sizelessMake ML models reproducible and safe.

Sizeless: Reproducible and Safe AI

Introduction

Sizeless makes Machine Learning reproducible and safe. Choose a model, and we handle the rest: running at scale and benchmarking ML models.

Key Features

• Run: Automatically deploy ML models efficiently to CPUs & GPUs.
• Test: Train, test, and validate models, comparing them to other codes.
• Improve: Generate insights to enhance model performance and reach KPIs.
• AI Safety: Uncover and fix model failures to significantly improve performance.
• Transparency: Know how well models perform compared to others.
• Optimize Cloud Spend: Efficient deployment ensures you only pay for what you use.
• Evaluate Across Fields: Benchmarking available for Object Detection, Anomaly Detection, and Visual Inertial Odometry.

Use Cases

• Object Detection: Benchmark models like PASCAL VOC 2007, COCO, and Yolo v2.
• Anomaly Detection: Evaluate models with datasets like VisA, Fishyscapes, and MVTec AD.
• Visual Inertial Odometry (VIO): Test models with datasets such as Railway, EuRoC MH1, and TUM-VI.

Pricing

Pricing details are tailored to your specific needs. Contact us to get a customized quote based on your usage and requirements.

Teams

Sizeless is built for and trusted by ML engineers, researchers, and academics. We accelerate the AI journey by providing a shortcut for ML teams everywhere, speeding up the development cycle from prototyping to deployment. Focus on building ML models while we handle the complexities of running and benchmarking them at scale.