ProxyPicsWhite Labeled API
A Build vs. Buy Case Study
The business benefits that led ProxyPics to their decision included,
ProxyPics saved approximately $750K in overhead and infrastructure in the first year in subscribing to FoxyAI’s models versus building the technology in-house. Because FoxyAI’s pricing is based on usage (monthly credits), the expense of FoxyAI mirrors the pace of ProxyPics’ success.
Time to Value
The FoxyAI API integration took the ProxyPics team less than 30 minutes to complete, rendering the analysis of time to value for Build vs. Buy moot.
The opportunity costs incurred by ProxyPics’ decision were non-existent. If ProxyPics had chosen to build the models in-house, the project would have taken 12-18 months. With the time saved by working with FoxyAI, ProxyPics was able to focus on growing their user base and gig economy network.
By choosing to buy, ProxyPics gained the support of the FoxyAI team in its maintenance and the direction of the AI-specific models that power ProxyPics’ value proposition.
Due to the ability to white-label FoxyAI technology, ProxyPics was able to maintain control of its brand. And as a customer, ProxyPics is invited to innovate side by side with the FoxyAI team, presenting ideas for future innovations via FoxyAI’s Foxworx, an innovation lab to transform real estate, placing control of future innovations in their hands.
Complexity of AI Build
By working with FoxyAI, ProxyPics was able to skirt the complex AI build and instead supplement their data science with FoxyAI’s award-winning technology, placing AI in their product overnight.
Real Estate Knowledge
In choosing FoxyAI, ProxyPics gained access to the API and the team. Similar to ProxyPics founder’s experience, FoxyAI co-founder Vin Vomero has a background in real estate and technology, as do several employees across the organization. This true real estate experience can be seen and realized throughout FoxyAI’s innovations, product deployment, and customer service.