Vendor profile · Directory · Platform
Label Studio (HumanSignal)
The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
| Model | Open-source labeling platform + cloud/enterprise editions |
|---|---|
| Founded | 2019 |
| Headquarters | San Francisco, CA |
| Pricing | Published — Community free (open source); Starter Cloud $99/mo + $49/extra user; Enterprise custom |
| Website | labelstud.io |
What Label Studio (HumanSignal) does
Label Studio is built by HumanSignal, founded in San Francisco in 2019. The open-source Community edition labels text, image, audio, video and time-series data in one interface and reports 250,000+ users; enterprises named include Zendesk, Trivago and Outreach.
HumanSignal publishes its cloud pricing: Starter Cloud is $99/month plus $49/month per additional user (up to 12 users), while Enterprise — SSO/SAML, LLM-as-a-judge, auto-labeling, bulk labeling — is custom-quoted, as are its Data Services for expert annotation and evaluation.
Strengths
- Open-source, multimodal, and the fastest route to a working labeling UI without procurement
- Published Starter pricing — rare among enterprise platforms
- Enterprise adds the quality and governance features the OSS edition lacks
Considerations
- The free edition omits SSO, auto-labeling and most quality-control workflows
- Enterprise and Data Services pricing is quote-only
- You operate the pipeline — hosting, upgrades, annotator management
Other platforms in the directory
- Labelbox — The platform pick: run annotation in-house on published usage pricing, and bolt on expert services (Alignerr) only where you need them.
- Prolific — The transparency benchmark: a self-serve participant platform with fully published pricing and an enforced participant pay floor.
- Kili Technology — A Paris-built enterprise platform for annotation and LLM evaluation, sold to regulated industries that need data quality controls more than raw labeling volume.
- SuperAnnotate — A multimodal annotation platform that has grown an expert-services arm (SME) hiring domain specialists for AI training and evaluation work.
- Encord — A data infrastructure platform — Annotate, Index, Active — built for physical AI: robotics, autonomous vehicles and sensor-heavy multimodal data.
- CVAT — The open-source annotation workhorse: born at Intel, now run by CVAT.ai as a free self-hosted Community edition plus paid cloud and enterprise tiers with published prices.
- Lightly AI — An ETH Zurich spin-off built on one idea: label less, but label the right data — curation and self-supervised pretraining first, annotation second.
- BasicAI — A platform-and-services company built around multi-sensor data — LiDAR fusion annotation for automotive and robotics is its home ground.
- V7 — The London platform company behind Darwin — AI-assisted visual annotation with a low-cost self-serve entry — now also selling document-workflow agents as V7 Go.
- Dataloop — An Israeli data-pipeline and annotation platform with a strong autonomous-vehicle story — acquired by Dell Technologies in December 2025.
Frequently asked questions
What does Label Studio (HumanSignal) do?
The most popular open-source labeling tool — multimodal by design — with HumanSignal selling cloud and enterprise editions and optional expert data services.
How much does Label Studio (HumanSignal) cost?
Label Studio (HumanSignal) publishes pricing: Published — Community free (open source); Starter Cloud $99/mo + $49/extra user; Enterprise custom. Confirm current terms on the vendor's site before budgeting, as vendors change plans.
Who is Label Studio (HumanSignal) best for?
Teams that want an open-source core they can inspect and self-host, with a priced on-ramp to managed cloud and enterprise controls.
Who should not use Label Studio (HumanSignal)?
Programs needing the workforce included by default — annotators are yours unless you buy Data Services separately.
Sources
- Label Studio / HumanSignal pricing profile — G2 (2026)
- Data labeling, RLHF and human evaluation vendors — seminal.ai reference (checked Sep 2026)
Facts on this page were drawn from the public sources above, checked November 2026. If you spot an error, tell us at the corrections address in the footer — we fix sourced errors and note the change.
Profile last updated: November 8, 2026 · How we write profiles · Corrections: [email protected]