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Case Study

S’More Dating
Scalability & Automation

Implementing recognition automation and AWS micro services to enhance user trust and scale.

Implemented automation software to enhance security value proposition

Fulfillment of AWS sponsored development costs and maintenance

THE STORY

The BoCGV team evaluated the unmet needs, new technology needs, and architecture to implement recognition software for its mission critical value proposition of secure dating profiles.

S’More is the anti-superficial dating app known for using facial recognition technology to prevent catfishing and underage use on the app. In order to scale from its initial product offering, S’More needed to bring in Amazon Web Services experts to manage and implement the technology while optimizing their cloud infrastructure.

Smore Support

THE GOALS

  • S’More was seeking AWS knowledgeable product management and engineering implementation to fulfill their criteria
  • The app is known for security and privacy and needed to implement AWS Rekognition for pre-trained and customizable computer vision capabilities to extract information and insights from dating images and videos.

THE SOLUTION

As a startup, automation is a nice-to-have until they can garner the metrics and traction to afford better engineering. Through enterprise incentives, S’More needed cloud technology experts to not only get their development financed but also to implement one of their greatest value propositions: security.

We were able to quickly deploy architecture, backend engineering, and product management experts to optimize their cloud solutions.

With the automation in place, S’More was able to save more while entering new dating markets and reduced the cost of on-boarding security protocols.

THE RESULTS

  • Fast and smooth engineering management
  • AWS certified development
  • Successful computer vision automation
  • On-going AWS financial feature support
  • Scaled into new dating markets while saving on costs
  • Increased dating user base to over 15K
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