https://scale.com/
Company Description
Scale is a data platform for AI. Better data leads to more efficient models. performative models lead to faster deployment. deliver value from your AI investments faster with better data. Scale hopes to accelerates the development of AI applications.
Commercial proven and Government tested. Scale is trusted by the largest US govt agency to support their data and analytic needs. Scale can annotate billions of data points and takes models from pilot to deployment.
Company Information
Problem Being Solved / Solution Being Offered
Data-Centric ML Lifecycle - Scales mission is to accelerate the development of AI. Scale will accomplish this by providing a data-centric, end to end solution to manage the lifecycle.
- Annotate - Gather human insight, for search relevance, ecommerce, natural language processing, audio transcription, document processing and more. Computer Vision, scale advanced annotations. annotate large volumes of 3D sensor, image and video data at high throughput. ML powered pre labeling and an automated quality assurance system ensure high quality annotations.
- Manage - Quickly choose and manage data to label with active learning and advanced querying. Visualize data, identify edge cases with integrated model predictions. with Scale Nucleus
- Automate - automate document processing. achieve robust document understanding and extraction across any document pre-trained but fine tuned with your data to your exact use case, Scale Document AI guarantees 99+ quality and low latency to reduce costs up to 90%.
- Evaluate - Test, Validate and Debug Models. upload predictions to Nuclear via API. track model performance, compare models runs, sort failure examples by metrics of interest, and build model unit tests out of curated dataset slices to catch regression in key scenarios.
- Collect - Diverse Data, collect and generate representative device, image, video, text and audio data in 50+ languages across 70 counties. Data collection work flows are API supported and seamlessly integrate with Scales data labeling pipeline
- Generate - Generate Synthetic Data. augment ground-truth training data with infinite variety's of synthetic data and expose your model to more data than you can otherwise collect. confidently developed generalizable ML models by understanding how they will react to rare or dangerous real world scenarios before they can be encountered in production.
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