AI Data
Holistics vs Labelbox
Two ai data tools, what each is better at, what each costs, and the one we would pick.
We rate it higher
Holistics
From $800/mo
Self-service BI and AI analytics on a code-defined semantic layer
Pros
- ✓ Metrics, models and dashboards are defined as code in AML with Git version control and pull-request review.
- ✓ The same semantic layer feeds dashboards, AI answers and embedded analytics, so numbers stay consistent across surfaces.
- ✓ The semantic layer can be queried from external tools such as Claude, ChatGPT and Cursor over MCP and APIs.
Cons
- ✗ No free plan is listed; the cheapest paid plan is $800/month on yearly billing.
- ✗ Every plan includes only the first 10 users, and additional users are charged as add-ons.
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.
| Holistics | Labelbox | |
|---|---|---|
| From | $800/mo | Contact |
| Free Tier | No | No |
| Our Rating | Not rated | Not rated |
| Pricing | paid | 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.