Assessing AI's potential to innovate and validating the initial concept with a POC.

Curating and refining data sets to lay the groundwork for tailored AI solutions.

Crafting and training bespoke AI models, strategizing for integration and scalability.

Building a functional Minimum Viable Product that embodies the AI solution for user feedback.

Testing and refining the AI MVP, prioritizing performance, and user-centric enhancements.

Launching the AI product with ongoing evaluation and optimization for peak performance.