Verified company facts
Store company information as approved, versioned records whose histories remain available when facts change.
NOAN
NOAN is a business fact layer for approved, versioned company information, delivered through a REST API and MCP to keep websites, apps, teams, and AI agents aligned.
A shared source for company facts
NOAN is a fact layer for businesses that need agents, applications, websites, and teams to work from the same company information. It represents business knowledge as approved, versioned, permissioned facts rather than relying on model memory or disconnected documents.
The platform provides a headless REST API and MCP access to those facts. Verity, NOAN's general agent, can read a company's website to create a company graph, dispatch tagged work to specialist agents, and report results through a shared task and workspace record. Changes to facts retain their history, so connected outputs can be updated from a common source.
Core capabilities
API and MCP access
Expose the fact layer through a headless REST API and MCP, allowing models, agents, websites, and applications to use the same source.
Company graph and workspace records
Organize facts into a connected company graph, with related contacts, notes, assets, tasks, and other workspace information available through the platform.
Agent task orchestration
Route work with tagged tasks. Verity can dispatch specialist agents, while people can assign, watch, redirect, or pause work from the shared task board.
Shared operational record
Keep agent outputs, meeting notes, contacts, and produced assets in the workspace so later work can use the accumulated record.
Slack-based team workflow
Let teams use Verity in Slack on Team plans and above, where it can answer from verified facts, draft potential fact cards for review, and create or work on tasks.
Practical use cases
Create a company knowledge base
A founder can give Verity a work email and company website so it can build an initial company graph and turn the resulting workspace into a structured base for future agents and applications.
Coordinate recurring agent work
An operations team can put recurring work on the task board, use tags to wake the relevant specialist agent, and keep human assignment, review, and redirection visible in one place.
Keep connected content aligned
A product or marketing team can serve pricing, product, or other company facts to a website or internal application through the API, then update the fact once when the approved information changes.
Ground customer-facing operations
A sales or support team can use verified facts for answers, contacts, notes, and follow-up tasks, with activity and agent results written back to the shared workspace.
Build custom agents and apps
An agent builder can use the REST API, MCP, or OpenAPI documentation to connect a model or custom application to company facts without tying the fact base to one model provider.
Pros and Cons
Pros
- Uses approved, versioned facts with visible history instead of treating conversational memory as the source of truth.
- Provides one API and MCP surface for websites, applications, models, and agents.
- Combines agent dispatch, task supervision, contacts, notes, and assets in a shared operational record.
- Supports both individual plans and team or enterprise deployments, with a free starting tier.
Cons
- The platform's strongest team capabilities are plan-dependent; shared workspace facts, roles, and the Slack app are listed for Team plans and above.
- The product is centered on structured company facts and API-connected workflows, so organizations looking only for a standalone chat assistant may need a different type of tool.
- Some integrations and deployment details are described at a high level rather than as a complete supported-app catalog.
FAQ
How does NOAN connect to agents and applications?
NOAN provides a headless REST API and MCP access. Apps, websites, agents, and models can read and write company information through the API using scoped keys and role-based access.
How is a NOAN workspace set up?
A company can start by giving Verity a work email and website. Verity reads the site, creates a company graph, and turns the workspace into a fact layer. Teams can then use the API, MCP, task board, and supported team surfaces.
How does NOAN keep information traceable?
Facts are approved, versioned, permissioned records. Changes retain their history, and answers can be traced to the fact and version used. Agents are expected to read the fact layer before acting and write their results back afterward.
What does Verity do?
Verity is NOAN's general agent. It can turn a goal into tagged tasks, select specialist agents, supervise their work, ask a human for judgment when needed, and report results back. Tasks are visible on the same board used by the team.
Does NOAN support individual users and teams?
NOAN offers a free plan with one project and limited facts and contacts, plus paid Starter, Team, and Enterprise plans. Team features such as shared workspace facts, roles, and the Verity Slack app are available on the Team plan and above; Enterprise is handled through sales.
Quick Facts
- Category
- AI infrastructure and business operations
- Core platform
- Headless REST API with MCP access
- Primary users
- Founders, operators, teams, agencies, and agent builders
- Main workflow
- Verified facts → tagged tasks → specialist agents → recorded results
- Team surface
- Verity is available in Slack on Team plans and above
- Starting option
- Free plan with one project and limited facts and contacts
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