Datavault AI

Datavault AI (NASDAQ: DVLT) is a publicly traded data sciences company building AI-driven data monetization, cybersecurity, and Web 3.0 infrastructure. I joined as Director of Technical Sales the same year the company went public, sitting on the seam between business development and engineering. I was the person buyers called when a pitch needed to survive the technical conversation that came after.

I worked across the majority of our subsidiaries and ran training videos to bring acquisitions up to speed on our technologies. That meant moving fluidly between sales training and engineering training and, as we scaled, borderline sales-engineering work: pulling apart Data Vault, DataValue, DataScore, Data Vault Bank, the high-performance and edge compute layer, the Web 3.0 and tokenization stack, and the WiSA and ADIO acoustic divisions, then re-assembling them into architectures clients could actually buy.

I co-led the CLEAR identity partnership and the DVHolo × HYPERVSN launch, deployed hardware in the field at Brookhaven, and was inside the room as the company moved through the $210M definitive agreement that ultimately formed Datavault AI. The role taught me how a public company actually closes: not on a slide, but in the architecture review and the redline.