The platform to unlock proprietary
    data for AI

    Access multimodal data assets that aren't publicly available.

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    About David AI

    David AI is the only end-to-end data platform for model developers and enterprises tackling challenging multimodal data needs.

    We source, generate, qualify, and label high-quality, non-publicly-available multimodal datasets, through our AI-powered data platform.

    If you’re a data buyer, request a hard-to-find dataset and we’ll take care of the rest. If you own a proprietary multimodal dataset, we’ll help you turn it into a new revenue stream for your business.

    Request datasets

    Submit a request and our team will take it from there.

    • 10k+ product images for various sneakers

      In efforts to build out a more diverse training dataset, we are looking for a large number of product images for various sneakers to train our models on.

      OPEN

      4 applicants

    • Speaker Separated Audio Data

      Conversations between two or more speakers with each speaker isolated on a separate audio track.

      FULFILLED

      9 applicants

    • Transcribed conversational audio data

      I am looking for conversational audio data in several different languages that comes with transcriptions.

      IN-PROGRESS

      17 applicants

    • 25mil+ well-captioned 1024x1024 images

      We are looking for a large number of well-captioned 1024x1024 images to train our text-to-image models. We are looking for a diverse set of images that cover a wide range of styles and subjects.

      OPEN

      8 applicants

    • Warehouse Surveillance Video Footage

      Extensive surveillance footage captured from various warehouse environments, offering a valuable resource for developing and testing algorithms in security, logistics optimization, and automated inventory management.

      OPEN

      3 applicants

    • High-Quality Photorealistic 3D Models

      Meticulously crafted 3D models with lifelike detail, ideal for use in virtual reality, animation, gaming, and architectural visualization projects.

      IN-PROGRESS

      10 applicants

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