Scale Rapid
Scale Rapid provides labeled data and instruction feedback for machine learning experiments, with Scale saying results can be available in as little as one h…
What Scale Rapid is
Scale Rapid provides labeled data and instruction feedback for machine learning experiments, with Scale saying results can be available in as little as one hour. Customers can create labeling projects, write and submit instructions, and upload data through the web interface or API. They can guide quality improvements by creating or updating evaluation tasks, then view quality and throughput metrics, including edge case detection. Listed annotation types include bounding boxes, polygons, lines, cuboids, ellipses, and points, and the product includes a review workflow. Scale identifies research teams and startups seeking training data for experimentation as intended users. Rapid is described as being in early access, with interested customers invited to join a waitlist or contact Scale. Scale's current page at the provided URL redirects to its general Data Engine page, which directs visitors to book a demo and does not list Rapid pricing.
Good
- Customers can create projects and their own instructions.
- Data upload is available through UI or API.
- Includes review workflow and six listed annotation types.
- Quality and throughput metrics include edge case detection.
- Pay-as-you-go plan has no minimum commitments or platform fees.
Watch out
- Early access; interested customers are directed to a waitlist or contact.
- Nucleus annotation return supports only four geometry types.
Who it suits
Scale Rapid is aimed at machine learning engineers, researchers, research teams, and startups looking for labeled data while experimenting with models and instructions. It may suit teams that want to upload data through a web interface or API and monitor quality and throughput.
Verdict
Scale Rapid combines project setup, labeling feedback, review, and workflow metrics for ML experimentation. It is in early access, and customers will need to contact Scale for availability and pricing details.
Plans and prices
From Scale Rapid's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Scale Rapid pay-as-you-go | Priced on request | No minimum commitments · No annual contracts · No platform fees · Pay as you go, per label; exact price not stated |
The facts
Each one read from Scale Rapid's own pages, with the date it was checked.
What it does
- 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.checked 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.checked 8 Oct 2026
- Compliance
- Scale reports SOC 2 Type II, ISO/IEC 27001:2022 certification, DoD IL4 Provisional Authorization, and FedRAMP High Authorization.checked 8 Oct 2026
- Customer examples
- Scale names Adobe, Bossanova, Grata, Square, and X2 AI as groups labeling batches with Scale Rapid.checked 8 Oct 2026
- Data upload
- Customers can upload data through the UI or API.checked 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.checked 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.checked 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.checked 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.checked 8 Oct 2026
- Project setup
- Customers can create their own labeling projects and design and submit their own labeling instructions.checked 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.checked 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.checked 8 Oct 2026
- Quality iteration
- Customers can direct quality improvements by creating or updating evaluation tasks.checked 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.checked 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.checked 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.checked 8 Oct 2026
- Workflow metrics
- Scale Rapid provides quality and throughput metrics, including edge case detection.checked 8 Oct 2026
The company
- Company background
- Scale says its headquarters are in San Francisco, California, and that it was founded in 2016.checked 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.checked 8 Oct 2026
- Founded
- 2016checked 28 Sep 2026
- Headquarters
- San Francisco, CAchecked 28 Sep 2026
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