XPANCEO

“Dubai-it” is now an official verb that means achieving something extraordinary, with excellence, in record time.

A big phrase, unless you’re talking about a city that turned the desert into one of the world’s most ambitious global hubs.

The verb is new, but the philosophy behind it has defined Dubai for decades. Not speed for the sake of speed, but speed with exceptional quality. Not ambition without a foundation, but ambition backed by ex*****on and visible results.

This mindset feels very close to how we build at XPANCEO.

We’re developing smart contact lenses at the intersection of optics, electronics, materials science, and biosensing, while also solving the hard questions of power, manufacturing, scalability, and AI-enabled interaction. There’s no existing playbook for this, so we’re building the next interface from the ground up.

Dubai has created a culture where ambitious ideas are expected to move fast, scale, and become real. For deep-tech companies, that matters, because breakthroughs need more than talent or capital — they need ecosystems that make ex*****on part of the default.

“Dubai-it” is a great expression for the mindset that built this city, and we’re proud to build in a place where ambition isn’t treated as a slogan, but as a responsibility to deliver.

XPANCEO now has its own internal AI toolkit — a secure workspace where the team can experiment with the latest LLM systems from leading providers, including Gemini, Claude, Grok, and ChatGPT, all within our information perimeter.

This system is becoming a core layer of how we work with knowledge, research, and ex*****on.

The toolkit already includes:

• a growing library of prompts and skills
• a searchable knowledge base connected to internal documentation
• agents that accelerate the work of our R&D team
• a smart patent search tool
• an HR assistant

All of it runs inside our information perimeter, meaning that the team can explore ideas with AI without sending sensitive work outside the company. For a deep tech company, this is crucial.

We spend a lot of time thinking about what the AI era of computing will demand — technically, scientifically, structurally. Our R&D team has already published research on using AI to discover new materials. So, as they say, practice what you build for.