Unframe.AI: Ranked 2nd in the Calcalist ranking — or: Why most companies fail with AI before they even begin

$10 million in revenue in the first year: Why Unframe is the new star in the enterprise AI sky

No upfront payment, results in one week: How Unframe is shaking up the software market for large corporations

Artificial intelligence promises a revolution in the world of work, but in reality, most initiatives get bogged down in endless, costly pilot phases. Unframe addresses precisely this structural bottleneck: The German-Israeli startup delivers ready-to-use AI solutions for large corporations in just a few days – and completely without upfront costs. With this radical, results-oriented approach, the company, founded in 2024, generated over $10 million in revenue in its first year and attracted prominent investors like Bessemer Venture Partners. Now, Unframe has been ranked second among the most promising startups of 2026 in the prestigious Calcalist ranking. But is this meteoric rise just another hype or the beginning of a new standard? An in-depth analysis reveals why Unframe solves not only a technological but, above all, an economic industry problem, and how the company, headquartered in Tel Aviv and Berlin, is redefining the $80 billion enterprise AI market.

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Goodbye, pilot phase: This start-up shows companies how artificial intelligence truly scales

When a company that has only been active in the market for just under a year already generates more than ten million dollars in revenue, has prominent venture capitalists like Bessemer Venture Partners and Craft Ventures behind it, and is simultaneously ranked second among the most promising startups of 2026 by one of Israel's most respected tech publications, then that deserves more than a footnote. It deserves an economic analysis—sober, data-driven, and without euphoria.

Calcalist ranking: Signal or noise?

Unframe 's ranking of second on Calcalist and CTech's annual list of the 50 most promising Israeli startups is no mere media spectacle. The list has existed for 17 years and is considered one of the most reliable leading indicators in the Israeli tech ecosystem for companies on the verge of a breakthrough. Candidates are selected with the support of leading investors, entrepreneurs, and industry consultants, as well as by the publication's editorial team itself—a multi-stage process that goes beyond simply raising capital.

This year's ranking is particularly revealing in its composition: 24 percent of the listed companies operate in the field of Agentic AI, and another 18 percent in AI infrastructure. This is no coincidence. It reflects a structural shift within the Israeli ecosystem—away from speculative platforms and toward solutions designed to deliver operational, measurable impact on businesses. Irregular, an AI startup founded in 2023 that has raised $80 million, including funding from Sequoia, takes first place. AIR, a company developing autonomous aircraft for the consumer market, comes in third. Unframe thus positions itself at the forefront of the industry, not as a technological outsider, but as the answer to a real, economically relevant problem.

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• CTECH/CALCALIST: “Despite all the noise, organizations struggle to extract real value from AI”

The company: founders, financing and positioning

Unframe was founded in 2024 by Shay Levi, Larissa Schneider, and Adi Azarya. Shay Levi is a familiar face in the technology sector: As co-founder and former CTO of Noname Security, he led the company to a valuation of nearly $500 million in less than four years before its acquisition by Akamai. Noname had previously raised over $220 million from leading venture capital firms and achieved $40 million in annual recurring revenue (ARR) before the sale. It is this track record—not just the promise of a clever product—that established Unframe's early credibility with institutional investors.

Larissa Schneider, COO who heads operations and is based in Berlin, makes Unframe an explicitly Israeli-German startup. This geographical focus in Europe is no coincidence: The European enterprise market, particularly in Germany, is considered one of the most demanding, but also most lucrative for enterprise software—characterized by stringent data protection requirements, long decision-making cycles, and a pronounced skepticism towards rapidly developed AI solutions.

The company has completed two funding rounds to date: a $20 million seed round led by TLV Partners and a $30 million Series A round led by Bessemer Venture Partners. Other investors include Third Point Ventures, Craft Ventures, and the Israeli fund Cerca Partners. This brings the total funding to $50 million—a remarkable sum for a company in its early stages, demonstrating confidence in the founding team and the market potential.

The market problem: What if AI pilots never land?

To understand Unframe's economic relevance, one must first grasp the structural failures of the enterprise AI market. McKinsey's State of AI 2025 study—one of the most comprehensive global surveys, with nearly 2,000 executives from 105 countries—paints a sobering picture: 88 percent of organizations are using AI in at least one business function, yet two-thirds remain stuck in the experimentation or pilot phase. Only about one-third of companies are actually scaling AI across their entire operations.

This finding is complemented and reinforced by Deloitte's report on the state of enterprise AI in 2026: only 25 percent of companies have transitioned more than 40 percent of their AI pilot projects into production. The transition from experimentation to productive use is the most critical bottleneck in the entire lifecycle of AI projects. Deloitte describes this situation as a symptom of competing priorities: companies must keep their core business running with existing technologies while simultaneously investing in future-proof innovations.

