Scale AI
Dataset preparation and AI model assurance platform for enterprise systems
- Also known as
- scale-ai
Available worldwide · Popular in: US
What is Scale AI?
Platform providing high-quality training data through crowdsourced annotation and data management, rigorous evaluation and red-teaming of AI models, and enterprise software for building, deploying, and monitoring production AI systems.
Scale AI pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Enterprise (contact sales) and Self-Serve pay-as-you-go tiers with free tier
Enterprise
Contact salesStrategic AI initiatives with enterprise-grade quality and SLAs
- Enterprise-grade quality & SLAs
- Access to Data Engine and Enterprise GenAI Platform
- Dedicated customer operations support
- Data annotation services
- Data management
- Custom enterprise AI applications
Self-Serve Data Engine
Pay-as-you-go data annotation and management for experimental or research projects
- images
- 10,000 free
- Data annotation and management for ML projects
- Quality optimization
- Free tier: 10,000 images
What Scale AI does
The capabilities that matter for data labeling, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Model assisted labeling
- -
- Programmatic labeling
- -
- Rlhf preference data
- ✓
- On prem private cloud
- -
- Open source
- -
- SOC2
- ✓
Platform & deployment
Independently observed- Web
- Cloud / SaaS
Scale AI alternatives
Other data labeling we track, ranked by the same independent score.
- CVATA comprehensive data annotation platform designed for computer vision teams to convert raw visual data into training-ready datasetslow · 26%
- iMeritData labeling and model fine-tuning platformlow · 14%
- AppenDeliver human-validated data to train advanced AI systems with nuance and contextual understanding at scalelow · 13%
- Kili TechnologyPlatform for building high-quality training datasets through collaborative annotation and labelingmedium · 55%
- Amazon SageMaker Ground TruthService that helps organizations customize AI models through human feedback and expert guidance to improve accuracy and performance for specific use casesmedium · 54%
- LabelboxInfrastructure and services for collecting, managing, and evaluating training data for AI systemslow · 21%
Compare Scale AI
Side by side against other data labeling, attribute by attribute, with a source on every value.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Scale AI, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing transparency | 80 | 0.08 | 6.7 | ✓ |
| Security posture | 75 | 0.07 | 5.5 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Capabilities | 67 | 0.05 | 3.3 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Integrations | 0 | 0.04 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2: Yes · Soc2 type ii: Yes · Architecture model: managed_cloud_saas_platform · Rlhf preference data: Yes · Rlhf and dpo preference alignment optimization: Yes | mediumsource · 2026-08-21 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | HqCountry: US · PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-08-21 · 75% |