Platform for testing and improving ML continuously.

Efemarai Continuum™ lets ML teams develop robust models by continuously testing for edge cases.

  • Generate new and meaningful data
  • Discover edge cases before deployment
  • Improve models with confidence

Want to explore edge cases for your model?

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Build reliable models

85%
Decrease in unexpected failures
15%
Increase in model performance
4x
Shorter time to deployment

See how we can help your team as well ➞

Automatically discover failure edge cases

Efemarai Continuum Platfrom

Efemarai Continuum™ is a platform for continuous testing and improvement of machine learning models that can automatically discover failure edge cases by generating new and meaningful data samples.

WHAT ARE YOUR ASSUMPTIONS?

Test Specifications

Ensure your model operates consistently throughout its entire operational domain by describing what your data looks like and how it can vary.

TEST BEYOND FIXED DATASETS 
and DATA SLICING

Robustness Testing

Discover unseen edge cases by generating new and meaningful data samples falling within the expected operational domain, but causing model failures.

UPDATE YOUR MODELS WITH CONFIDENCE

Domain Coverage

Highlight areas of sub-par performance and catch regressions before the model is deployed in production.  Make it part of your integration flow and always know how to iterate next.

FIND NEW DATA THAT MATTERS

New Failure Data

Expand your training set with data that improves your model. Use synthetic failure data samples or automatically flag new incoming data that is likely to cause performance issues.

Lightning Fast Development

Seamless Integration

Efemarai Continuum™ supports all popular machine learning frameworks and development platforms such that it can be easily integrated into your workflow.

PyTorchScikit learnTensorflowKerasJax
How Does it Work?

Articles

Chess Pieces Detection in the wild

Deploying in the real world is hard. Finding where the model would fail before is even harder. This is where the Efemarai Continuum platform can increase the speed and confidence with which teams deploy and update their models.

Why should ML Engineers care about testing AI models before deployment?

It can be tempting to prioritize other tasks over extensive testing and rely on superficial dataset evaluations. However, testing AI models before deployment is ...

The Machine Learning Testing Landscape

A comprehensive overview of the ML testing landscape with a discussion about the available methods and tools.

Curious how Efemarai Continuum™ can help you with your use case?

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We are growing. Come join us!

We are always on the lookout for amazing talent - technical, business, sales or marketing. If you want to enable AI to solve even the hardest problems humankind faces just have a look at our open opportunities or drop us a line.