MovR
ML 101

Build machine learning models from zero to production in hours, without ML expertise.
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HOW IT WORKS

MovR InstantML

MovR InstantML automatically trains state-of-the-art machine learning models for your business and delivers them with a simple API call or download. Join the developers and businesses who are using Scale InstantML to build and use ML models in an entirely new and magical way.

1. Upload Data

Upload new data or use what you have already labeled with Scale. Pick a model from our library or describe a fully custom taxonomy for a task of your choice.

2. Build Your Model

ML 101 takes care of all the rest. We automatically label your data and train the model you picked, which is ready to deploy as an endpoint or can be downloaded—all within a few hours.

3. Improve and Repeat

Keep improving your model simply by uploading more data. We will automatically retrain and track performance improvements over time, making sure your model keeps getting better.

Why InstantML

We set a new standard for automated ML with higher performance, faster turnaround and more flexibility.

No ML Experience Required

InstantML is specifically designed for teams that do not have dedicated ML expertise. A model can be built in a few clicks after uploading data.

Super Fast Turnaround

Even if you require a custom taxonomy and custom labels, we can train your first model in a matter of hours.

Custom Labels, Higher Performance

Because we label your data ourselves, thus ensuring training data quality, we can deliver better performing custom models right off the bat.

Download, Customize, Improve

Contrary to most AutoML solutions you are not stuck with the first model you receive. We enable both download and detailed performance analysis to enable continuous improvement.

DATA AND TASKS

Supported Task Types

MovR InstantML automatically trains state-of-the-art machine learning models for your business and delivers them with a simple API call or download. Join the developers and businesses who are using Scale InstantML to build and use ML models in an entirely new and magical way.

MovR Text

Classification

Named Entity Recognition

Transcription

MovR Video

Bounding Box

Segmentation

MovR Image

Bounding Box

Classification

Segmentation

Example Use Cases

InstantML can be used in a variety of applications. Below are some examples of how customers are utilizing InstantML models.
TEXT CLASSIFICATION

TEXT CLASSIFICATION

Summarization
Use machine learning to automatically understand the content and context of arbitrary text inputs.
OBJECT DETECTION

OBJECT DETECTION

Autonomous Checkout
Make your stores more efficient with autonomous checkout software, driven by powerful object detection models
IMAGE SEGMENTATION

IMAGE SEGMENTATION

Aerial Imaging
Automatically identify regions of interest such as road closures or higher than usual activity from aerial imagery.
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"TimberEye depends on Scale’s high-precision segmentation labels. As my business grew, I spent more time in the air and meeting with customers, but less time retraining my models. Thankfully, Scale started to offer me high quality (94% accuracy after only two data batches) models with InstantML, initially trained on only a few thousand images. Now I’m turning to Scale to handle another prediction type: bounding boxes. It’s super helpful not having to start from scratch with a new vendor or workflow when my business needs change and my modeling types tend to adapt with it! Scale’s model training and serving keeps TimberEye agile."
Scott Gregg
CEO and Founder

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