Data Annotation Software Companies

Find the best Data Annotation Software companies for your business. Compare case studies, success stories, & testimonials from the top Data Annotation Software vendors.

1-15 of 19 Data Annotation Software companies
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  • Overall Reference Rating 4.8
    Data Annotation Software

    Scale accelerates the development of AI applications by helping computer vision teams generate high-quality ground truth data. Their advanced LiDAR, video, and image annotation APIs allow self-driving, drone, and robotics …

  • Overall Reference Rating 4.7
    Data Annotation Software

    CloudFactory is on a mission to change how work gets done. They using technology to making it super easy and affordable for startups and fast growing companies to automate and …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Voxel51 is an AI software company that enables machine learning and computer vision scientists to rapidly curate and experiment with their datasets in order to build higher performing machine learning …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and …

  • Overall Reference Rating 4.8
    Data Annotation Software

    SuperAnnotate is helping companies build the next generation of computer vision products with its end-to-end platform and integrated marketplace of managed annotation service teams. SuperAnnotate provides comprehensive annotation tooling, robust …

  • Overall Reference Rating 4.7
    Data Annotation Software

    DataEQ uses a Crowd of humans to label millions of unstructured data points. This trains their cutting-edge AI to do remarkable things. This unique combination means we produce the highest …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Kili Technology to ensure data was no longer a barrier to good AI. By July 2020, the Kili Technology platform was live and by the end of the year, the …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Labellerr is a cutting-edge SaaS platform that accelerates AI development for organizations by offering AI-powered data labeling and automation. Their technology, featuring a unique Smart Feedback Loop, empowers machine learning …

  • Data Annotation Software

    V7 is the AI Data Engine for Computer Vision & Generative AI, offering rapid, precise, and scalable solutions for labeling image & video data, training ML models, and managing AI …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Dimension Labs is the missing layer of the modern data stack — the language data infrastructure for enterprises. Most customer truth lives in unstructured conversations (calls, chats, surveys), but this …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Loftware is the global market leader in Enterprise Labeling and Artwork Management solutions with more than 5,000 customers in over 100 countries. Offering the industry’s most comprehensive digital platform, which …

  • Overall Reference Rating 4.8
    Data Annotation Software

    DagsHub is a web platform based on open source tools, optimized for data science and oriented towards the open source community. DagsHub allows you to curate and annotate multimodal datasets, …

  • Overall Reference Rating 4.8
    Data Annotation Software

    Kognic Best-in-class sensor fusion solution for ADAS/AD. The dataset management platform helping global enterprises assemble efficient ground-truth data pipelines for sensor-fusion.

  • Overall Reference Rating 4.7
    Data Annotation Software

    Secude extends Microsoft Purview Information Protection (MPIP) to SAP data exports and CAD files, preventing data leakage, reputational damage and non-compliance. Ease the burden of CMMC (Cybersecurity Maturity Model Certification).

  • Overall Reference Rating 4.8
    Data Annotation Software

    iMerit is working with customers to enrich and label their data and to achieve the best results from their algorithms. All the work powers advanced algorithms in machine learning, computer …