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Data Labeling & RLHF Data EngineOrganic listing

Labelbox

Data engine platform for building AI training datasets, RLHF pipelines, and model evaluation tools for enterprise AI teams.

Last verified:

Labelbox provides a data-centric AI platform - spanning Annotate, Catalog, Foundry, and Model - that enterprises use to create, curate, and evaluate labeled datasets and RLHF/agent training data, with a Python SDK wrapping its underlying API. The company has moved away from publishing self-serve pricing tiers (its pricing page no longer resolves) and now positions itself as an 'RL data engine for AI teams,' routing purchases through a sales/contact form rather than transparent published tiers. Founded in 2018 and headquartered in San Francisco's Mission District, Labelbox has raised $189M to date from investors including SoftBank Vision Fund, Andreessen Horowitz, Kleiner Perkins, and Databricks.

Pricing

TierPriceKey features
Enterprise / CustomCustomAnnotate, Catalog, Foundry, and Model modules, 25+ cloud data source integrations, Custom contract via sales

Source: https://labelbox.com/sales/

Agent-readiness

39/100
Discoverability
55/100
Machine-readable content
65/100
Programmatic access
60/100
MCP / agent support
8/100
Self-serve transactability
25/100
Transparency
20/100

Security & compliance

SOC 2 Type IIGDPRCCPAHIPAA
SSO / SAML
Yes
Encryption at rest
Yes
Encryption in transit
Yes
Audit log
Yes
Pentest report
Not publicly documented

"Not publicly documented" means Crail found no public evidence either way — not a confirmed absence. See our methodology. Trust center: https://labelbox.com/company/security/.

FAQ

Does Labelbox have a free tier?

No — Labelbox does not offer a free tier as of 2026-07-27.

Can you buy Labelbox without talking to sales?

No — Labelbox requires a sales call to purchase.

Does Labelbox have an official MCP (Model Context Protocol) server?

Not as of 2026-07-27 — no official MCP server was found.

What compliance certifications does Labelbox hold?

Labelbox holds: SOC 2 Type II, GDPR, CCPA, HIPAA.

Reviews

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Methodology & disclosure

Data verified via agent crawled, last checked 2026-07-27. Agent-readiness methodology version crail-ar-v0.1. No vendor payment influences these scores — see our methodology page.