Unframe – High-Level Company Overview

Summary

Unframe is an enterprise AI delivery platform that provides tailored, production-ready AI solutions in days rather than months. Instead of generic chatbots or complex custom builds, Unframe assembles modular AI building blocks into fully integrated solutions guided by a “Blueprint” architecture. The platform is designed for accuracy, security, and rapid deployment across any enterprise environment.

The company positions itself as a managed AI partner: businesses state the use case, and Unframe delivers the solution with no upfront cost and no data sharing requirements.

Core Problem They Solve

Enterprises struggle to operationalize AI due to:

• Inaccurate or generic outputs
• Fragmented tools and complex architectures
• High implementation effort and long timelines
• Low adoption when AI doesn’t drive clear business value

Unframe argues the issue is not AI itself, but the delivery method.

Their Solution: The Managed AI Delivery Platform

Unframe provides:

• Tailored AI solutions built around each company’s workflows
• Blueprint-driven configuration that orchestrates the right components
• Modular building blocks across search, reasoning, automation, and agents
• Fast deployment measured in days
• LLM-agnostic architecture that runs on any modern model
• Zero data sharing unless chosen by the customer
• On-prem or private cloud hosting options

The value proposition is: say the use case, get the working solution.

Key Capabilities

• AI-native workflow automation
• Retrieval, search, and enterprise reasoning
• Multi-agent orchestration for complex business processes
• Integration with any SaaS, API, database, file system, or environment
• Secure-by-design architecture suitable for regulated industries

Positioning Against Alternatives

Unframe differentiates itself from:

• Off-the-shelf tools that force companies to adapt to generic products
• Custom builds that are slow and resource-intensive
• Consultancies that are costly and take months
• DIY low-code AI tools that produce simple chatbots without real value

Their pitch: none of these options deliver enterprise-grade, tailored AI fast enough.

Architecture Concept: “Building Blocks + Blueprint”

Unframe references a core architecture built around:

• Deep technical building blocks (search, reasoning, automation, agents)
• A Blueprint file that configures and orchestrates them for each use case
• Adaptability so that solutions evolve with business needs
• Compatibility across all modern LLMs

This creates repeatable, yet customized, AI deployments.

Market Presence and Traction

Unframe highlights enterprise customers and partnerships across sectors, with public testimonials from executives at:

• Cushman & Wakefield
• Nomura
• Tarsus Distribution
• Climb Global Solutions

They also maintain heavy media coverage from outlets in the US, Europe, and Israel, including TechTarget, Computer Weekly, Yahoo Finance, SiliconANGLE, and others.

Funding and Investors

Unframe has raised $50M to scale its rapid enterprise AI deployment platform. They are backed by leading venture capital firms (names not listed on the webpage but referenced generally as “leading investors”).

Leadership

Founders:

• Shay Levi, CEO
• Larissa Schneider, COO
• Adi Azarya, VP R&D

Security and Deployment Model

• No data leaves the customer perimeter unless opted-in
• Deployable on-prem, in customer private cloud, or any environment
• Designed for compliance and enterprise-grade security controls

Integrations

Unframe supports integration with:

• Any SaaS platform
• Any internal or external API
• Any database
• Any file format or document system
• Any environment (cloud, on-prem, hybrid)

Locations

Unframe operates globally with offices in:

• Cupertino, California
• Tel Aviv, Israel
• Berlin, Germany

Value Proposition (Condensed)

Unframe enables enterprises to:

• Deploy tailored AI solutions quickly
• Reduce technical complexity and operational overhead
• Improve accuracy, productivity, and adoption across the business
• Avoid risky or inefficient build-from-scratch approaches

The model is outcome-driven: fast delivery, low risk, and enterprise-grade reliability.