Introducing the Applied AI Lab: Closing the Enterprise AI Gap

We are proud to define and shape the concept of an applied AI lab: a partner built to turn frontier AI into production systems that enterprises can trust, own and keep current. AI adoption within enterprises can now align and scale with endless AI capabilities.

While frontier labs continue to push the boundary of what is possible, applied labs close the gap between what AI can do and what a business can adopt.

"AI changes so fast that keeping up alone is impossible, so you need an applied AI lab in your corner," said Shay Levi, co-founder and CEO of Unframe.

The gap between AI capability and AI adoption is structural

In every large organization, there's a separation between what AI can do and what actually runs in production. The underlying technology moves faster than any company can take on.

Four obstacles keep AI out of production

The gap persists because enterprise AI is hard, and the same problems recur across industries:

• Accountability for live systems is unclear
• Data is messy and fragmented
• Inconsistent results erode trust and stall adoption
• Technology changes faster than internal teams can track

Any one of these can stall a project, and together they explain why promising pilots never see the light of day.

Frontier labs and applied AI labs have distinct purposes 

A frontier lab is built to advance capability. An applied lab is built to put that capability to work for a specific business. We know what works and stay current. Our AI experts learn each customer's problem and domain before building anything, and our applied AI platform supplies the building blocks that high-quality enterprise AI requires. Solutions can run in the customer's cloud, on-premises or as fully managed SaaS, and customer data stays in the customer's environment. 

Global CRE leader scaled from one use case to 18 in a year

With Unframe, Cushman & Wakefield was able to expand from one strategic use case to 18 in roughly a year.  The compounding value progression is possible through our fully governed, best-in-class platform. The first solution reaches production, and its reusable building blocks and data foundation make each following use case faster to deliver, across functions.

Partnering with an applied AI lab is the future 

We see the market as a three-part stack: frontier labs that advance capability, applied labs that operationalize it and an upgraded workforce that knows how to use both. Over time, every enterprise will partner with an applied AI lab. This shift is inevitable, and the companies that claim that capacity first will pull ahead.

"This is the future; enterprise AI is clearly heading in this direction," Levi said. "Unframe is leading by making that vision a reality."

To learn how an applied AI lab can close the gap in your organization, book a meeting. 

About Unframe

Unframe is the Applied AI Lab dedicated to closing the gap between AI capabilities and AI adoption within enterprises.

We meet organizations where they are: end-to-end managed delivery, dedicated expertise for teams that self-build or strategic advisory. All on a proven platform built for speed, governance and enterprise scale. Unframe solutions run in the customer's preferred environment, integrating with existing AI programs and core systems.

Unframe is headquartered in Cupertino, California, with a global presence in Tel Aviv and Berlin.