Enterprise AI startup Unframe has raised $50 million in Series B funding after surpassing $100 million in enterprise AI contracts within one year. The fundraise highlights strong demand for scalable AI deployment solutions among large organizations. Unframe helps organizations implement artificial intelligence. The startup now works with global organizations across multiple sectors, including Fortune 500 companies.
Unframe has secured a cumulative $100 million in contracts within just one year and is now completing another funding round. The company is raising $50 million in a Series B round led by Highland Europe, with participation from existing investors Bessemer Venture Partners, Craft Ventures, TLV Partners, Third Point Ventures, Cerca Partners, and Vintage Investment Partners. The new financing brings the total amount to $100 million.
“We’ve barely touched the money from the previous round completed a year ago. Our burn rate is very low,” said Shay Levi, co-founder and CEO of Unframe. The company announced its previous $30 million funding round in April 2025.
The new capital will be used to expand sales teams, deepen technological investment, and strengthen the management team as the company prepares for its next phase of growth. According to the company, revenue from existing customers has grown by 400%, while
Unframe was founded in 2024 by CEO Shay Levi, COO Larissa Schneider, and VP R&D Adi Azarya, all former executives at cybersecurity company Noname Security. Levi was co-founder and CTO of Noname, Schneider led global marketing operations, and Azarya managed parts of the company’s R&D activity. The company employs around 130 people, about 70 of them in Israel, with the rest based in California and Berlin.
The startup develops an AI platform designed to help organizations turn business needs into operational AI solutions in days rather than months. While enterprise AI investment has surged, many projects remain stuck in pilot phases and fail to reach broad operational deployment. Unframe allows organizations to experiment with AI solutions before paying, only moving to commercial deployment once customers see measurable value.
The platform is built around modular technological building blocks, described internally as ‘Lego pieces’, that connect to customers’ existing systems and infrastructure. Solutions can operate in the customer’s cloud environment, on-premises, or through a managed SaaS model.
Levy said the $100 million in signed contracts carry average terms of three to five years.
“The fact that we crossed $100 million in contracts within a year shows companies are ready to adopt AI rapidly when solutions can be implemented in a simple and practical way,” he said. “Almost every organization we speak with already understands where AI can create real value, but very few projects actually make it into production.”
Enterprise AI adoption is moving beyond experimentation as companies increasingly focus on practical deployment, automation, and measurable business outcomes. Startups that simplify implementation and integration could play a major role in helping enterprises scale AI faster while reducing operational complexity, costs, and deployment barriers across industries.