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.
“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.”
Product Manager, TRI
“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.”
Chief Data Science Officer, States Title
“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.”
Data Engineer, Skydio
“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.”
Head of Data Operations, Standard Cognition
“We really value our partnership with Scale and their ability to deliver custom workflows that suit our needs across a variety of mapping and deep learning models. Scale's high-quality, rapidly labeled data will enable us to ramp our map expansion, allowing us to provide more service to customers like Dominos.”
Software Operations Program Manager, Nuro
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 AI guarantees 99%+ quality and low latency to reduce costs up to 90%+ with an optional human-in-the-loop review.
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.
Collect and generate representative device, image, video, 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.
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.