P(X,Y) joint risk distribution
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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.actionable_guidance)

energy
maritime
critical infrastructure


// TRUSTED BY
The Alan Turing Institute
Lloyds Register

Assurance for
data-centric engineering.

As the physical world becomes increasingly instrumented, sensors, simulations, and algorithms now inform engineering decisions. AQ verifies they are trustworthy.

01

Assurance

Verifying that models, workflows and software do what they claim to do.

  • -> Verification & Validation
  • -> Workflow inspection
  • -> Software, modelling & data processing
02

Uncertainty-aware engineering

Quantifying what is known, unknown, and unknowable in complex systems.

  • -> Probabilistic modelling
  • -> WALD decision tool
  • -> Decision analysis
03

Best practice

Building the standards and skills that let organisations deploy AI safely.

  • -> Guidance & standards
  • -> Training & education
  • -> Risk-informed policy

From the blog


Ready to de-risk your data-centric engineering tools?

Whether you need a full verification audit or expert training for your team, we'd love to hear about your project.

start_project()