AI Data
Labelbox vs Snorkel AI
Two ai data tools, what each is better at, what each costs, and the one we would pick.
We rate it higher
Labelbox
Data engine and RL environments for training and evaluating AI models
Pros
- ✓ Homepage states over 90% of leading US AI labs use Labelbox's RL environments.
- ✓ Alignerr network is stated as 2.6M+ knowledge experts.
- ✓ Recursion runs agents across systems including GitHub, Notion, Slack, and Docs.
Cons
- ✗ No pricing information is available on the pricing page.
- ✗ No free plan details are given beyond a "Start for free" button.
We rate it higher
Snorkel AI
Expert data development for frontier AI models and agents
Pros
- ✓ Founded out of the Stanford AI Lab and has worked on frontier AI data for nearly a decade.
- ✓ Publishes benchmarks and research, including Terminal-Bench, Senior SWE-bench, OSWorld 2.0, and Agents' Last Exam.
- ✓ Offers both data development services and custom specialized agents.
Cons
- ✗ No public pricing; the pricing page returns a 404, so costs are only available by contacting sales.
- ✗ No self-serve product or free tier is described on the site.
| Labelbox | Snorkel AI | |
|---|---|---|
| From | Contact | Contact |
| Free Tier | No | No |
| Our Rating | Not rated | Not rated |
| Pricing | enterprise | enterprise |
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Summary
We have not used both of these yet, so there is no score to pick a winner with. What they cost, who they suit and what each one does is in the table above.
Some links here earn us a commission. We earn it whether we praised the tool or not, which is why the verdict does not move for it.