Ahmad Baracat

Essays Teaching Apps & Games Reading

(Request for Funding) A Business Experiment in Data Dignity

Resources (TL;DR)

Link to Pitch Deck

AI Grant 1.5 mins Pitch

The problem

The product

Why focus on Data Dignity?

Why logo generation?

Who are the customers?

Differences from current offerings

Action Plan

For the initial launch, we will have a lot of self-imposed constraints to allow us to focus on the meat of the business experiment, which is “can we get it to work economically?” i.e. are we able to get experts to share their data and for customers to use the created model to solve their use case while making sure we provide experts with financial incentive and for the AI-company to be profitable (check below, Simple Business Model).

  1. Figure out which community of artists/experts are the easier to access and are more likely to participate in this business experiment
    1. We need an image generation task/gap that once cracked will prove profitable (as other non domain experts are likely to rely on to generate images for their use cases)
    2. We have potential communities in mind that span different parts of the spectrum
      1. Anime/cartoon style image generation for the general public
        1. Experts: cartoonists and anime artists
        2. Customers: general public
      2. Realistic image generation for the general public
        1. Experts: general public photos taken with their smartphones
        2. Customers: general public
      3. Cartoon/Diagram generation for scientific use cases (ex: to generate illustrations for papers and posters)
        1. Experts: scientific illustrators
        2. Customers: Masters/PhD students in STEM fields
      4. Logo ideas generation
        1. Experts: logo designers
        2. Customers: other logo designers looking for creativity unblock or businesses looking to buy unique/inexpensive logos)
    3. Cherry pick experts by hand and referrals from the ones already vetted
      1. For v1, only onboard experts who have good reviews/ratings and who we can easily pay (ease of sending money, tax implications, etc.)
    4. Build the data capturing tool
      1. Need to check for collisions for similarly submitted data (we need to make sure that the data is valuable to the model before accepting it)
      2. If the data is similar to already submitted data, we show the expert examples of similar works (either in terms of image or caption)
      3. Vetted experts can choose to either upload new data or to vote on the validity/quality of already uploaded data
    5. Train the model
      1. We will first train a baseline model on public domain data
      2. Fine tune on the provided expert data
  2. Deploy the model as a web app (similar to what Stability AI has built)
  3. Charge by API request (bulk or singular calls)
  4. Distribute the earnings

Why bother?

Worst Case Outcomes

Best Case Outcomes

Differences from 

Simple Business Model