sizeless

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We make Machine Learning
Reproducible and Safe

You choose a model and we take care of the rest:
running at scale and benchmarking ML models.

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Built for and trusted by ML engineers, researchers and academics.

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Backed By

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We accelerate your AI journey

We are making a shortcut for ML teams everywhere.
Speed up your development cycle: Run, test and improve your ML models with just a few clicks.

Speed-up your development cycle

Run
We automatically deploy your ML model efficiently to CPUs & GPUs.
Test
We train, test and validate your model and compare it to other codes.
Improve
We generate insights on how you can improve your models to reach your KPIs and metrics.
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Focus on building ML models

We accelerate the development cycle from prototyping to deployment by dealing with the hassle of running your models at scale and benchmarking them against other models and data sets.

AI safety

Significantly improve model performance by uncovering and fixing model failures.

Transparency

Know how well your models perform compared to other models & data sets.

Optimize Cloud Spend

We efficiently deploy your models - only pay what you use.

Evaluate across many fields

Benchmarking is available for a selected group of categories for now.

Object Detection

PASCAL VOC 2007 - [link]COCO - [link]CrowdHuman - [link]
Cascade - [link]MAP: 89.3%MAP: 57.3%
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Yolo v2 - [link]MAP: 78.6%Close
Faster RCNN - [link]MAP: 73.2%MAP 43.9%MAP 84.95%
“ sizeless is a game changer for transparent and reproducible research. I can now easily run, test and compare my computer vision models to other models and data sets in a few clicks.“
Cornelius
PhD student ETH Zurich