Labelbox
San Francisco, US · Founded 2018 · 479 employees on LinkedIn · 9 known investors
Labelbox provides data infrastructure, environments, and evaluation tools for AI teams to build, evaluate, and improve AI agents and models. The platform serves both frontier AI labs and enterprise customers implementing AI on real workflows.
Founders & leadership
Labelbox was founded in 2018 by Manu Sharma.
MS
Manu Sharmain𝕏CEOBefore co-founding Labelbox in 2018, Manu Sharma held product manager roles at satellite imaging company Planet and at DroneDeploy, where he also worked as a drone engineer. He earlier founded Ardulab/Infinity Aerospace and Nuovo Wind, and attended Singularity University's Graduate Studies Program in 2012.
Investors · 9
Andreessen HorowitzMenlo Park · $500K – $50M
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B Capital GroupManhattan Beach · $10M – $50M
B4 Capital$10M – $50M
Gradient VenturesSan Francisco · $100K – $10M
In-Q-TelTysons · $100K – $2.5M
Kleiner PerkinsMenlo Park · $500K – $15M
SoftBank Vision FundLondon
Tau VenturesPalo Alto · $500K
Databricks VenturesreportedSan Francisco
Funding
SEC filings, press & company announcements- Undisclosed amountSeries EOct 2025Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Competitors · 9
by search overlap
Netezza522 shared keywordsIBM is a global technology company whose business spans enterprise software (including Red Hat, HashiCorp, and Confluent), IT infrastructure such as mainframes, servers, and storage, and IT consulting services. The company is also investing heavily in quantum computing and AI-based enterprise offerings, including its Lightwell open-source software security clearinghouse and the Anderon quantum wafer foundry.
Encord422 shared keywordsEncord provides a data platform for developing and deploying multimodal AI systems, serving AI development teams at scale across training and production environments.
Super Annotate330 shared keywordsSuperAnnotate is a data platform used to build, manage, and refine training data for AI and machine learning models. It is positioned as a data pipeline partner for teams developing AI systems.
Hugging Face254 shared keywordsHugging Face is a collaboration platform that hosts and provides access to machine learning models, datasets, and applications. It offers both open-source tools for the ML community and paid compute and enterprise solutions for teams building AI applications.
Roboflow247 shared keywordsRoboflow provides tools for developers to build and deploy computer vision applications, including image annotation, model benchmarking, and dataset management. The platform serves software engineers and enterprises who need to create vision-based applications.
DataCamp246 shared keywordsDataCamp is a learning platform for teams that teaches data and AI skills through hands-on coursework accessible via web browser and mobile app. It serves enterprise customers and development teams seeking to build technical capabilities.
Ultralytics189 shared keywordsUltralytics provides an end-to-end computer vision platform for annotating images and videos, training YOLO models on cloud infrastructure, and deploying models across 42 global regions. The platform serves developers and enterprises across industries including manufacturing, healthcare, automotive, agriculture, retail, and logistics.
Cloudfactory188 shared keywordsCloudFactory provides a platform and consulting services to develop, deploy, and operate AI systems in production, combining quality data preparation, model fine-tuning, human validation, and inference oversight. It serves enterprises in high-stakes sectors such as healthcare, finance, robotics/embodied AI, retail, logistics, manufacturing, and agriculture.
Toloka Group161 shared keywordsToloka provides expertly curated training and evaluation data as a managed service for developing AI agents and large language models, covering agentic skills, AI safety, coding, reasoning, and multimodal generation. It serves AI developers ranging from large tech companies to startups, drawing on a global network of data workers across many languages and knowledge domains.
Companies competing with Labelbox for the same Google search keywords, organic and paid, via search-intersection analysis.
Non-dilutive funding · 1 SBIR/STTR award
Federal grants — no equity taken| Agency | Phase | Year | Amount |
|---|---|---|---|
| U.S. Air ForceAir Force | Phase I | 2020 | $50K |
Source: SBIR.gov award data (U.S. Small Business Administration). SBIR/STTR awards are competitive federal R&D grants and contracts — non-dilutive capital alongside any venture rounds above.
In the news
Frequently asked questions
- What does Labelbox do?
- Labelbox provides data infrastructure, environments, and evaluation tools for AI teams to build, evaluate, and improve AI agents and models. The platform serves both frontier AI labs and enterprise customers implementing AI on real workflows.
- Who founded Labelbox?
- Labelbox was founded by Manu Sharma in 2018.
- Who are Labelbox's investors?
- Labelbox's investors include Andreessen Horowitz, B Capital Group, B4 Capital, Gradient Ventures, In-Q-Tel, Kleiner Perkins, SoftBank Vision Fund, Tau Ventures and 1 more.
- Where is Labelbox headquartered?
- Labelbox is headquartered in San Francisco, US.