“In 2026, businesses will need to accelerate AI adoption or risk being left behind”

“In 2026, businesses will need to accelerate AI adoption or risk being left behind,” said Larissa Schneider, co-founder and COO of Unframe, at the Mind the Tech Berlin 2025 conference hosted by Calcalist and Bank Leumi.

Unframe is an Israeli-German startup developing comprehensive solutions for enterprise AI systems. Schneider operates from Berlin, while the other two founders are based in Israel. The company was founded in 2024 and has already raised $50 million.

“We founded the company because, after the ChatGPT moment at the end of 2023, we saw a massive push into the enterprise sector, companies trying to extract value from corporations with either narrow, low-cost solutions or broad, high-cost ones,” Schneider said.

“But who is focused on delivering real value to the industry rather than just extracting it? AI requires heavy customization to work properly, and many use cases still have no off-the-shelf solution. The quick solutions that emerged early on failed, leaving businesses with broken products.”

“Our process begins with a discussion with clients to identify the use cases that best fit their needs, whether managing unstructured information, automation, or using AI agents. A few days later, we meet again with a fully ready solution for the client to test. Only when they are satisfied and receive the results they expect do we move to the sales stage and charge an annual pricing model. The client pays only once they see real value.”

“How can we do this? We use multiple building blocks to create customized solutions on short timelines. These building blocks function like Lego pieces that can be assembled into a complete solution, guided by a structured architecture. The result is fully tailored to the client and delivers meaningful impact quickly.”

“For example, one of the largest German-language newspapers approached us. By working together, we reduced their production time by 70% and turned what should have been a three-year implementation process into an immediate one. As a result, we were selected to provide AI services across the entire company.”

Schneider also outlined several trends she expects to dominate the industry in the near future. “We will see many more AI companies that don’t offer a single, narrow solution but instead provide a full end-to-end AI platform,” she said. “Companies that tried to build this internally have failed and will increasingly turn to external partners who can deliver broader, faster, and more scalable solutions.”

“With the slowdown in foundational AI model innovation, focus will shift toward implementation, how companies actually adopt AI rather than waiting for the next technical breakthrough. Businesses are tired of solutions that fail 95% of the time. They want a pay-for-success model. Customers demand it because they need guaranteed value, not empty promises that may or may not materialize in the future.”