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Scale Rapid
San Francisco, CA
What it is
Scale Rapid is a paid web and API service for machine learning engineers, researchers, research teams, and startups seeking labeled data and instruction feedback for experiments. Scale says results can be available in as little as one hour. Customers create labeling projects, write and submit their own instructions, and upload data through the interface or API. They can improve quality by creating or updating evaluation tasks, then review quality and throughput metrics, including edge case detection. Annotation options include bounding box, polygon, line, cuboid, ellipse, and point, with a review workflow. Rapid is described as being in early access, with access through a waitlist or company contact. Its pay-as-you-go plan is billed per label; no exact price is listed, and Scale states there are no minimum commitments, annual contracts, or platform fees. Nucleus can send supported project slices by project ID, though only certain geometric annotations flow back.
For and against
For
- Create projects and labeling instructions
- Upload data through UI or API
- Six listed annotation types
- Quality and throughput metrics
- Review workflow included
Against
- Early access availability
- Pay-as-you-go price not listed
- Some Nucleus geometries do not flow back
- Rapid coverage of security certifications unspecified
The verdict
Scale Rapid combines configurable labeling projects, feedback-driven quality iteration, and several annotation types with web and API access. Buyers should account for its early-access status and per-label pricing details that are not published.
Who it suits
It suits ML research teams, startups, engineers, and researchers iterating on experimental models or labeling instructions. It is also relevant to buyers needing web, API, and review-based annotation workflows.
Plans and prices
Scale Rapid pay-as-you-go
No minimum commitments · No annual contracts · No platform fees
Read 8 Oct 2026 · learn.scale.com
On the record
- 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 · read 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 · read 8 Oct 2026
- Company background
- Scale says its headquarters are in San Francisco, California, and that it was founded in 2016.scale.com · read 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 · read 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 · read 8 Oct 2026
- Customer examples
- Scale names Adobe, Bossanova, Grata, Square, and X2 AI as groups labeling batches with Scale Rapid.learn.scale.com · read 8 Oct 2026
- Data upload
- Customers can upload data through the UI or API.learn.scale.com · read 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 · read 8 Oct 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 · read 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 · read 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 · read 8 Oct 2026
- Project setup
- Customers can create their own labeling projects and design and submit their own labeling instructions.learn.scale.com · read 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 · read 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 · read 8 Oct 2026
- Quality iteration
- Customers can direct quality improvements by creating or updating evaluation tasks.learn.scale.com · read 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 · read 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 · read 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 · read 8 Oct 2026
