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Builds custom AI agent deployments for large enterprises and charges only once the deployment shows results.
Unframe is an enterprise AI platform founded in 2024 by Shay Levi, Larissa Schneider, and Adi Azarya, with Levi previously having co-founded Noname Security. Instead of selling a self-serve product, Unframe builds tailored AI deployments for large companies, an agent orchestrator, a data layer that unifies enterprise systems into AI-ready context, and voice-agent capabilities, aimed at sectors like financial services, insurance, healthcare, and manufacturing. Pricing is outcome-based: the company states customers pay once a deployment demonstrably delivers value rather than a fixed subscription. The company raised $50 million in Series B funding and reported already having millions in annual recurring revenue at launch.
Pricing is outcome-based and negotiated per deployment; the company states customers pay when a deployment shows measurable value rather than a fixed subscription fee.
Use tool ↗Unframe is a fit for a large company that wants a custom AI deployment built for its specific systems rather than a generic product it has to adapt to, and the outcome-based pricing removes some of the risk of paying for something that doesn't work. That same custom, sales-led model means there's no way to try it cheaply or self-serve, every engagement starts with a sales conversation.
Watch out: Outcome-based pricing sounds low-risk, but get the specific success criteria and payment trigger in writing before starting a deployment, since what counts as delivered value is open to interpretation.
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