Shelf Inc.

Shelf offers an enterprise agentic AI platform organized around what the company calls an "AI Data Model" — a structured representation of an organization's policies, workflows, business concepts, relationships and operational logic intended to give AI agents the context needed to reason and act. The platform connects structured and unstructured data from across a customer's systems and repositories into a single governed foundation, then converts that knowledge into a form agents can interpret and act upon.

The product is described as a layered architecture with four components: agentic experiences delivered across chat, voice and email channels; CortexAI, which configures how agents reason, decide and act and orchestrates multi-step workflows; the AI Data Model layer, which unifies data into a structured intelligence layer; and a knowledge and governance layer for accuracy, consistency and control over the information driving agent decisions. Shelf frames customer implementation as three steps: connecting data and systems, building the AI Data Model including business logic and guardrails, and deploying and scaling agents while reusing data models across use cases and teams.

Business model

Shelf sells its agentic AI platform to enterprises through a direct sales motion, with the website directing prospects to "Talk to an Expert" rather than offering self-service sign-up.

Traction

The company cites enterprise deployments including a global rideshare and delivery company where Shelf addressed more than 100,000 content issues to produce GenAI-ready data, a global coffee brand that reduced content ROT and reached 95% first contact resolution, HelloFresh with a 20% reduction in average handle time, and Intrum, whose quality manager reported a 25% reduction in average handle time in the first three months after go-live.", "go_to_market">null}