About Reveal AI:
Helping Organizations Listen, Learn, and Lead.

The Story Behind Reveal
In 2020, the U.S. Air Force's AFWERX innovation team faced an unexpected challenge. Major Tony Perez needed to move a large, in-person innovation event online—but still gather the in-depth conversations that were critical to solving complex problems.
Traditional surveys weren't the answer. Response rates would be low, and responses would likely lack the depth needed to understand participants' real challenges. Conducting one-on-one interviews would provide richer insights, but it would take too much time and cost too much to scale.
A team of BMNT consultants and developers set out to solve the problem: How could they have meaningful conversations with hundreds of Airmen in just a few days? They built a conversational AI capable of conducting natural, human-like interviews through text messaging. Within days, the team interviewed hundreds of participants, uncovered more than 60 challenges, and helped connect 190 companies with 50 Air Force leaders.
That project proved something important: meaningful one-on-one conversations could be conducted at scale without losing the nuance, context, or emotion that make qualitative research so valuable.
From there, the team began asking organizations a simple question:"What if you could have a conversation with everyone—in just a matter of days?"That question became the foundation for Reveal AI: helping research teams collect richer qualitative feedback, uncover deeper insights, and make better decisions through AI-powered conversations.

Our Core Philosophies



Looking Ahead...
