUQ delivers best-in-class capabilities across core engineering analytics:
Design of Experiments (DOEs): Novel space-filling DOEs and adaptive sampling methods maximize coverage and target critical boundaries with minimal simulation or test runs.
Surrogate Modeling: High-accuracy, machine learning based emulators accelerate computationally heavy simulations across multi-dimensional, continuous, discrete, and varying geometry datasets.
Statistical Calibration: Advanced Bayesian calibration systematically tunes model parameters against physical test data, accounting for measurement noise and discrepancy.
Uncertainty Quantification (UQ): Comprehensive global sensitivity analysis, aleatory/epistemic uncertainty propagation, and reliability-based optimization ensure robust, risk-informed decisions.
Trusted by Industry Leaders
“SmartUQ has the best prediction accuracy among all tools I have ever used.”
– Technical Fellow at a Fortune 100 Aerospace company
“SmartUQ's adaptive design can significantly reduce the number of required simulations [a 72% reduction] and lead to much higher model accuracy [96% reduction in reference prediction error]”
– A Fortune 500 Semiconductor Company
“Our Uncertainty Quantification discipline now uses SmartUQ as its central tool and with it we have helped save millions of dollars and thousands of hours of work.”
– Statistician at a Fortune 100 Jet Engine company
High-fidelity models take days or weeks to run, slowing design iteration and
forcing compromises.
Data-to-decision gap
Traditional tools struggle to merge simulation and field data
into actionable insights.
Rising recall risk
Complex systems and shorter release cycles leave little margin
for error—recalls can cost $1B+ and damage brand trust.
Testing overload
Physical tests are
expensive, destructive, and schedule-driven; teams often “test until they run
out of budget.”
Over-design & hidden waste
When uncertainty isn’t quantified, safety factors
balloon—adding weight, cost, and time.
Disagreement between simulation and physical data
For applications like Digital Twins and certification by
analysis, discrepancies between predicted and actual measurements must be
reduced and quantified in order to trust predicted results.
Modern Engineering Teams Need SmartUQ to cut development time, curb cost, and protect product integrity—before small issues become million-dollar problems.
Enhance Your Existing Processes
Simulation Acceleration & Accuracy
What SmartUQ Does
Advanced DOEs & Bayesian Optimization reduce runs
Surrogate models yield instant predictions
Statistical calibration aligns models to reality
Value Delivered
✓50–75% faster design loops
✓Confident design decisions early
Problems Avoided
✕ Missed launch dates
✕ Costly re-work due to poor correlation
Testing Efficiency
What SmartUQ Does
Minimizes test matrices without losing coverage
Links test data to simulation for reusability
Value Delivered
✓30–60% test cost reduction
✓Fewer prototypes & less scrap
Problems Avoided
✕ Bloated test budgets
✕ Late-cycle failures
Optimization Under Uncertainty
What SmartUQ Does
Sensitivity analysis identifies critical drivers
Reliability-based optimization reduces weight, cost, energy
Value Delivered
✓Removes 10–20% over-design
✓Extends product life-cycle margin
Problems Avoided
✕ Warranty claims
✕ Excess material & BOM cost
Digital Twins & Predictive Analytics
What SmartUQ Does
Builds fast, calibrated virtual sensors
Powers real-time twins for CBM+, prognostics, What-Ifs
