Scale AI vs PVML
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Scale AI starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Managed data labeling
- RLHF and expert data
- Model evaluations
- Data Engine platform
- Public leaderboards
- Unlimited virtual databases
- No data movement or duplication
- Built-in security controls
- Governance for AI agents
- Runs on existing infrastructure
| Feature | Scale AI | PVML |
|---|---|---|
| Best for | Training data, evaluation and data labeling for frontier AI | Secure virtual databases for running AI on existing data |
| Category | Data & analytics | Data & analytics |
| Pricing model | Paid | Paid |
| Starting price | See pricing page | See pricing page |
| Free plan | No | No |
| Made by | Scale AI | PVML |
| Based in | United States | – |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Scale AI starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Scale AI
- Handles very large labeling projects
- Expert contributors for hard tasks
- Strong evaluation work
- Built for large contracts
- Some labs moved to rivals after Meta deal
PVML
- Leaves data where it already lives
- Targets AI agent permission risks
- Works with existing infrastructure
- Demo required, no public pricing
- Aimed at enterprise IT teams
- Few product details on the homepage
Which one should you choose?
Choose Scale AI if you want:
- Handles very large labeling projects
- Expert contributors for hard tasks
- Strong evaluation work
Watch out: built for large contracts.
Choose PVML if you want:
- Leaves data where it already lives
- Targets AI agent permission risks
- Works with existing infrastructure
Watch out: demo required, no public pricing.
Scale AI vs PVML FAQ
What is the difference between Scale AI and PVML?
Scale AI: Training data, evaluation and data labeling for frontier AI. PVML: Secure virtual databases for running AI on existing data. Both are data & analytics tools.
Is Scale AI or PVML cheaper?
Scale AI starts at See pricing page and PVML starts at See pricing page. Check both pricing pages for current plans.
Do Scale AI and PVML have free plans?
Scale AI: No. PVML: No.
Who makes Scale AI?
Scale AI is made by Scale AI, based in United States.
Who makes PVML?
PVML is made by PVML.
Which should I choose, Scale AI or PVML?
Choose Scale AI if you value handles very large labeling projects and expert contributors for hard tasks. Choose PVML if you value leaves data where it already lives and targets ai agent permission risks.