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SPECIFICTION
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Scale Rapid

scale.com

WebAPI
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Spec score 7.4 #19 of 24 in AI Image Annotation Tools

What it is

Scale Rapid provides machine learning engineers and researchers with labeled data and instruction feedback for experiments, with availability described as being possible 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 improve quality by creating or updating evaluation tasks, then inspect quality and throughput metrics, including edge case detection. Rapid supports bounding box, polygon, line, cuboid, ellipse, and point annotations, and includes a review workflow. Research teams and startups can use it while iterating on experimental models and labeling instructions. Scale describes Rapid as early access and directs interested customers to a waitlist or contact process. The paid, pay-as-you-go plan is billed per label, with no minimum commitments, annual contracts, or platform fees. Listed platforms are web and API. Scale documentation includes product guides, workflows, API concepts, and endpoint references.

Spec sheet

Purpose
Scale Rapid provides machine learning engineers and researchers with high-quality labels and instruction feedback, in as little as one hour.Read 8 Oct 2026 · learn.scale.com
Intended users
Scale identifies research teams and startups seeking fast access to training data for ML experimentation as users Rapid is intended to serve.Read 8 Oct 2026 · learn.scale.com
Compliance
Scale reports SOC 2 Type II, ISO/IEC 27001:2022 certification, DoD IL4 Provisional Authorization, and FedRAMP High Authorization.Read 8 Oct 2026 · scale.com
Headquarters
San Francisco, CARead 28 Sep 2026 · scale.com
Founded
2016Read 28 Sep 2026 · scale.com
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.Read 8 Oct 2026 · nucleus.scale.com
Availability
Scale describes Rapid as being in early access and invites interested customers to join the waitlist or contact the company for details.Read 8 Oct 2026 · learn.scale.com
Company background
Scale says its headquarters are in San Francisco, California, and that it was founded in 2016.Read 8 Oct 2026 · scale.com
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.Read 8 Oct 2026 · scale.com
Customer examples
Scale names Adobe, Bossanova, Grata, Square, and X2 AI as groups labeling batches with Scale Rapid.Read 8 Oct 2026 · learn.scale.com
Data upload
Customers can upload data through the UI or API.Read 8 Oct 2026 · learn.scale.com
Documentation and API
Scale's documentation page provides product guides, workflows, and product documentation, as well as API concepts and endpoint reference documentation.Read 8 Oct 2026 · scale.com
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.Read 8 Oct 2026 · learn.scale.com
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.Read 8 Oct 2026 · scale.com
Project setup
Customers can create their own labeling projects and design and submit their own labeling instructions.Read 8 Oct 2026 · learn.scale.com
Quality feedback
Customers can direct quality improvements with new or updated evaluation tasks, and view quality and throughput metrics including edge case detection.Read 8 Oct 2026 · learn.scale.com
Quality iteration
Customers can direct quality improvements by creating or updating evaluation tasks.Read 8 Oct 2026 · learn.scale.com
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.Read 8 Oct 2026 · nucleus.scale.com
Security program
Scale says it embeds security throughout its platform and designs its security program to safeguard customer data and reduce security events.Read 8 Oct 2026 · scale.com
Target users
Scale says research teams, startups, machine learning engineers, and researchers can use Rapid to iterate on experimental models and labeling instructions.Read 8 Oct 2026 · learn.scale.com
Workflow metrics
Scale Rapid provides quality and throughput metrics, including edge case detection.Read 8 Oct 2026 · learn.scale.com

Plans and prices

Scale Rapid pay-as-you-go Priced on request Pay as you go, per label; exact price not stated No minimum commitments · No annual contracts · No platform fees Read 8 Oct 2026 · learn.scale.com

Every Scale Rapid plan and price →

Strong points and limits

Strong points

  • Customer-defined labeling projects and instructions
  • Web and API data upload
  • Quality and throughput metrics
  • Six listed annotation types
  • Pay-as-you-go without platform fees

Limits

  • Product is described as early access
  • Some Nucleus geometries do not flow back

Who it suits

Rapid is aimed at research teams, startups, machine learning engineers, and researchers who need configurable labeling and feedback workflows for experiments. It suits teams wanting web and API access with review and quality metrics.

Verdict

Scale Rapid offers configurable labeling, evaluation-driven quality iteration, review, and API access for machine-learning experimentation. Its early-access status and per-label pricing mean buyers should clarify availability and costs before committing.

Where Specifiction places it

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