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Scale Rapid
What Scale Rapid is
Scale Rapid provides labeled data and instruction feedback for machine learning experiments, with results described as available in as little as one hour. Customers can create labeling projects, write and submit their own instructions, and upload data through the web interface or API. They can guide quality improvements by creating or updating evaluation tasks, then review quality and throughput metrics, including edge case detection. Listed annotation types are bounding box, polygon, line, cuboid, ellipse, and point, and the product includes a review workflow. Scale describes Rapid as being in early access and invites interested customers to join a waitlist or contact the company for details. It is aimed at research teams and startups, as well as machine learning engineers and researchers seeking training data for model experimentation. Scale's current Rapid URL redirects to its general Data Engine page, which directs visitors to book a demo.
Who it suits
It suits research teams, startups, machine learning engineers, and researchers who need labeled data and want to iterate on models or labeling instructions. It may be relevant to teams comfortable with an early-access product.
What it does well
- Customers can create projects and submit their own instructions.
- Data upload is available through the UI or API.
- Quality and throughput metrics include edge case detection.
- Six annotation types and a review workflow are listed.
- Pay-as-you-go plan has no minimum commitments.
What to know first
- Rapid is described as being in early access.
- Only bounding box, polygon, line, and cuboid annotations flow back into Nucleus.
- Scale's Rapid URL redirects to its general Data Engine page.
Limits
The pay-as-you-go plan has no minimum commitments, annual contracts, or platform fees, but usage is billed per label. For Nucleus integrations, only bounding box, polygon, line, and cuboid annotations flow back.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Scale Rapid pay-as-you-go | Pay as you go, per label; exact price not stated · No minimum commitments · No annual contracts · No platform fees | On request |
As scale.com lists them, read 8 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the Scale Rapid website
- Join the early-access waitlist or contact Scale
- Create a labeling project
- Write and submit labeling instructions
- Upload data through the web interface or API
- Use pay-as-you-go labeling billed per label
Verdict
Scale Rapid offers flexible project setup, data upload, annotation options, and quality feedback for machine learning work. It is in early access, and interested customers are directed to a waitlist or to contact Scale for details.
Questions
How is Scale Rapid billed?
It is a paid, pay-as-you-go service billed per label, with no minimum commitments, annual contracts, or platform fees.
Which platforms are available?
Scale Rapid is available through the web and an API.
What annotation types are supported?
Bounding box, polygon, line, cuboid, ellipse, and point annotations are listed.
Is a review workflow included?
Yes, Rapid includes a review workflow.
Who is Rapid intended for?
Scale identifies research teams, startups, machine-learning engineers, and researchers as intended users.
Is Scale Rapid generally available?
Scale describes Rapid as being in early access and directs interested customers to a waitlist or contact.
Facts from Scale Rapid's own pages
- Annotation limits
- For geometric annotations sent through Nucleus, only bounding box, polygon, line, and cuboid annotations flow back into Nucleus; other geometries may be annotated but will not flow back. · nucleus.scale.com, 8 Oct 2026
- Availability
- Scale describes Rapid as being in early access and invites interested customers to join the waitlist or contact the company for details. · learn.scale.com, 8 Oct 2026
- Company background
- Scale says its headquarters are in San Francisco, California, and that it was founded in 2016. · scale.com, 8 Oct 2026
- Company security
- Scale's security page lists SOC 2 Type II, ISO/IEC 27001:2022 certification, DoD IL4 provisional authorization, and FedRAMP High authorization for Scale; the page does not specify Rapid's individual coverage. · scale.com, 8 Oct 2026
- Compliance
- Scale reports SOC 2 Type II, ISO/IEC 27001:2022 certification, DoD IL4 Provisional Authorization, and FedRAMP High Authorization. · scale.com, 8 Oct 2026
- Customer examples
- Scale names Adobe, Bossanova, Grata, Square, and X2 AI as groups labeling batches with Scale Rapid. · learn.scale.com, 8 Oct 2026
- Data upload
- Customers can upload data through the UI or API. · learn.scale.com, 8 Oct 2026
- Documentation and API
- Scale's documentation page provides product guides, workflows, and product documentation, as well as API concepts and endpoint reference documentation. · scale.com, 8 Oct 2026
- Founded
- 2016 · scale.com, 28 Sept 2026
- Headquarters
- San Francisco, CA · scale.com, 28 Sept 2026
- Intended users
- Scale identifies research teams and startups seeking fast access to training data for ML experimentation as users Rapid is intended to serve. · learn.scale.com, 8 Oct 2026
- Pricing model
- Scale says Rapid has no minimum commitments, annual contracts, or platform fees; customers pay as they go per label, using a credit card. · learn.scale.com, 8 Oct 2026
- Product access
- Scale's current page at the provided Rapid URL redirects to its general Data Engine page, which directs visitors to book a demo and does not list Rapid pricing. · scale.com, 8 Oct 2026
- Project setup
- Customers can create their own labeling projects and design and submit their own labeling instructions. · learn.scale.com, 8 Oct 2026
- Purpose
- Scale Rapid provides machine learning engineers and researchers with high-quality labels and instruction feedback, in as little as one hour. · learn.scale.com, 8 Oct 2026
- Quality feedback
- Customers can direct quality improvements with new or updated evaluation tasks, and view quality and throughput metrics including edge case detection. · learn.scale.com, 8 Oct 2026
- Quality iteration
- Customers can direct quality improvements by creating or updating evaluation tasks. · learn.scale.com, 8 Oct 2026
- Scale integration
- Scale Nucleus documentation says users can send a slice to an existing Scale or Rapid labeling project by project ID; supported Nucleus project types include general image, general video, and LiDAR cuboid annotation. · nucleus.scale.com, 8 Oct 2026
- Security program
- Scale says it embeds security throughout its platform and designs its security program to safeguard customer data and reduce security events. · scale.com, 8 Oct 2026
- Target users
- Scale says research teams, startups, machine learning engineers, and researchers can use Rapid to iterate on experimental models and labeling instructions. · learn.scale.com, 8 Oct 2026
- Workflow metrics
- Scale Rapid provides quality and throughput metrics, including edge case detection. · learn.scale.com, 8 Oct 2026
Where Scale Rapid stands on Freedom251
- AI Image Annotation Tools#22 of 24