The causes of this so-called scaling gap are systemic. McKinsey identifies three persistent obstacles: fragmented data and legacy technology, work processes designed for human execution, not AI automation, and finally, the lack of clear scaling priorities within company leadership. Added to this is a measurement problem: without clearly defined KPIs and baseline metrics, pilot projects cannot provide a compelling case for company-wide investment. Only 6 percent of organizations worldwide are considered AI high performers according to McKinsey's criteria—that is, companies where more than 5 percent of earnings before interest and taxes (EBIT) are attributable to AI.

These figures are not abstract market data. They are the economic foundation on which Unframe has grown.

The product: Speed ​​as a competitive advantage

Unframe's core promise can be summarized in one sentence: AI solutions for businesses in days instead of months—and without any upfront costs. While this sounds like a marketing slogan, closer inspection reveals a well-thought-out, economically sound business model.

Specifically, Unframecommits to delivering a ready-to-use solution within one week of completing a problem characterization process. Customers only pay once they are satisfied with the result—an approach that radically reverses the classic risk of enterprise software implementation. Around 50 percent of customers have reached the satisfaction threshold and paid so far. While this may initially sound like a mediocre figure, it is remarkable in the context of the enterprise software market: Traditional models, where customers decide whether to purchase after a trial period, typically have significantly lower conversion rates. After the customer expresses satisfaction, the contractual relationship switches to a standardized SaaS subscription model.

The technical architecture is LLM-agnostic—meaning Unframe is not tied to a single language model and requires no fine-tuning or model training. This flexibility is crucial in an enterprise context: Large companies operate in regulated environments that enforce specific data requirements, compliance regulations, and sovereignty rules. A platform that integrates seamlessly with existing systems without exposing proprietary data to external models resolves a fundamental conflict of trust.

Unframe describes its methodological approach as the Blueprint Approach: a structured collaboration with enterprise clients to develop solutions in the areas of observability, data abstraction, intelligent agents, and system modernization. The company is therefore targeting not startups or medium-sized businesses, but large international corporations whose AI transformation has previously failed due to complexity, costs, and a lack of internal expertise.

Growth figures: Early traction, high expectations

The financial figures are exceptional for a company that has only been active in the market for less than a year. Unframe reports revenue of more than $10 million and aims to reach $50 million by the end of 2026. This would correspond to an internal growth target of 400 percent within a year—ambitious, but not unrealistic for a company targeting the mass market for enterprise AI deployment, which is estimated to reach over $80 billion by 2026.

The company already boasts dozens of large corporate clients worldwide. It employs 120 people, around 60 of whom are based in Israel. The ratio of employees to revenue suggests a relatively capital-efficient organization—a characteristic that institutional investors particularly value in early-stage SaaS companies.

For comparison, the global market for agentic AI—that is, AI systems capable of autonomously executing multi-stage processes—is estimated to reach $28 billion in 2026, up from $5.25 billion in 2024—more than fivefold growth in two years. Gartner predicts that 40 percent of all enterprise applications will contain AI agents by the end of 2026, compared to less than 5 percent in 2024. This market dynamic explains why Unframe's growth targets, despite their aggressiveness, can be considered plausible.

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The Israeli technology sector as an ecosystem

Unframe's emergence and rapid funding successes cannot be fully understood without the context of the Israeli tech ecosystem. Despite geopolitical uncertainties following the attack of October 7, 2023, Israel has demonstrated remarkable resilience in recent years. Israeli startups raised an estimated $15.6 billion in private capital in 2025—a significant recovery after two volatile years and comparable to 2022 levels.

The market structure has fundamentally changed: The number of funding rounds fell to 717—the lowest level in a decade—while the median deal size rose to $10 million, an increase of 67 percent year-over-year. Investors are making fewer, but significantly larger bets. Enterprise software, which includes AI applications, alone raised $4.5 billion. Cybersecurity and generative AI dominated the overall picture: These sectors accounted for 40 percent of all funding rounds and together represented approximately 70 percent of the total capital raised.

Bessemer Venture Partners, Unframe's Series A lead, holds three of the ten highest-ranked startups in the Calcalist 2026 ranking in its portfolio: in addition to Unframe Unframe ZyG is ranked 4th and Port.io 6th. This is no coincidence, but rather the expression of a clear investment thesis: companies that not only develop AI, but also integrate it into operational business processes and deliver measurable ROI, will represent the next generation of enterprise software market leaders.

The competitive context: What Unframe apart from others

The market for enterprise AI deployment is far from uncontested. Salesforce, ServiceNow, Microsoft, and SAP are investing heavily in native AI capabilities within their existing platforms. Specialists like UiPath in robotic process automation and Palantir in data-driven decision support have also established significant market positions. In addition, numerous smaller AI providers are making similar promises regarding rapid implementation and measurable results.

