Test and improve your ML locally and at scale.

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

✓
Generate new and meaningful data on your laptop and in the cloud
✓
Discover edge cases before deployment
✓
Improve models with confidence
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Why Choose Us?

Build reliable ML models

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

Platform Features

Test Specifications

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

✓
Build complex flows of transformations.
✓
Understand and maintain your operational domain like unit tests.
✓
Expand your training set with data that makes your model more robust.
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Transformations

Using a wide variety of standard and complex transformations can help you generate realistic and meaningful data. We provide extensive support for multiple verticals, including the medical domain, security, identification and defence, as well as support for external environmental and indoors variability. This is powered by our advanced metamorphic engine.

✓
Transform faces by applying lighting, masks and other 3D accessories.
✓
Augment MRI scans by applying specific domain transformations.
✓
Create new scenes by adding objects of interest conditioned on semantic and meta information.

Robustness Testing

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

✓
Test beyond fixed datasets and data slicing.
✓
Update your models with confidence.
✓
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.
✓
Automatically discover failure edge cases.

Debugging Samples

Enhance your understanding of failure modes with our user-friendly interactive debugger.

✓
Leverage your expert know-how to debug your model and find when it encounters failures
✓
Compare the performance of different models based on specific parameters.
✓
Gain a precise understanding of the specific areas in which your model encounters failures and its level of sensitivity.
Try it yourself

Test locally and in the cloud

LoCAL

HUB

Platform supports

Any Problem

Object Detection
Classification
Segmentation
Pose Estimation
Regression
Any combination

Any Dataset Format

COCO
YOLO
ImageNet
Custom
Multimodal

Any Input/Output

Image
Text
Video
Value
Bounding Box
Polygon
Tag
Keypoint
Skeleton

Any Model

PyTorch
TensorFlow
Keras
Detectron
sklearn

Join our community

Join Discord

Get in Touch

2150 Shattuck Ave.,
Berkeley, CA 94704,
United States
info@efemarai.com

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