Unframe AI
Unframe AI is an enterprise AI platform (Unframe AI OS) that assembles production-ready AI solutions from modular building blocks — an Agent Orchestrator, Knowledge Fabric, AI-native Data Store, and Voice Agents — so companies can deploy agentic AI across unstructured data, cross-system workflows, and legacy systems without rebuilding core software. Deployments run in cloud, private VPC, or fully on-premises, are model-agnostic, and are governed with RBAC, SSO, lineage tracking, and audit logs. Founded by Shay Levi, Larissa Schneider, and Adi Azarya, with offices in Cupertino, Tel Aviv, and Berlin; backed by Bessemer Venture Partners and others; acquired Swish AI. Sales-led platform with no public developer API surface today.
Unframe AI is profiled on the APIs.io network. Tagged areas include Company, Ai Ml, Enterprise AI, Agentic AI, and AI Agents.
Unframe AI’s developer surface includes engineering blog, support, and 12 more developer resources.
Kin Score
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API