Many corporations have a backlog of high-impact AI use cases, plenty of POCs, and almost nothing in production. That gap is what Unframe, a managed AI delivery platform, aims to close.
“Our mission is to reinvent enterprise software,” says Larissa Schneider, Unframe’s co-founder and COO, a speaker at the VivaTech conference in Paris, June 17-20, and a member of the German delegation to the conference (Germany was country of the year at VivaTech 2026).
The three co-founders previously worked together at Noname Security, an API security company that was acquired by Akamai Technologies for approximately $500M in 2024.
Unframe CEO Shay Levi is a serial enterprise software entrepreneur and alumnus of Israeli intelligence unit 8200 — a renowned talent pipeline for Israeli tech founders. He was a co-founder of Noname Security. Azarya, Unframe’s VP R&D, managed parts of Noname Security’s R&D. At Unframe he oversees all platform engineering, including the modular building-block architecture and the Framery open platform.
The company was global from the start, with headquarters in Cupertino, California, and branches in Israel and Germany.
When the scale-up launched, it sponsored a conference, invited the CIOs of the 50 largest companies, and asked them how they are using AI. “We recognized really quickly a lot of software tools off the shelf don’t fit the enterprise,” says Schneider, “so we looked at how to develop functional software that fit real use cases.”
Today the company is servicing the financial services, industrial, insurance, consumer goods, life sciences, real estate, telecommunications, hospitality, and media sectors.
The enterprise AI platform market is one of the fastest-growing segments in enterprise software. Unframe has achieved one of the fastest growth trajectories in enterprise software history for a company of its age. The company, which launched in April of last year and has so far raised $100M, reports, as of May, Total Contract Value (TCV) of $100M in 12 months.
Customers include Cushman & Wakefield (real estate), MasterTel (telecoms), NZZ (media), Credera (consulting), and Acora (financial services). In January 2026, Unframe launched a formal channel program to accelerate go-to-market through systems integrators. And earlier this month, Unframe acquired Swish AI (whose clients included Nestlé, Mondelēz, and Pacific Life), further expanding its delivery capacity.
As foundation models become commoditized, value is migrating up the stack to deployment, orchestration, and outcome delivery — exactly where Unframe operates. Its offer includes:
- A Lego-like architecture: reusable modular AI building blocks covering semantic search, reasoning, automation, and intelligent document processing. Solutions are scoped, configured, and delivered — no fine-tuning or model training required.
- An open platform layer called The Framery that integrates with any SaaS platform, API, database, file format, or environment (cloud, on-premises, or hybrid).
- Outcome-based pricing: Customers pay for results, not licenses
- The platform runs on any large language model without vendor lock-in, a critical selling point for European enterprises concerned about data sovereignty.
- Data sovereignty: GDPR- and EU AI Act-compliant. No data leaves the customer’s perimeter unless it opts to do so. Solutions can be deployed on-premises, in a private cloud, or as fully managed SaaS.
Unframe boasts that it has Net Revenue Retention (NRR) of 400% — meaning existing customers expand spend fourfold on average. Take the case of Cushman & Wakefield. It was looking for a way to easily and accurately extract data from PDFs and unstructured data sets in lease agreements. In a customer testimonial for Unframe, Ross Hodges, global head of emerging technologies at Cushman & Wakefield, said the scale-up delivered on its promise to deliver its first use case in days, not months, starting with extraction of unstructured data in leases. Two weeks later, it delivered on all the metrics, says Hodges. The real estate company now has 15 projects with Unframe and says it expects that number to grow.
Competitive Landscape
Unframe competes across several overlapping categories, depending on the use case, with companies such as Microsoft Copilot Studio and Langdock, a German/EU sovereign AI platform.
Schneider says the company’s principal competitors are in-house teams at large corporations. She says its main differentiators with established tech companies and startups in its space are speed to production (days vs. months), no LLM dependency, governance-first architecture, and outcome-based pricing. Its main vulnerability is whether its “no fine-tuning” claims scale reliably across increasingly complex enterprise environments.
