AI Orchestration and MLOps · Founded by Shay Levi in 2024

Unframe AI

A managed AI delivery platform for global enterprises that deploys tailored, production-ready operational AI solutions and agentic workflows in days.

Rating

★ Exceptionally Bullish. Positioned as one of the fastest-scaling enterprise AI startups on record, it reached over $100 million in Total Contract Value (TCV) in its first 12 months with a staggering 400% net revenue retention.

Time to value

Extremely fast. Traditional internal enterprise AI workflows take months to conceptualize, train, and safeguard; Unframe compresses the deployment cycle down to a few days or weeks by building upon their reusable foundational elements.

Unframe AI operates an open platform known as The Framery—essentially an operating system for production-grade AI. Instead of forcing companies into long-term internal software development, Unframe utilizes hundreds of pre-built, modular technical building blocks (spanning semantic search, reasoning, and document extraction). By orchestrating these blocks through a specific specification file called a "Blueprint," they rapidly configure and launch custom AI systems. The platform runs securely inside the customer’s cloud boundary or on-premises, integrating directly with existing databases, CRMs, and APIs without requiring data to leave the perimeter.

What Unframe AI does

Orchestrating multi-step autonomous AI agents with built-in human-in-the-loop guardrails. Structuring and abstracting highly messy unstructured data (PDFs, Excel files, emails) into usable intelligence. Implementing cross-system automated enterprise workflows. Setting up centralized observability and activity logging for multi-agent systems. A proprietary operating system purpose-built to deliver production-grade AI safely alongside existing systems.Uses configuration instead of heavy coding, allowing modular building blocks to snap together seamlessly like software "Lego."Every new agentic workflow deployed shares context with previous ones, making subsequent deployments faster and the internal Knowledge Fabric stronger.Solutions deploy inside the client's cloud/on-prem boundary—ensuring proprietary data never leaves the organization.