Quickly find the edge cases in your data
Finding rare examples in massive datasets or spotting infrequent model failures is almost like hunting for a needle in a haystack. These edge cases can be very important for improving performance—but also the hardest and most time-consuming to find. With Rapidata, you can distribute this search across thousands of people in parallel, dramatically reducing the time it takes to locate the examples you care about.
Whether you're digging through millions of data points or validating model outputs that fail only 0.1% of the time, Rapidata helps you do it at scale. We make it effortless to launch large-scale searches with rapid turnaround—so you can move from hypothesis to insight in a matter of hours.
Access a diverse pool of annotators from around the world. With advanced targeting features, you can specify exactly who should review your data—based on language, location, or domain expertise. This ensures high-quality input for even the rarest or most nuanced examples, helping you fine-tune your models with confidence.
Our API and Python SDK make it easy to submit large datasets, define complex filtering or labeling tasks, and stream results back into your workflow. Whether you're running an initial sweep or ongoing validation, Rapidata integrates directly into your existing data pipeline.