Best Data Labeling Software for Startups
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Compare the Top Data Labeling Software for Startups as of June 2025
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What is Data Labeling Software for Startups?
Data labeling software is a tool that assists in the organization and categorization of large datasets. Data labeling tools enable data to be labeled with relevant tags depending on the purpose such as for machine learning, image annotation, or text classification. Data labeling software can also assist in categorizing input from customers so businesses can better understand their needs and preferences. The software typically comes with different features such as automated labeling, collaboration tools, and scaleable solutions to handle larger datasets. Compare and read user reviews of the best Data Labeling software for Startups currently available using the table below. This list is updated regularly.
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Vertex AI
Google
Data Labeling in Vertex AI is a crucial step in the machine learning process, as it helps to accurately categorize and tag data for model training. Vertex AI provides automated and manual labeling options, allowing businesses to efficiently prepare large datasets for AI model training. With the platform’s advanced labeling tools, organizations can ensure the quality and accuracy of their labeled data, leading to improved model performance. New customers receive $300 in free credits to explore and experiment with data labeling services and streamline their data preparation workflows. By labeling data effectively, businesses can enhance the performance of their machine learning models and create more reliable AI solutions.Starting Price: Free ($300 in free credits) -
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Athina AI
Athina AI
Athina is a collaborative AI development platform that enables teams to build, test, and monitor AI applications efficiently. It offers features such as prompt management, evaluation tools, dataset handling, and observability, all designed to streamline the development of reliable AI systems. Athina supports integration with various models and services, including custom models, and ensures data privacy through fine-grained access controls and self-hosted deployment options. The platform is SOC-2 Type 2 compliant, providing a secure environment for AI development. Athina's user-friendly interface allows both technical and non-technical team members to collaborate effectively, accelerating the deployment of AI features.Starting Price: Free
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