Unframe Raises $50M Series B as Its Enterprise AI Delivery Platform Gains Rapid Traction

Enterprise AI startup Unframe is positioning itself as a faster way for large companies to deploy real-world AI applications. The Cupertino-based company recently raised $50 million in Series B funding, bringing its total funding to $100 million, while reporting rapid early adoption from enterprise customers.

Within its first year, the company says it has already surpassed $100 million in total contract value (TCV) and achieved 400% net revenue retention, metrics that suggest strong expansion among early customers—though these figures are company-reported.

What Unframe Does

Unframe describes itself as a managed enterprise AI delivery platform designed to convert business use cases into production-ready AI applications. Instead of providing only developer tools or model APIs, the platform aims to deliver complete AI solutions for enterprises.

The idea is to remove the complexity companies face when building AI internally. Enterprises often need to combine models, data pipelines, security controls, integrations, and deployment infrastructure—tasks that can take months.

Unframe’s platform aims to compress that timeline by:

• Identifying high-impact enterprise AI use cases
• Securely connecting to internal systems and company data
• Generating custom AI applications tailored to those workflows
• Deploying production-ready solutions in hours rather than months

The system is designed for secure deployments across multiple enterprise use cases without requiring customers to share sensitive data or perform extensive model fine‑tuning.

Details of the $50M Series B

Unframe’s latest financing round adds significant capital to accelerate growth.

• Funding raised: $50 million Series B
• Lead investor: Highland Europe
• Participating investors: Bessemer Venture Partners, Craft Ventures, TLV Partners, Third Point Ventures, Cerca Partners, and Vintage Investment Partners
• Total funding: $100 million after the round

The new funding is expected to support product development, research, and global expansion of the company’s enterprise AI platform.

Reported Traction: $100M in Contracts and 400% NRR

Unframe has reported unusually fast early growth for a young enterprise software company.

Key metrics the company has disclosed include:

• More than $100 million in total contract value (TCV) within 12 months
• 400% net revenue retention, indicating strong customer expansion after initial deployments
• Partnerships with global enterprise customers and early revenue in the millions of dollars annually

If accurate, these metrics place the company among the fastest-scaling enterprise AI startups reported in recent years.

Founders and Background

Unframe was founded by:

• Shay Levi (CEO)
• Larissa Schneider
• Adi Azarya

Levi previously co‑founded Noname Security, an API security company acquired by Akamai for roughly $450 million, bringing prior enterprise cybersecurity experience to the new venture.

How Unframe Fits Into the Enterprise AI Market

Unframe enters a highly competitive and rapidly evolving enterprise AI platform market.

Large cloud and enterprise software companies already provide foundational AI infrastructure, including platforms from Microsoft, AWS, Google Cloud, IBM, and Databricks. These platforms typically focus on tools, data infrastructure, and model deployment capabilities.

At the same time, a new generation of startups is building AI applications and agent platforms that sit closer to business workflows.

Unframe’s strategy falls somewhere between these approaches. Rather than selling raw tools or only packaged AI apps, it aims to provide AI outcomes delivered as finished enterprise applications.

This “managed AI delivery” model effectively blends software platforms with implementation services, allowing enterprises to adopt AI faster without assembling complex technical stacks internally.

Why Investors Are Paying Attention

Enterprise AI adoption is accelerating, but many organizations still struggle to move from experimentation to production. Platforms that promise fast deployment and measurable business outcomes are attracting investor interest.

Unframe’s rapid growth metrics and large enterprise contract values suggest there is significant demand for platforms that deliver working AI systems instead of just tooling.

Whether the model scales long‑term will depend on the company’s ability to automate more of the delivery process and compete with both hyperscale cloud providers and a growing wave of AI application startups.