Shay Levi is the Co-Founder and CEO of Unframe, an organization redefining enterprise AI with scalable, safe options. Beforehand, he co-founded Noname Safety and led the corporate to its $500M acquisition by Akamai in simply 4 years. A confirmed innovator in cybersecurity and know-how, he makes a speciality of constructing transformative options.
Unframe is an all-in-one enterprise AI platform headquartered in Cupertino, California, that allows companies to deliver any distinctive AI use case to life in hours, fairly than months. By its Blueprint Strategy, Unframe collaborates with giant enterprises globally to implement options throughout observability, information abstraction, clever brokers, and modernization. Unframe makes use of outcome-based pricing, permitting prospects to expertise and evolve any resolution they need, risk-free. Unframe is LLM agnostic and would not require fine-tuning or coaching – foundationally altering what is feasible for giant enterprises in search of scalable, turnkey AI options.
On April third, 2025, Unframe Emerged from Stealth with $50M to Rework Enterprise AI Deployment.
Following the profitable exit of Noname Safety to Akamai, what motivated you to launch Unframe, and what hole did you determine within the enterprise AI house that made it the suitable time and alternative?
I really left Noname earlier than the acquisition discussions began. What I noticed was an enormous wave coming, CIOs have been beneath stress to undertake AI quick, however the tooling accessible to them simply wasn’t enterprise-ready. They have been both piecing collectively level options with no governance, or ready on inside groups to construct from scratch. Neither path scaled, and each launched danger.
That was the sign. I spotted enterprises didn’t simply want entry to AI – they wanted a platform that gave them management, pace, and adaptability on the identical time. That’s what led to Unframe.
Noname Safety was a pioneer in API cybersecurity. How has your expertise constructing a security-focused firm formed the strategy you’re taking with Unframe?
Safety is in our DNA. At Noname, we realized that innovation with out governance rapidly results in danger. That lesson carries over on to AI. From day one at Unframe, we’ve baked in the suitable guardrails – safe information dealing with, mannequin transparency, role-based entry – so enterprises can innovate with out introducing new vulnerabilities.
We’re additionally very conscious of how issues break at scale. So whereas Unframe empowers groups to maneuver quick, we’ve designed the platform with enterprise complexity in thoughts – whether or not it’s managing information flows, imposing compliance, or integrating with legacy methods.
Have been there any frequent ache factors throughout enterprises within the API safety house that helped inform your imaginative and prescient for AI adoption?
Undoubtedly. At Noname, we noticed how difficult it was for enterprises to achieve visibility and management throughout their environments. Shadow APIs, inconsistent tooling, and siloed groups created actual operational danger – and it slowed every thing down.
With AI, we’re seeing the identical sample repeat. Each staff needs to maneuver rapidly, however with out the suitable construction, you get fragmentation, duplication, and blind spots. That have formed our pondering with Unframe. We wished to offer enterprises a strategy to undertake AI in a means that’s unified, safe, and really works throughout groups and methods – not simply in remoted pockets.
Unframe is gaining traction with main enterprises and achieved ARR within the thousands and thousands inside a yr – how did you obtain this stage of adoption so rapidly?
We didn’t take the normal route of sluggish experimentation or restricted pilots. From day one, we have been out available in the market, partnering with international enterprises on high-impact, real-world initiatives. These weren’t remoted use instances – they have been strategic initiatives tied to core components of the enterprise. That’s what earned us belief and helped Unframe grow to be a strategic associate throughout a number of domains, not only a vendor. Once you ship actual outcomes quick, adoption follows.
You’ve spoken about lowering AI deployment from months to hours. Are you able to stroll us by how Unframe makes this doable?
We’ve constructed a whole bunch of deep technical constructing blocks into the Unframe platform. When a brand new resolution is deployed, it’s not ranging from zero – it’s tailor-made by a blueprint that maps these elements to the consumer’s particular wants. That’s how we cut back deployment from months to hours.
Inform us extra in regards to the Blueprint Strategy – what makes it distinctive, and why is it so highly effective for enterprise AI use instances?
The Blueprint Strategy is how we ship tailor-made AI options at scale – with out ranging from scratch. Every blueprint maps the logic, elements, workflows, and guardrails for a selected use case, configuring our platform’s library of technical constructing blocks. It’s how we mix pace and precision at scale.
Unframe positions itself as LLM-agnostic and doesn’t require mannequin fine-tuning. Why was it necessary so that you can keep away from the necessity for coaching customized fashions?
As a result of most enterprises don’t want customized fashions – they want customized outcomes. The second you begin fine-tuning, you’re locking your self into a selected vendor, rising prices, and creating upkeep overhead that the majority organizations aren’t set as much as deal with.
We designed Unframe to work with current trendy fashions in a means that also delivers tailor-made, high-quality outcomes – with out the complexity. By staying LLM-agnostic, we give enterprises flexibility, sooner time to worth, and the power to evolve because the mannequin panorama modifications. The objective isn’t to coach fashions – it’s to unravel issues. And you are able to do that extremely nicely with out touching fine-tuning.
What function does pure language interplay play in Unframe’s platform – and the way far can it go in changing conventional software program UIs?
Pure language is a robust entry level – it makes AI immediately accessible to enterprise customers, with out coaching or technical ramp-up. That’s particularly necessary if you’re working with international corporations and distributed workforces throughout completely different nations, roles, and languages. A chat-style interface helps stage the taking part in subject.
However each Unframe use case is completely different, and the interface must match the duty. Typically which means a pure language chat. Different instances, it’s a dynamic desk, an interactive dashboard, or a content material technology interface – no matter most closely fits the workflow and the result we’re fixing for.
We don’t see pure language as a substitute for conventional UIs, however as a layer that removes friction the place it issues. The objective is to make software program really feel intuitive, versatile, and tailor-made – not simply to the consumer, however to the issue they’re making an attempt to unravel.
What classes from scaling Noname Safety to a $1B+ valuation and $450M acquisition are you making use of at Unframe?
Deal with fixing actual, pressing issues – and do it with enterprise-grade execution from day one. At Noname, we realized that scale comes from belief, and belief comes from delivering quick with out chopping corners. At Unframe, we’re making use of that very same mindset: transfer rapidly, construct securely, and keep relentlessly customer-focused.
As a repeat founder, what’s your strategy to constructing management groups and firm tradition in hyper-growth environments?
In hyper-growth, you don’t have the posh of figuring issues out slowly – so that you want folks round you who are usually not solely nice at what they do, however who thrive in ambiguity and transfer with urgency. For me, constructing a management staff begins with belief, readability, and shared values. Everybody needs to be aligned on the place we’re going, and equally dedicated to proudly owning their a part of the journey.
Tradition is identical. It’s not ping-pong tables – it’s the way you make selections when issues get arduous. At Unframe, we’ve been intentional about making a tradition of possession, tempo, and honesty. We transfer quick, we hear arduous, and we push one another to be higher day by day. That type of tradition doesn’t simply survive hyper-growth – it drives it.
Thanks for the good interview, readers who want to be taught extra ought to go to Unframe.
