Companies in the data collection and labeling sector developing innovative solutions and technologies.
Explore 141 recently funded data collection and labeling companies with verified founder contact information and fundraising data.
Clay is a AI go-to-market company building a self-learning revenue engine that helps businesses grow to their full potential.
KOPILOT.ID provides NFC emergency IDs that give first responders instant access to your medical and emergency contact info.
Unlocking zettabytes of user-owned AI training data for dev teams.
Metaintro is a generative AI product that enables users to find jobs and engage in conversations around their career.
Simplex generates on-demand vision datasets from 3D scenes to train AI models helping companies save time in data collection.
Field Agent is a provider of enterprise services that offers mobile research and retail data collection.
Archive App is a digital asset manager built for modern digital marketers.
Snorkel AI develops specialized training data, evaluation systems, benchmarks, and environments for AI models and agents.
Heidi Health is a healthtech company that develops an AI medical scribe platform that automates clinical documentation and related tasks.
Flightwave Aerospace Systems designs and develops an aerial data collection in hard to reach places.
pocstock is a content and AI data licensing company sitting at the intersection of culture, content, and technology
Enabled Intelligence provides secure and accurate data labeling services.
Flikforge is the data infrastructure for physical AI, providing data labeling, licensing and AI data engineering platform capabilities.
AfterQuery develops training data solutions for frontier AI and foundation model development.
Asura Technologies creates analytic, data collection and management systems based on License Plate Recognition for Smart Cities.
CoArena provides a live evaluation platform and public leaderboard where AI computer-use agents race side-by-side on real-world tasks.
Codag cuts coding-agent costs by optimizing large tool outputs like logs and test results so agents consume fewer tokens.
Markov is a data engineering company that builds expert computer-use datasets for frontier AI labs.
Markov is a data engineering company that builds expert computer-use datasets for frontier AI labs.
Datasinc provides real estate data collection and analysis, and credit judicial procedural data analysis.
Ango AI is a data labeling company offering end-to-end, managed labeling services for AI, focusing on speed, quality, and efficiency.
The data collection and labeling sector is an active area of startup innovation and venture capital investment. Companies in this space are developing new technologies, platforms, and services that address evolving market needs and create new business opportunities.
Data Collection and Labeling companies raise capital across various funding stages, from early seed rounds to late-stage growth financing. Investor interest in this sector is driven by the size of the addressable market, the pace of technology adoption, and the potential for scalable business models.
The data collection and labeling sector is expected to continue evolving as technology advances, market dynamics shift, and new opportunities emerge. Companies that demonstrate strong product-market fit, efficient growth, and clear competitive advantages are well-positioned to attract continued investment.
Here is how funding is distributed among the 141 data collection and labeling companies tracked in the VCBacked database.
Companies in the data collection and labeling sector often overlap with or complement businesses in adjacent industries. Exploring related verticals can help you discover additional companies, identify partnership opportunities, and understand the broader competitive landscape.
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