Experienced startup operators know what a significant early-stage pivot demands: fortitude, confidence, agility, bravery, and grit.

I began working with Deep Information Sciences when it was a small seed-stage company building a consumer app. The team were accomplished information scientists—and as they built, they hit a wall: the volume and complexity of their data exceeded what any existing database could handle. So they built one. The first genuinely new general-purpose database in a quarter century—faster, more scalable, and designed from the ground up for the simultaneous demands of big data and real-time analytics.

The app, it turned out, was the less interesting thing.

My role was to help the founding team understand who needed this database, why it would matter to them, and how to talk about it credibly in one of the most technically insular, change-resistant industries in technology. Database buyers were traditionally CTOs and CIOs—deeply technical, slow-moving, and deeply skeptical of anything new. But the rise of big data was shifting the landscape: CMOs and CEOs were beginning to drive data requirements, and few in the category were speaking to them yet.

That gap became the strategic foundation. We developed positioning and a brand architecture rigorous enough for technical audiences and accessible enough for the full C-suite—making the case not just for performance, but for business value. The work spanned positioning, naming, identity, messaging, white papers, and a bold market campaign.

The Deep brand gave the company the credibility and clarity to raise capital, enter the market, and land its first major customer: IBM.