Better data leads to more performant models. Performant models lead to faster deployment. Deliver value from your AI investments faster with better data.
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Scale’s mission is to accelerate the development of artificial intelligence. We do this by providing a data-centric, end-to-end solution to manage the entire ML lifecycle.
Retrieve human insights for search relevance, ecommerce, natural language processing, audio transcription, document processing and more. Operational excellence augmented by technology enables us to exceed demanding quality, cost, and latency requirements.Learn More →
“Very quickly, our engineers liked what they saw and we asked Scale to ramp 10X throughput in a matter of weeks. Scale’s been able to support the extra throughput request and allowed us to do great research.”
“Scale has provided the fuel to put our machine learning systems on overdrive. They make sure the highest quality training data is there in time to meet our aggressive roadmap. Lenders and borrowers will experience faster and more efficient closings sooner as a result.”
“We appreciate how the Scale AI team proactively seeks feedback and holds themselves accountable. Their QA team is careful and quick to seek clarification, and their attention to detail has produced some truly impressive results.”
“It was easy to get started with Scale AI because they had the platform and the people with the skillset to perform the annotation tasks we needed. While we’re much bigger now and could potentially handle the volume of annotation tasks, why would we want to? We believe we should leave data annotation to experts like Scale so we can focus on perfecting the retail shopping experience with regard to the use of AI.”
Achieve robust document understanding and extraction across any document type. Pre-trained but fine-tuned with your data to your exact use case, Scale Document guarantees 99%+ quality and low latency to reduce costs up to 90%+ with an optional human-in-the-loop review.Learn How →
Upload predictions to Nucleus via API. Track model performance, compare model runs, sort failure examples by metrics of interest, and build model unit tests out of curated dataset slices to catch regressions in key scenarios.Learn How →
Collect and generate representative text and audio data in 50+ languages across 70+ countries. Data collection workflows are API supported and seamlessly integrate with Scale’s data labeling pipeline. Image and Video collection coming soon.
Augment ground-truth training data with infinite varieties of synthetic data and expose your model to more data than you can otherwise collect. Confidently develop generalizable ML models by understanding how they will react to rare or dangerous real-world scenarios before you encounter them in production.