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NOAN

NOAN provides a verified fact layer that serves approved and versioned company facts through an API and MCP to keep AI models, agents, and applications grounded in a shared source of truth.

Code & ITServes approved and versioned facts to…Scans organizational websites to build…Integrates with SlackApproved and Versioned Fact Serving
NOAN product interface screenshot
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What Is NOAN? Product Overview

What the product does and how it is positioned

NOAN is designed as a centralized fact layer for agentic businesses, serving approved and versioned corporate facts from a single API and MCP interface. Rather than relying on unvetted memory acquired by autonomous models, the platform organizes approved company data into a company graph to act as a definitive source of truth across models, agents, and applications.

The platform features Verity, an assistant capable of reading an organization's website to map its company graph and generate a workspace, alongside integrations such as Verity in Slack. NOAN also lists dedicated product modules including Tasks, Activity, Network, and Time Travel to support business operations.

What Can You Use NOAN For?

Source-supported ways to use the product

Grounding Autonomous Agents and Models

Organizations connect AI models, agents, and software applications to the NOAN API and MCP to supply them with approved, versioned company facts.

Company Graph Generation via Website Analysis

Teams provide a corporate web domain to Verity to automatically scan the website, generate a structured company graph, and establish a working environment.

Verified Fact Layer and Company Graph Architecture

NOAN distinguishes company facts from standard AI memory. While AI memory consists of unstructured information picked up by models over time without human sign-off, NOAN defines facts as approved, versioned company truths delivered through a unified interface.

By centralizing these verified data points, NOAN builds a structured company graph. Autonomous agents, language models, and external applications query this graph through the NOAN API and Model Context Protocol (MCP) integrations.

  • Serves approved and versioned facts through a single API and MCP connection
  • is intended to reduce agent drift by substituting unverified AI memory with signed-off data
  • Constructs a structured company graph to serve as an organizational workspace
  • Integrates directly with workflows such as Slack through Verity

What to Test Before Choosing NOAN

Checks to run with your own material and workflow

  • Verify that your existing agentic workflows and AI models can connect via the NOAN API or MCP.
  • Confirm that your public website content is comprehensive enough for Verity to generate an accurate company graph.
  • Review how your organization manages approval and versioning workflows for facts before exposing them via the API.

NOAN Sources and Last Checked

What was checked and when

Last checked
Category
Code & IT

NOAN Frequently Asked Questions

Answers based on the source-checked product record

What is NOAN?

NOAN is a verified fact layer designed for agentic businesses that serves approved, versioned facts to models, agents, and applications from a single API and MCP.

How does NOAN distinguish facts from AI memory?

NOAN defines a fact as an approved, versioned truth about a company, whereas AI memory is unverified context that an AI model gathers over time without administrative sign-off.

What role does Verity play in NOAN?

Verity is an assistant within NOAN that reads an organization's website, generates a company graph, establishes a workspace, and connects into environments like Slack.

How do external models and applications access NOAN data?

External models, apps, and agents access NOAN data through the NOAN API and Model Context Protocol (MCP) connections, supporting they all run from a unified source of truth.

Which platforms and integrations are documented for NOAN?

NOAN explicitly documents integration with Slack through Verity in Slack, alongside developer access via the NOAN API and Model Context Protocol (MCP) interface.

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