Labelbox

About Labelbox

Financials

Dated, source-cited figures. Estimates are marked.

Products by Labelbox

All products by Labelbox reviewed by our AI panel of experts.

LabelboxAI Data Tools

Data labeling and AI training platform for enterprise teams

Free7.9/10

How Our Review Panel Scores Labelbox

Six independent reviewer personalities assessed Labelbox's product on their own terms. They disagreed by 1.6 points — The Finance Lead was the hardest to convince, The Domain Strategist the most positive.

Averaged across 1 reviewed product in our catalog. Scores are out of 10.

Competitive Landscape

Who Labelbox competes with, and how they differ.

Scale AI7.6/10

Scale AI is the category leader in the same pivot toward frontier-lab data work, pairing labeling infrastructure with RLHF/evaluation services for the largest AI labs at greater scale and a higher valuation than Labelbox.

1 product reviewed on TopReviewed

Snorkel AI7.8/10

Snorkel AI competes on the tooling end with programmatic, weak-supervision labeling that reduces manual annotation volume, versus Labelbox's heavier reliance on a paid human expert workforce (Alignerr).

1 product reviewed on TopReviewed

M

Mercor8.0/10

Mercor is a talent marketplace that recruits and vets domain experts to train and evaluate frontier models for labs like OpenAI and Anthropic -- the same expert-workforce niche as Labelbox's Alignerr network, without Labelbox's software/annotation tooling layer.

1 product reviewed on TopReviewed

Turing7.7/10

Turing builds training environments and AGI research data for foundation-model developers alongside its original developer-staffing marketplace, putting it in direct overlap with Labelbox's frontier-lab data-factory pivot, though Turing still derives revenue from software-engineering placement too.

1 product reviewed on TopReviewed

V7 Labs7.2/10

V7 Labs focuses on computer-vision and document annotation tooling (auto-labeling, workflow automation) rather than Labelbox's broader push into RL environments and expert-driven evaluation for LLMs.

1 product reviewed on TopReviewed

Company Timeline

Key milestones in Labelbox's history, with sources.

1. Jun 24, 2026Launch

   Launched Recursion, an RL platform for enterprise specialist agents

   Labelbox introduced Recursion, a reinforcement-learning platform for developing, evaluating and deploying specialist AI agents, arguing that smaller models fine-tuned on an organization's own workflows via a continuous learning loop beat large generalist models on cost and performance -- a further step in Labelbox's shift from data-labeling tooling to an RL data/evaluation platform.

   labelbox.com
2. Feb 10, 2026Acquisition

   Acquired Upcraft to scale the Alignerr expert network

   Labelbox acquired Upcraft, an AI-powered sales-automation startup founded in 2021, to bring agent technology into Alignerr, Labelbox's network of over one million vetted domain experts who train and evaluate frontier AI models; deal terms were not disclosed.

   prnewswire.com
3. Jan 6, 2022Funding

   Series D -- $110M led by SoftBank Vision Fund 2

   Labelbox raised a $110 million Series D led by SoftBank Vision Fund 2, joined by new investors Snowpoint Ventures and Databricks Ventures alongside returning investors B Capital Group, Andreessen Horowitz and ARK Invest's Cathie Wood, bringing total funding to $189 million; CEO Manu Sharma said the round made the company "basically a unicorn."

   builtinsf.com
4. Feb 11, 2021Funding

   Series C -- $40M led by B Capital Group

   Labelbox closed a $40 million Series C led by B Capital Group, with Andreessen Horowitz, First Round Capital, Gradient Ventures, Kleiner Perkins and ARK Invest's Cathie Wood participating, bringing total funding to $79 million.

   venturebeat.com
5. Feb 4, 2020Funding

   Series B -- $25M led by Andreessen Horowitz

   Labelbox raised a $25 million Series B led by Andreessen Horowitz, with general partner Peter Levine joining the board and First Round Capital, Gradient Ventures and Kleiner Perkins participating, bringing total funding to $39 million.

   globenewswire.com
6. Apr 9, 2019Funding

   Series A -- $10M led by Gradient Ventures

   Labelbox raised a $10 million Series A led by Google's Gradient Ventures, with Kleiner Perkins, First Round Capital and angel investor Sumon Sadhu participating.

   techcrunch.com
7. 2018Funding

   Seed -- $3.9M led by Kleiner Perkins

   Labelbox raised a $3.9 million seed round led by Kleiner Perkins, with First Round and Gradient Ventures participating, funding the training-data annotation platform ahead of its public launch.

   techcrunch.com
8. September 2017Founded

   Founded by Manu Sharma, Daniel Rasmuson, Ysiad Ferreiras and Brian Rieger

   Manu Sharma founded Labelbox with Daniel Rasmuson, Ysiad Ferreiras and Brian Rieger after observing AI teams at Planet Labs and DroneDeploy independently building the same data-labeling tooling from scratch; the product launched in alpha in January 2018 and emerged from stealth in July 2018.

   techcrunch.com