Unframe's differentiating factor lies not only in its technical architecture but also in its business model. Its results-oriented pricing model—no payment without proven impact—addresses the fundamental trust deficit that has hampered enterprise AI for years. Companies that have previously spent significant amounts on consulting and implementation for projects that never delivered the promised added value are understandably interested in a risk-free entry option. This explains the high conversion rate and rapid revenue growth of this still-young company.

Platform agnosticism towards LLM providers is another unique selling point. In a market where the model landscape changes monthly—Anthropic has now captured a 40 percent market share in the enterprise LLM segment, surpassing OpenAI's 27 percent—an architecture not tied to a single model provider is a structural advantage. Customers don't have to make strategic bets on the dominance of a single LLM provider.

Structural growth drivers: Why 2026 is a turning point year

The momentum driving Unframe isn't unique to one company. It's the result of a broader maturation process across the entire enterprise AI market. PwC succinctly summarizes it in its 2026 forecast: There's no longer any patience for exploratory AI investments. Every dollar spent is expected to produce measurable results.

McKinsey describes 2026 as the year the scaling gap closes: companies that remain stuck in perpetual pilot projects will fall structurally behind. Leading organizations are shifting from isolated use cases to integrating AI into the core operational structure of the business—what McKinsey calls the AI ​​factory: a combination of technology platforms, standardized methods, and reusable data assets. It is precisely at this moment of transition that Unframe's offering is most relevant.

Gartner complements this assessment with a far-reaching forecast: AI agents, currently embedded in less than 5 percent of enterprise applications, will be embedded in 40 percent by the end of 2026. The leap from task-specific agents to fully networked multi-agent ecosystems is described as one of the fastest transformations in the history of enterprise technology since the advent of cloud computing. By 2035, agentic AI is projected to account for $450 billion of global enterprise software revenue, representing approximately 30 percent of the total market.

Access to employees who use AI daily increased by 50 percent in 2025. According to Deloitte, the number of companies that bring more than 40 percent of their AI projects into productive use is expected to double in the next six months.

Risks and critical assessment

Despite all the positive signs, it would be analytically dishonest to describe Unframe's rise without critical evaluation. The results-oriented pricing model carries inherent risks: only around 50 percent of customers have actually paid so far. Conversely, this means that every second project generates no revenue—with direct consequences for cash flow planning and resource allocation. With a growing customer base, this can have structural repercussions for profitability if the conversion rate doesn't increase significantly.

Furthermore, Unframe's promise of a working solution within one week of problem characterization is not equally feasible in all enterprise environments. Highly regulated industries such as financial services, healthcare, and public administration are subject to strict compliance requirements that can block even well-intentioned AI implementations for months in review and approval processes. The one-week promise also presupposes a certain degree of standardizability of the problem, which is not always the case in the reality of complex enterprise architectures.

Finally, the market for rapid enterprise AI implementation is dynamic and highly competitive, with well-funded players. Established systems integrators—from Accenture to Infosys—have developed AI-specific delivery models that make similar promises but leverage decades of customer relationships and industry-specific knowledge. The technical entry point for new competitors is low; however, gaining the trust of large institutional clients is a significant hurdle.

The Israeli-German founding team in a global context

The fact that Unframe's COO Larissa Schneider operates from Berlin is more than a geographical footnote. It underscores a strategic decision: Europe, and especially the German-speaking region with its Industry 4.0 infrastructure, its strict GDPR requirements, and its deep SAP penetration in large corporations, is a natural core market for a platform that offers legacy-compatible, compliance-enabled AI solutions.

Schneider stated it directly at the Mind the Tech Berlin conference in 2025: By 2026, companies must accelerate their AI adoption or risk falling behind. This isn't just marketing hype—it's an empirically proven thesis. McKinsey shows that companies with more than $5 billion in revenue are already twice as likely to use AI in production as smaller companies. The window of opportunity for medium-sized and large companies to catch up before the competitive gap becomes insurmountable is measurable and limited.

The combination of Israel as a global innovation hub with Europe's demand for practical, regulatory-compliant AI solutions creates a positioning that is neither purely American nor purely European — and therefore potentially more sustainable than competing offerings that prioritize one of these markets.

More than a ranking moment

Unframe's second-place ranking in Calcalist's 2026 ranking is not merely a media gimmick. It marks a moment when a young company offers the right solution at the right time in the right market. The structural problem—companies getting stuck in pilot mode instead of productively scaling AI—is real, measurable, and increasingly expensive. Unframe's answer is pragmatic, market-driven, and backed by an experienced founding team with a proven track record.

The economic logic is compelling: In a market where enterprise AI spending is projected to rise from $37 billion in 2025 to over $80 billion in 2026, the winners aren't the companies conducting the best basic research—but rather those that can translate complex technology quickly, securely, and measurably into operational value. This is precisely Unframe's playing field. Whether $50 million in annual revenue is achievable by the end of 2026 remains to be seen. But the structural growth drivers, market momentum, and capital base speak volumes: This company has made the right noise at the right time.

Konrad Wolfenstein

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