shouldiuse.io

VERDICT

Should I use Labelbox?

From environments to custom evaluations, we partner with over 90% of leading AI labs in the US and the innovators defining the next frontier of AI. - labelbox.com

Depends. Buy if you run a serious ML operation needing scaled labeling, RLHF, and eval pipelines with enterprise budget. Skip it if you label a few thousand images occasionally — lighter, cheaper tools do that job.

Confidence

Medium. Based on ~20 public sources; many snippets truncated, so verbatim quotes unavailable.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualitySupport docs exist; no strong review evidence
  • Security posture

Pricing

$0

Free

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
Monthly subscriptionPaid monthly
EnterpriseCustom quote

Best for

  • ML teams labeling at scale
  • Frontier labs needing RLHF and evals
  • Computer vision pipelines with budget
  • Teams needing human-feedback workflows

Not for

  • Solo devs labeling a few hundred images
  • Small teams without ML budget
  • Anyone wanting simple, transparent pricing
  • Buyers needing a proven spotless security record

Gotchas - check before you buy

high

LBU consumption billing means costs scale with usage; heavy labeling can spike invoices fast.

medium

Plan limits cap LBUs even on paid tiers — check docs before committing.

medium

Enterprise pricing is opaque; benchmark via Vendr before negotiating.

medium

One trust index grades data handling 'D' — demand security documentation in procurement.

Pros and cons

Pros

  • Strong ~4.5/5 aggregate ratings across review sites
  • ISO 27001:2022 certified
  • Vendor claims 90%+ of leading US AI labs as partners
  • Google Cloud partnership for LLM human evaluation
  • Users praise the interface on G2

Cons

  • Pricing complaints dominate user feedback
  • Usage-based LBU billing is hard to predict
  • Third-party AI trust index grades data safety 'D'
  • Freelancer payment complaints recur on Reddit and Facebook

Sources & method

Analyzed 9/21/2026 - 10 sources - ISO 27001:2022 certified; no breaches found in sources reviewed; one third-party index grades data safety 'D'.

official x3review x4security x2news x1

Key stats

  • Value for money: 2/5

    Rating

  • $0

    Starting price

  • 10

    Sources

  • Analyzed

  • Value for money: 2/5. Pricing complaints dominate user feedback
  • Ease of use: 4/5. G2 users praise the interface
  • Feature depth: 5/5. Full RL data engine; frontier-lab use cases
  • Support quality. Support docs exist; no strong review evidence
  • Security posture: 3/5. ISO 27001 certified; one index grades D
  • 4.5/5 Aggregate rating Across review aggregators
  • ~$10/hr Benchmark price Vendr marketplace baseline
  • Yes Free tier Limited LBUs per month
  • $110M Series D SoftBank-led, 2022

Pricing

Free

$0

  • Limited LBUs per month
  • For evaluation and small projects

Monthly subscription

Paid monthly

  • Higher LBU limits
  • Self-serve features

Enterprise

Not disclosed

  • ~$10/hr Vendr benchmark
  • Custom SLAs and support

Security

ISO 27001:2022 certified; no breaches found in sources reviewed; one third-party index grades data safety 'D'.

What users say

G2 users praise the interface and feature depth, while pricing complaints and freelancer payment disputes recur across review sites.

Companies that use it

  • SomaDetect
Full analysis

Based on ~20 public sources; many snippets truncated, so verbatim quotes unavailable.

Enterprise AI data-labeling platform for serious ML teams; powerful but pricey and overkill for small jobs.

Methodology

Based on ~20 public sources; many snippets truncated, so verbatim quotes unavailable.

Sources

  1. review
  2. review
  3. official
  4. official
  5. Labelbox Limits - Docsdocs.labelbox.com
    official
  6. security
  7. security
  8. review
  9. news
  10. review

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