Today, we are thrilled to announce the
General Availability of
Scale Rapid, the fastest way to
production-level quality labels, with no data minimums. With Scale Rapid, ML
teams can get an initial set of high-quality training data in a matter of
hours. We are also pleased to announce a new
University Research Program, offering students and researchers reduced rates on Scale Rapid.
Often, quality labeled data will be the blocker in experimenting with
different model setups. Slow iteration speed with labeling can significantly
slow down AI development.
Using Scale Rapid, ML teams can stand up production-quality data pipelines in
three simple steps: set up a project, calibrate on instructions and quality,
then scale to production.
With Scale Rapid, ML teams can:
- Experiment quickly by setting up labeling projects in
- minutes and receiving initial datasets within hours.
- Iterate over potential edge cases and instructions by
- getting fast and real-time feedback on labeling instructions and ensure
- high-quality annotations.
- Scale to production-level pipelines in days with precision
- quality control. No need for lengthy contract negotiations, purchase order,
- or committed spend.
Scale Rapid has already annotated more than 750k image and text tasks during
the Early Access period with usage doubling month over month. We look
forward to improving more ML teams’ iteration speed by providing extremely
fast turnarounds for high-quality data.
Stop waiting for your labels and
today. For university rates, apply
here.