High-Quality Data is Your Moat

Post-training data needs are shifting from generic SFT to highly specialized data, human feedback and hybrid synthetic data. SuperAnnotate helps you reach your post training data goals faster and with higher quality than ever.

Challenges in Building High-Quality Datasets for Foundation Models

As foundation models become complex, access to high-quality datasets carries the promise of building a moat for many companies, but creating these datasets poses significant challenges.
“We reviewed several companies in this space and selected SuperAnnotate due to the high quality of their data. I'm very glad we did—they continue to stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don’t see them as a vendor; I see them as a partner.”
Jonathan Frankle

Chief Neural Networks Officer | Databricks

Advanced Dataset Solutions for Foundation Models

SuperAnnotate is purpose-built to meet the data demands of foundation model companies. It supports complex multimodal workflows that require extensive human input and seamless integration with external systems to guarantee data quality. Direct connectivity to your models enables real-time RLHF (Reinforcement Learning from Human Feedback) collection while offering robust project management, team coordination, and advanced analytics to keep large-scale projects on track.

Fully Managed Data Foundry Services

SuperAnnotate’s managed services take the operational burden off your team, handling everything from sourcing PhD-level experts to managing complex, multimodal workflows. We accept only 10% of applicants, screened, individually onboarded and ID verified. Your dedicated account team provides white-glove support ensuring quality and timely delivery.