Unframe
by Unframe
Managed AI delivery platform that turns critical enterprise operations AI-native in days
Unframe is a managed AI delivery platform that helps large enterprises turn business needs into production-grade AI solutions in days rather than months. It is built for Fortune 500 teams struggling to move AI projects out of pilot and into live operations.
Unframe (branded as the Unframe AI OS) is a managed AI delivery platform for the enterprise that unifies enterprise data, operational context, and agentic intelligence into one open system. The platform is organized around four components: an Agent Orchestrator for coordinated execution with built-in guardrails and observability, a Knowledge Fabric that turns fragmented enterprise data into AI-ready context, an AI-Native Data Warehouse that synchronizes data across systems and APIs, and modular building blocks for mission-critical AI use cases. It runs on any cloud, on-premises, or as SaaS and works with any LLM, and Unframe reports customers deploy solutions in days with 96% expanding to additional use cases. Founded in 2024 by former Noname Security executives Shay Levi (CEO), Larissa Schneider (COO), and Adi Azarya (VP R&D), the company crossed $100M in total contract value within twelve months and raised a $50M Series B in May 2026, bringing total funding to $100M.
At a Glance
- Category
- Enterprise Platform
- Pricing
- Contact for pricing
- Target Market
- CIOs, CTOs, Heads of AI, Enterprise Developers
- Founded
- 2024
Key Features
- ✓Agent Orchestrator
Coordinates multi-step agent execution with built-in guardrails and observability.
- ✓Knowledge Fabric
Transforms fragmented enterprise data into AI-ready operational context.
- ✓AI-Native Data Warehouse
Synchronizes and unifies data across enterprise systems and APIs for AI use.
- ✓Modular Building Blocks
Reusable, feature-rich components to assemble mission-critical AI solutions quickly.
Capabilities
Use Cases
- •Pilot-to-production delivery
Turn a business requirement into a deployed, operational AI solution in days rather than months.
- •Enterprise data unification
Bring siloed systems and APIs into one AI-ready knowledge and data layer.
- •Governed agent operations
Run agentic workflows across departments with guardrails, observability, and any-LLM flexibility.
Ideal For
Best For
- ✓Moving enterprise AI projects from pilot to production
- ✓Unifying fragmented enterprise data into AI-ready context
- ✓Deploying governed AI agents across critical operations
Deployment
Market Analysis
Pros
- ✓Rapid time-to-production for enterprise AI
- ✓Open deployment across any cloud, on-prem and any LLM
- ✓Strong early traction with Fortune 500 customers
Cons
- ✗Founded in 2024, so limited long-term track record
- ✗Enterprise-only, no public self-serve or transparent pricing
Pricing
Enterprise
Contact for pricing
- ✓Managed AI delivery
- ✓Any cloud / on-prem / any LLM
- ✓Agent orchestration, knowledge fabric and data warehouse
Sold as multi-year enterprise contracts (typically 3-5 years); no public self-serve pricing.
Sources
This page was written from 2 sources, 1 on domains other than unframe.ai.
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