Unite.AI 04月04日 00:40
Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment
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Unframe,一家新一代企业AI平台,正式宣布完成5000万美元融资,由Bessemer Venture Partners领投。该平台旨在通过消除传统AI部署的障碍,如漫长的开发周期、安全瓶颈和对内部AI专业知识的需求,来重新定义大型组织实施人工智能的方式。Unframe的核心是Blueprint Approach,它为大型语言模型(LLMs)提供必要的上下文,以实现高度相关的、特定领域的成果。 此外,Unframe还提供灵活的部署选项,包括本地和公共云,并采用基于结果的定价模式,客户只有在解决方案部署并产生价值后才付费。目前Unframe已服务于数十家财富500强客户,并实现了数百万美元的年经常性收入。

🚀 Unframe的核心是Blueprint Approach,这种方法为大型语言模型(LLMs)提供必要的上下文,从而产生高度相关的、特定领域的成果。这意味着企业无需训练或微调模型,从而节省了资源。

🔒 Unframe平台允许与SaaS工具、API、数据库和专有文件系统完全集成,同时确保客户数据不会离开其安全边界,并提供本地和公共云的灵活部署选项,以实现对数据处理和监管合规性的最大控制。

💰 Unframe采用基于结果的定价模式,客户只有在解决方案部署并产生价值后才付费,这消除了与企业软件采购相关的风险,并加速了价值实现的时间。

💡 Unframe已经服务于数十家财富500强客户,并实现了数百万美元的年经常性收入。客户反馈表明,Unframe在处理结构化和非结构化数据方面的准确性、速度和质量都带来了显著的运营转变。

Unframe, a next-generation enterprise AI platform, has officially emerged from stealth with a $50 million funding round led by Bessemer Venture Partners, alongside TLV Partners, Craft Ventures, Third Point Ventures, SentinelOne Ventures, and Cerca Partners. The funding marks a significant milestone for Unframe as it accelerates global expansion, fuels R&D, and scales delivery of its turnkey AI solutions that are already gaining traction with leading enterprises around the world.

Unframe is redefining how large organizations implement artificial intelligence by eliminating the usual friction—long development cycles, security bottlenecks, and the need for in-house AI expertise. Its platform enables enterprises to go from concept to fully deployed, custom AI solution in hours, not months. Unlike generic AI tools or narrowly focused point solutions, Unframe is built to adapt to any enterprise use case across any system or department.

Instant AI Solutions Without the Overhead

At the heart of Unframe’s platform is what it calls the Blueprint Approach, a methodology that provides the necessary context to large language models (LLMs) to deliver hyper-relevant, domain-specific outcomes. This means enterprises don’t need to train or fine-tune models, which is traditionally one of the most resource-intensive parts of deploying AI. Unframe is also LLM-agnostic, allowing customers to use or switch between public and private models without being locked into a single ecosystem.

From parsing chaotic data across legacy systems to analyzing structured and unstructured data with precision, Unframe’s AI agents function like domain experts that can integrate with any system, automate complex workflows, and offer actionable insights—all using natural language inputs.

A New Model for Enterprise AI: Secure, Fast, and Flexible

Enterprise adoption of AI has often been hindered by concerns over security, compliance, and implementation overhead. Unframe is turning this challenge into a competitive advantage. The platform allows for full integration with SaaS tools, APIs, databases, and proprietary file systems—while ensuring that customer data never leaves their secure perimeter unless explicitly allowed. Flexible deployment options include on-premise and public cloud, providing organizations with maximum control over data handling and regulatory compliance.

Unframe also introduces a radical shift in how AI services are priced and delivered. The company operates on an outcome-based pricing model: customers only pay once a solution is deployed and delivering value. This removes the risk typically associated with enterprise software procurement and accelerates time-to-value.

Rapid Traction and Real-World Impact

Despite only recently emerging from stealth, Unframe is already serving dozens of Fortune 500 clients and has achieved millions in annual recurring revenue (ARR). Its early success underscores a growing enterprise need for more agile and effective AI solutions.

“Unframe’s unmatched accuracy, speed, and quality in processing structured and unstructured data have transformed our operations,” said the CIO of a global investment bank.

“At Cushman & Wakefield, our AI+ strategy is focused on bringing fast-paced and innovative solutions to unlock critical insights, and we are aggressively pushing forward with Unframe,” added Salumeh Companieh, Chief Digital & Information Officer.

“Thanks to Unframe, we brought our AI use case to life in just two weeks—something our team had been struggling with for nine months,” said a VP of Innovation at a Fortune 100 insurance company.

A Seasoned Team with a Proven Track Record

Unframe is led by CEO and co-founder Shay Levi, who previously co-founded Noname Security, scaling it to $40M ARR and a $500M acquisition by Akamai. He’s joined by COO Larissa Schneider and VP of R&D Adi Azarya, both veterans in scaling enterprise software through IPOs, M&A, and international expansion. The leadership team’s deep expertise in cybersecurity, product development, and operational scaling is foundational to Unframe’s rapid growth and enterprise-grade offering.

“Unframe is flipping enterprise AI on its head by quickly providing customized software based on an enterprise’s exact needs,” said Amit Karp, Partner at Bessemer Venture Partners. “I have the utmost confidence in Shay and the team to redefine how software is built and delivered to the enterprise world.”

Why It Matters

In an environment where AI adoption is imperative but often complex, Unframe offers a bold alternative. By removing technical hurdles, compliance friction, and vendor lock-in, Unframe empowers enterprises to move faster, act smarter, and unlock the full potential of their data—securely and on their own terms.

With a unified platform that supports unlimited integrations, real-time collaboration, and autonomous task execution, Unframe is positioning itself as the central nervous system for enterprise AI.

This funding round not only affirms market confidence in Unframe’s mission but signals a broader shift in enterprise expectations: from slow, one-size-fits-all solutions to agile, secure, and completely customizable AI that delivers value from day one.

The post Unframe Emerges from Stealth with $50M to Transform Enterprise AI Deployment appeared first on Unite.AI.

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