Shay Levi, CEO and Co-Founder of Unframe – Interview Series

Shay Levi is the co -founder and CEO of UNFRAME, a company that redefines Enterprise AI with developmentable and safe solutions. Previously, he participated in the establishment of Noname Security and led the company to acquire $ 500 million by Akamai in only four years. He is an innovator installed in cybersecurity and technology, and he specializes in building transformational solutions.

UNFRAME is the AI ​​platform for the entire institution in one headquarters in Cuperno, California, which enables companies to revive any unique use of life in hours, instead of the most famous. Through its scheme approach, UNFRAME cooperates with large companies worldwide to implement solutions via observation, data abstraction, smart factors, and update. UNFRAME uses results -based pricing, allowing customers to experience and develop any solution they want and free of risk. UNFRAME is LLM LLM that does not require adjustment or training-changing the foundation is possible for large institutions looking for developmental AI solutions.

On April 3, 2025, UNFRAME appeared from the ghost of $ 50 million to transfer Ai Enterprise’s publication.

After Noname’s successful output to Akamai, what led you to launch UNFRAME, and what gap that you set in the AI ​​space for the institution that made time and the right opportunity?

I actually left Noname before the start of acquisitions. What I saw was a huge wave to come, information managers were under pressure to adopt artificial intelligence quickly, but the tools available to them were not ready for institutions. They were either collecting points solutions without any governance, or waiting for the interior teams to build from scratch. No, the path is limited, both of which provided the risks.

This was the sign. I realized that the institutions did not only need to reach artificial intelligence – they needed a platform that gave them control, speed and flexibility at the same time. This led to Unframe.

NONAME was a pioneer in API. How did your experience built a company that focuses on security on the formation of the approach you follow with UNFRAME?

Our DNA security. In Noname, we learned that innovation without governance quickly leads to risk. This lesson is directly carried to artificial intelligence. From the first day in UNFRAME, we baked in the right handrail-processing safe data, typical transparency, roles-based access-where institutions can innovate without introducing new gaps.

We also realize how to break things wide. So, while UNFRAME enables the teams to move quickly, we designed the statute with the complexity of the institution in mind – whether it is the management of data flows, the imposition of compliance or integration with the old systems.

Was there any common pain points across the API security institutions that helped inform your vision to adopt artificial intelligence?

definitely. In NONAME, we have seen how difficult it is to obtain institutions to gain vision and control their environments. Shadow applications, uninterrupted tools, high -operational differences have created real operational risks – and uniform everything.

With artificial intelligence, we see the same pattern repeated. Each team wants to move quickly, but without the right structure, you get a fragmentation, double and blind spots. This experience formed our thinking with UNFRAME. We wanted to give institutions a way to adopt artificial intelligence in a unified and safe way and actually work through teams and systems – not only in isolated pockets.

UNFRAME acquires power with major companies and achieved ARR in millions within a year – how did you achieve this level of adoption so quickly?

We did not take the traditional way of slow experience or limited pilots. From the first day, we were on the market, with partnership with international companies in high -influential projects, in the real world. These were not isolated use – strategic initiatives related to the basic parts of the work. This is what we gained confidence and helped UNFRAME to become a strategic partner across multiple fields, not just a seller. When presenting real results quickly, the adoption is followed.

I talked about reducing the spread of artificial intelligence from months to hours. Can you walk us through how to make Unframe possible?

We have built hundreds of deep artworks on the Unframe platform. When publishing a new solution, it does not start from scratch – it is designed through a scheme that planns these components for the specific user needs. This is the way we offer publication from months to hours.

Tell us more about the plan’s approach – what makes it unique, and why is it very strong for AI’s use of the institution?

The scheme’s approach is how to offer widely designed artificial intelligence solutions – without starting zero. Each scheme sets logic, components, workflow and handrails to obtain a specific use condition, and to form a library for our technical building blocks. This is how we collect speed and accuracy on a large scale.

UNFRAME sets itself as LLM-Agnostic and does not require refining the form. Why was it important for you to avoid the need to train custom models?

Because most institutions do not need custom models – they need custom results. The second that begins to formulate it, you are closing yourself in a specific seller, increasing costs, and creating general expenses for maintenance that most institutions have not been prepared.

We have designed UNFRAME to work with current modern models in a way that still provides specially designed and high-quality results. By staying LLM-Agenostic, we give institutions flexibility, faster time for value, and the ability to develop with the change of typical landscape. The goal is not to train models – it’s problem solving. You can do it incredibly well without touching the accurate control.

What role does the natural linguistic reaction play in the UNFRAME platform – and to what extent can it go to replace the user interface for traditional programs?

Natural language is a strong entry point-it makes Amnesty International immediately available for business users, without training or increasing technology. This is especially important when it works with international companies and workforce distributed across various countries, roles and languages. The interface, similar to the chat, helps to settle the stadium.

But each case is not a different frame, and the interface needs to match the task. This sometimes means natural language chat. At other times, it is a dynamic schedule, interactive dashboard or a content to generate content – whatever it is better to fit the workflow and the result that we replace.

We do not see the natural language as a substitute for the traditional user interface, but as a layer that removes friction where it matters. The goal is to make the programs feel intuitive, flexible and designed – not only for the user, but for the problem they are trying to solve.

What are the lessons learned from the scaling of NONAME to a rating of 1B+ and $ 450 million that you offer at UNFRAME?

Focus on solving the real urgent problems-and do this with the implementation of the institutional degree from the first day. In Noname, we learned that the scale comes from confidence, and trust comes from a rapid presentation without cutting angles. In UNFRAME, we apply the same mentality: move quickly, build safely, and we remain unabated focusing on customers.

As a frequent founder, what is your approach to building the driving teams and the culture of the company in excessive growth environments?

In excessive growth, you do not have the luxury of discovering things slowly-so you need people around you who are not only great in what they do, but those who flourish in mystery and move urgently. For me, the construction of a leadership team begins with confidence, clarity and common values. Everyone must be compatible with the place we go, and they are equally committed to owning their part of the trip.

Culture is the same. It is not Ping-Pong- It is how decisions make when things become difficult. In UNFRAME, we were deliberate in creating a culture of ownership, speed and honesty. We move quickly, listen strongly, and we push each other to be better every day. This type of culture does not escape excessive growth-it pays it.

Thank you for the wonderful interview, readers who want to know more UNFRAME.