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.
A data-driven accessibility risk intelligence platform that lets businesses instantly assess and address accessibility failures at scale.
Aleria has developed a predictive modeling platform linking talent management and finance
Biobeat is a med-tech company that develops remote patient monitoring and data collection tool.
Foundational Model (DID) LLM, Agentic Logo System, Human Energy Grid, Blockchain, NFT Custom Logo and Facial Recognition
Grepr provides AI-driven log filtering and observability to cut data volume, support SAML SSO, and maintain SOC 2 compliance.
Inquoro is a data driven company that offers platform, technology and infrastructure for survey research.
Sinpex offers an AI-driven platform for automating KYC and KYB compliance checks.
Defined.ai is an AI data marketplace that provides tools for development, scalability, and optimization to empower AI creators.
Handshake is a college career network that helps students and recent graduates find their next opportunity.
Pegasus develops unmanned aircraft and sensor systems to enable autonomous data collection at scale for industry and government.
EagleNXT provides aerial imagery-based data collection and analytics solutions.
RockMass Technologies provides geologists with data collection tools to rapidly collect structural data for mines and tunnels.
Deepgram provides a voice artificial intelligence platform for speech-to-text, text-to-speech, and voice applications.
Ariprus is an industrial IoT platform that automates machine data collection and production analytics.
V7 is a powerful AI training data platform used to produce high-quality image and video data annotations to train computer vision models.
pocstock is an inclusive content company that offers content creation and media services.
DataNeuron accelerates and automates human-in-loop labelling for developing AI solutions.
iMerit provides AI data solutions across computer vision and natural language processing for AI developers.
Postmath offers AI-driven SaaS solutions that automate content generation and streamline mathematical processes for digital transformation.
Metrolla enables automation and data collection from machine vision without interruption to p services that use the sensors.
Gretel is a multimodal synthetic data platform that leverages advanced generative AI and privacy-enhancing technologies.
Labfront elevates your research findings by simplifying physiological data collection and management.
Aquaai delivers intelligence from below the surface to manage risks in all water bodies.
TRAiNED utilizes artificial technology to automate manual processes while achieving productivity improvements.
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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