Open-Source
CI/CD platform
for ML teams

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Trusted by Modern ML Teams

Emeric Trossat's picture, Head of Data at Webedia

Giskard really speeds up input gatherings and collaboration between data scientists and business stakeholders!

Emeric TROSSAT
Head of Data, Webedia
Webedia company's logo

Giskard enables to integrate Altaroad business experts' knowledge into our ML models and test them.

Jean MILPIED
Data Science Manager, Altaroad
Altaroad company logo

Deploy automated tests to eliminate regression and biases. Collaborate faster with feedback from business stakeholders.  

Before Giskard
With Giskard
PAIN POINTS
❌ Inefficient & time-consuming ML development process.
❌ Friction between Data Scientists, ML Engineers and business experts.
❌ Bias, errors & regressions in production
‍
Illustration of the Before Giskard era
KEY BENEFITS
✔️ Deploy automated tests of ML models in no time.
✔️ Get direct feedback from business stakeholders.
✔️ Build more performant, robust and ethical ML models.
Illustration of the After Giskard era

Product workflow

Deliver ML products, better & faster.
Become a ML superhero.

Upload

Easy upload for any Python model: PyTorch, TensorFlow, Transformers, sklearn, etc.

Evaluate

Collaborate with business stakeholders with direct feedback & discussion

Test

Exhaustive test suites, backed by State-of-the-Art ML research.

Automate

Protect your ML models against the risk of regressions, drift and bias.
Check out our features

Supports data science tools & frameworks you already use

Giskard uses open source protocols, so it's fully portable and extensible

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Metamorphic testing

How to test ML models? #4 🎚 Metamorphic testing

Metamorphic testing are adapted to Machine Learning. This tutorial describes the theory, examples and code to implement it.

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Why & how we decided to change Giskard's identity

We explain why Giskard changed its value proposition, and how we translated it to a new visual identity

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