
Unframe, a Cupertino-based managed AI delivery platform co-founded by Shay Levi, raised an additional $50m led by Highland Europe, bringing total funding to $100m. Returning investors also participated. The company claims it crossed $100m in total contract value over the past twelve months while maintaining a 400% net revenue retention rate. Its customer base includes Fortune 500 enterprises across multiple geographies. The growth model centers on enterprises with AI use-case backlogs and little production deployment. Unframe delivers tailored, production-grade solutions in days, then contract value compounds as adjacent use cases are added within the same customer. The platform positions itself as a managed delivery layer between enterprise AI ambitions and chosen foundation models.
"Unframe says it has crossed $100m in total contract value over the past twelve months at a 400% net revenue retention rate, with the customer base spanning Fortune 500 enterprises across multiple geographies."
"The growth pattern Unframe describes is one in which an enterprise hits a specific operational bottleneck, the company delivers a tailored production-grade solution in days, and the contract value then compounds inside the same customer as adjacent use cases are pulled into the deployment."
"“Every enterprise we speak with has a backlog of high-impact AI use cases and almost nothing in production,” chief executive Shay Levi said in the statement."
"“We built Unframe to close the gap between ambition and execution.” The framing positions a category as much as a product. Unframe is selling itself as the managed-delivery layer that sits between an enterprise's AI ambition and the foundation models it has chosen, an explicit alternative to the build-it-yourself and hire-a-systems-integrator paths most Fortune 500 firms have defaulted to over the past eighteen months."
#enterprise-ai #managed-ai-delivery #funding-and-venture-capital #net-revenue-retention #foundation-models
Read at TNW | Investors-Funding
Unable to calculate read time
Collection
[
|
...
]