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

Submit a test request to explore edge cases for your model!

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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

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

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How Does it Work?

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