Labelbox: Funding, Investors & Team (Sep 2026)
Labelbox is a collaborative data training platform that creates and manages labeled data for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox's platform acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. This solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, the company's main product makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications. It is backed by investor B Capital Group, Andreessen Horowitz, First Spherical Capital, and Kleiner Perkins. The San Francisco, California-based company was founded in 2017 by Brian Rieger, Daniel Rasmuson, and Manu Sharma.
Labelbox has raised $150M across 2 funding rounds on record, the most recent a Series D of $110M announced in Jan 2022.
That round is above the $5.7M median round size for Artificial Intelligence companies tracked on FundedIQ over the last two years.
Labelbox Company Profile and Key Stats
Latest funding round on record: Jan 2022.
Labelbox Funding Rounds
Labelbox raised $40.0M in a Series C announced in Feb 2021.
11 months later, a Series D of $110M was announced in Jan 2022.
Labelbox Founders and Leadership Team
Contact details for the Labelbox team: 1 of 1 has an email address on file.
Start 14-day free trial →Labelbox Funding Compared to Other Artificial Intelligence Startups
Labelbox's latest round of $110M is above the median round in Artificial Intelligence. Medians cover the last 24 months of disclosed rounds.
Funded Startups Like Labelbox in Artificial Intelligence and San Francisco
Companies Similar to Labelbox
Cradlewise is an intelligent baby crib that learns from the baby's sleep patterns, spots the first signs of…
Capacity is an AI-powered helpdesk that automates support for customers and employees. Capacity connects…
AfterQuery is an artificial intelligence research and data platform focused on creating high-quality,…
The future of translation is conversational and Language I/O’s proprietary machine translation optimization…
Greptile is a platform driven by artificial intelligence that evaluates codebases and improves development…
Rhealth is a biotechnology company offering hospitals health management solutions utilizing advanced AI…
Socure is a predictive analytics platform for digital identity verification of consumers. Socure's predictive…
Instinct is an artificial intelligence startup developing AI technology.
Significant gives vehicle-mounted PC vision innovation that distinguishes visual deformities in network…
Cloverleaf AI exists to help you fill your pipeline with high-quality SLED leads. Tell us what you deliver,…
Emerald AI develops software and platforms that manage and coordinate energy use for artificial intelligence…
Labelbox Funding FAQs
What does Labelbox do?
Labelbox is a collaborative data training platform that creates and manages labeled data for machine learning applications. Rather than requiring companies to build their own expensive and incomplete homegrown tools to create or manage training data, Labelbox's platform acts as a central hub for data science teams to create and manage training data with internal or external labeling teams. This solves the problem of taking artificial intelligence and machine learning initiatives from research and development into production. In addition to working directly with their customers, the company's main product makes it easy to create and manage labeled data, enabling rapid deployment of artificial intelligence applications. It is backed by investor B Capital Group, Andreessen Horowitz, First Spherical Capital, and Kleiner Perkins. The San Francisco, California-based company was founded in 2017 by Brian Rieger, Daniel Rasmuson, and Manu Sharma.
How much funding has Labelbox raised?
Labelbox has raised $150M across 2 rounds on record. The most recent is a Series D of $110M announced in Jan 2022.
When did Labelbox last raise funding?
Labelbox's most recent funding round on record is a Series D of $110M, announced in Jan 2022.
Who is the CEO of Labelbox?
Manu Sharma is listed as CEO at Labelbox.
Where is Labelbox headquartered?
Labelbox is based in San Francisco, California, United States.
How many employees does Labelbox have?
Labelbox is in the 101-250 employee band.
How does Labelbox's funding compare to other Artificial Intelligence startups?
Labelbox's latest round of $110M is above the $5.7M median round size for Artificial Intelligence companies on FundedIQ across 7,234 tracked companies over the last two years.
About FundedIQ's Labelbox Funding Data
FundedIQ tracks announced funding rounds and refreshes this profile every week. Round dates, stages and amounts are normalised to a single format, converted to US dollars, and de-duplicated: two records of the same round announced days apart are merged, and two genuinely different rounds are kept apart on the amounts they disclose. Amounts shown are the disclosed figures only — a round announced without a number is listed and excluded from the total rather than estimated.
Employee counts are reported bands, not exact headcounts. Founder and executive names carry the job title on record. Anything we do not hold for Labelbox is left off this page rather than filled in.
Know who just raised. Then know who to reach.
Every newly funded startup with its round, its investors and its founders: delivered weekly by email, or searchable in the app.
Alerts from $19/mo · Pro from $99/mo. Card required, nothing charged until day 15, and we email you 3 days before that.