We work with companies to provide a universal training for anyone, regardless of their AI skill level, to participate across the organization.

We pick a technology to train that provides a safe and secure environment to test and use their own proprietary data. We focus on multimodal capabilities, team collaboration, and privacy. We are very clear on what kind of data should NOT be uploaded an how to anonymize ad synthesize data for training purposes.

We ensure everyone receives a strong foundational training: What is the technology capable of doing; What does it have the potential to do, but struggles today; What can or should it NOT do, ever.

We teach individuals a methodology for finding their own use cases: What problems do they have that they have always wanted to solve but couldn’t?

We provide skills to be a product developer, a framework for going from idea to product—marrying the capabilities, the data, and the solution.

There is nothing more empowering than giving individuals the tools to develop their ow solutions using their own capabilities.

One of the biggest challenges with generative AI is the unpredictability of users—this is what leads even the biggest players to develop inadequate solutions. While the building process may be short, the testing process should be long. We encourage sharing of solutions, gathering peer feedback, and iterating.