Scale Rapid: Fast Experimentation with Production-Quality Labels
For many ML teams, acquiring high quality labeled data is a barrier to
iterating quickly on different models. That’s why we’re thrilled to offer
early access to Scale Rapid, a new
product that enables machine learning engineers and researchers to
receive high-quality labels and instruction feedback in as little as one
hour.
With Scale Rapid, you can:
- Create your own labeling projects
- Upload your data labeling via UI or API
- Design and submit your own labeling instructions
- Direct quality improvements with new or updated evaluation tasks
Scale was founded to solve the challenge of scaling data labeling pipelines to
production-level volumes. Today, as more diverse and agile teams experiment
with ML, those teams are all too often blocked by the inability to update and
receive prompt feedback on labeling instructions for rapid iteration. Scale
Rapid solves for this by providing:
- Production-quality labels at lower volumes
- More insight and control over labelling workflow through quality and
- throughput metrics, including edge case detection
- No minimum commitments, annual contracts, or platform fees. You can pay as
- you go, per label, not hourly rates—with a credit card, not a contract
Our product architects have worked closely with some of the most seasoned deep
learning and ML teams in the world. We quickly realized that getting quality
labeled data, and getting it fast, is often the obstacle to getting good
results from experimental models. In order to stay agile, research teams and
startups alike need access to the best training data possible in the shortest
amount of time. Scale Rapid solves these problems by using Scale’s core
operations infrastructure and enabling an iterative feedback loop with the
customer.
Currently in Early Access,
Scale Rapid gives customers the fastest
way to production-quality labels with no data minimums, while offering full
control.
What customers are saying about Rapid:
Other research and engineering groups at Adobe, Bossanova, Grata, Square,
and X2 AI are also labeling rightsized batches of data with Scale Rapid.
If you are looking for a cost-effective data annotation solution for rapid
experimentation, join the waitlist or contact us today for more information
on our early access program.
To learn more about Scale Rapid, watch our
Tech Talk that was held
on August 18th, we walked through a live demo and took questions.
Other recent product advances:
Scale Rapid isn’t our only recent product development. To expand on the
image training needs for autonomous vehicle customers, we launched
Scale Mapping to address both
computer vision and path planning needs. Also,
Scale Nucleus helps you curate your
dataset and select edge cases, false positives, and under-represented
classes for labeling rather than simply randomly sampling your dataset for
labeling.
Join the waitlist or
contact us today for more information
on our early access program.