Alexandrea Day

Bio:

I’m a serial entrepreneur, inventor, and platform builder with a track record of seeing what’s next—and building it before the market knows it’s needed. Sometimes the market catches up. Sometimes it doesn’t. But today, with the rise of sensor-driven, conversational AI agents making real-time decisions, the market has come straight to my door.

I conceived two-factor authentication before SMS infrastructure could support it. I built and patented video preview technology years before it became standard across major platforms. I developed an interactive video ad builder that drew attention from Google and led to an invitation to HQ. I later launched a national video production platform from scratch, scaling it to $500K ARR in just seven months with a network of over 800 videographers and full in-house post-production serving top-tier agencies across the U.S.

What ties it all together is my focus on building platforms designed to scale—technically, operationally, and commercially.

Today, I lead MetaBrain Labs, where we’ve patented and deployed a breakthrough AI agent platform that transforms real-time sensor data into intelligent, conversational decision-making. Our agents connect to wearable, clinical, and equipment-based sensors—ingesting, validating, and responding to live inputs—while guiding users through context-aware interactions that drive outcomes across healthcare, clinical trials, industrial IoT, elite performance, and beyond.

I authored the foundational patent for this architecture in mid-2021—before conversational AI was mainstream. Now granted as U.S. Patent No. 11,996,179 B2, it protects the core mechanism for enabling real-time, sensor-integrated AI agents. This isn’t conceptual IP. It’s a tested, production-ready platform already in market.

Our go-to-market strategy is clear: we’re offering source code, IP protection, and integration support to platforms that want freedom, not vendor lock-in. Most AI offerings today are black boxes—impossible to extend, customize, or truly own. We’ve built the opposite: a transparent, fully operable system companies can embed, control, and scale across their entire stack.

This is more than invention—it’s strategic enablement. I’ve weathered market shifts, hype cycles, and investment deserts by building tech that endures.

Now, I’m focused on licensing this platform and its patent portfolio to companies ready to lead in the next phase of human-machine interaction. If your roadmap includes AI that’s explainable, extensible, and uniquely yours—we should talk.