Launch
Reliable ML
with Confidence.

 

Our ML testing & governance product offering makes building, improving, launching, and maintaining reliable ML models simple and easy.

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MEET WIZARD.AI

Reliable ML in 3 easy steps:

1

Run Model through Testing Suite

2

Improve Model by mitigating new risks

3

Monitor Reliability in Production

1

Testing

The testing suite is the core of the Wizard AI product. Once you've finished modelling, simply use our SDK to check your model's robustness.

We essentially PenTest your model, just as you would a new piece of software, to uncover your data+model vulnerabilities and risks that would be exploited in production.

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Battle-tested fairness framework to verify how fair your models are on an individual and global level

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Synthetic data PenTesting tools to simulate data draft, and stress-test your model to ensure they remain robust against expected market trends

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Cutting-edge XAI techniques can crack open black box models and provide explanations to your modellers and stakeholders

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Clear compliance checks to ensure your models satisfy company and governmental regulatory requirements

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2

Mitigating

Once testing is complete, Wizard will collect all discovered risks and provide an easy to consume report with model explanations, compliance requirements, audit results, and vulnerabilities that should be addressed. 

We also provide immediate solutions to this risks via re-training and data augmentation

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Easily Consumable report to share with stakeholder and provide context to other modellers

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Data Augmentation to improve performance across minority classes and data drift discrepencies

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Reduce model debugging time (often a full sprint!) by over 95% while increasing model performance & efficiency

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Discover 2.8x more severe bugs than traditional debugging

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3

Monitoring

Finally, we constantly audit your models in production to ensure they adhere to Reliable AI principles, and act accordingly the moment they fail.

Remember: Reliable ML practices do not start until a model is in production!

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Model Observability for entire testing suite to ensure continued reliability and compliance

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Everywhere alerting system to always know the status of production environment

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Model Store & roll-back to compare model performances and ensure the best model is in production at all time

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Organizational Learning of market trends, customer preferences via continuous model explainability

Built for all datasets, models, and integrations.

Regardless of our data sources, model types, or tech stack, Wizard AI has you covered.

With a few lines of code, your team will be up and running with Reliable ML tools.

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Ready to get started?

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