Companies in the data collection and labeling sector developing innovative solutions and technologies.
Explore 128 recently funded data collection and labeling companies with verified founder contact information and fundraising data.
Troveo AI allows content creators to upload videos and secure revenue through licensing deals with firms interested in training AI models.
Aya Data provides data annotations, data collection, natural language processing, and transcription services.
Centaur provides a platform and services for expert annotation of medical and scientific data
AI copilots for Professional Services to streamline operations
BData's mission is to put patients, providers and their local communities in the driver's seat of healthcare evidence generation.
Vertical Farm Ecosystems, Farm Management Software & AI Crop Intelligence
SaaS, On-Prem, AI Infrastructure, AI Model Library
AI-powered SaaS solution to streamline impact data collection, verification & reporting for impact investors and their portfolio companies.
Omica turns real-world clinical data into structured training infrastructure for biomedical AI
Synthetaic is a company that grows large and high-quality datasets sufficient for machine learning.
AI-powered Data Discovery Engine. Making data more discoverable and usable.
Thread specializes in enterprise-scale autonomous data collection that delivers precise inspection insights.
Fulcrum is a SaaS platform allowing manufacturers to improve efficiency through workflow optimization and automated data collection.
Mobula provides curated datasets for builders: blockchain market data, wallets data, metadata and interfaces to query them.
Datasaur develops productive tools that design for data labelling needs.
Syncly is a San Francisco-based AI SaaS company founded by a serial entrepreneur who successfully exited their last AI company in 2019.
Mingle Health develops an end-to-end quality-improvement platform that simplifies data collection, reporting, and preventive care.
Oculai is a SaaS solution for camera-based data collection on construction sites using intelligent computer vision algorithms.
Labelbox is the leading data factory for AI teams.
Funnel designs and develops software/platforms that help marketers automate their data collection for reporting and analysis.
Atla is an AI research and deployment company dedicated to enabling the safe development of artificial general intelligence.
JobHopin is an AI-powered platform for job and talent intelligence in SEA
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 128 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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