Data-Centric Engineering
– what is DCE? – brief intro to surrogate models – brief intro to risk based inspection – meet the […]
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assurance-focused AI
De-risking
complex models
for the real world.
AQ is an assurance-focused technology company offering verification, validation, and expert guidance to organisations deploying machine learning and AI in safety-critical and high-consequence environments.
# verify and validate your ML workflow
from aq import AssuranceClient
client = AssuranceClient(model=your_ml_pipeline)
report = client.validate(
method='verification',
standard='industry_best_practice'
)
print(report.confidence_score)
// what we do
Assurance for
data-centric engineering.
As the physical world becomes increasingly instrumented, AQ provides the expertise needed to trust and deploy AI responsibly — from verification to education.
01 / V&V
Verification & Validation
Industry-leading verification and explanation of applied machine learning workflows — ensuring your models do what they claim to do.
02 / standards
Industrial Guidance
We develop best-practice guidance and standards for data-centric engineering applications across regulated industries.
03 / consulting
Probabilistic Modelling
Expert consulting in probabilistic modelling, uncertainty quantification, and decision analysis for complex engineered systems.
04 / education
Training & Education
Hands-on training for academia and industry — from ML for digital twins to probabilistic programming for risk and safety.
05 / software
WALD
Our tool in development for decision analysis under uncertainty — bringing rigorous probabilistic reasoning to engineering workflows.
06 / assurance
Risk & Assurance
End-to-end assurance frameworks for organisations deploying AI in safety-critical environments — from design to operation.
// latest thinking
From the blog
// work with us
Ready to de-risk your AI?
Whether you need a full verification audit or expert training for your team, we'd love to hear about your project.
start_project()