Independent business context for AI

Early access · In development

One clear source of truth.
For the AI tools you choose.

Bring scattered documents, definitions and team knowledge into approved context you control.

Start with what your team knows.For Data & AI teams. With business owners.

Build → Govern → Serve → Improve

Scattered knowledge.
Shared understanding.

Context Foundation / Customer lifecycle
Illustrative example

CUSTOMER LIFECYCLE

customer.active

Two meanings.
No shared reference.

AI drafts. Owners decide.

01 / GATHER

The knowledge is there.
Make it explicit.

Needs owner review
Product team

“Active” means usage.

Rolling 30 days. Qualifying events still need an owner decision.

Finance notes

“Active” means a payment.

Calendar month. A different business purpose.

Capture what is known. Ask what is missing.

Synthetic scenario · Not a live product.Build → Govern → Serve → Improve

Why Semanity

Your knowledge.
On your terms.

01

Clarity.

Make unwritten definitions, rules and exceptions explicit.

02

Control.

Know the source, owner and approved version.

03

Freedom.

Reuse context beyond one BI or AI application.

Independent by design

Your context.
Your choice of tools.

Keep your systems. Own the approved meaning between them.

YOUR KNOWLEDGE

Documents & notesPeople & decisionsExisting models

Semanity

Context you own.Sources · Owners · Versions

YOUR CHOICE

AI assistantsAgentsInternal services
Conceptual flow. Exports and API/MCP delivery are in development; consumer support requires validation.

A few straight answers

Clarity
before complexity.

Can we start from scratch?

Yes. Start with authorized documents and conversations with domain owners. A formal semantic layer is not required. Missing facts stay questions until an owner resolves them.

What does “one source of truth” mean?

One governed reference, with sources, owners and versions. Different teams can keep valid scoped definitions. Your source systems stay where they are.

How is this different from a BI semantic layer?

BI platforms already offer governance and external AI interfaces. Semanity’s intended focus is creating and owning business context independently, then reusing it across tools. A pilot tests whether that adds value.

Will it work with every AI tool?

That is a direction, not a current support claim. Portable exports and API/MCP access are planned; compatibility and permissions must be tested per consumer.

Does context update itself?

The intended workflow detects changes and proposes updates. Owners approve business decisions; publication and use by each consumer are checked separately.

What is available today?

A founder-led early-access initiative seeking context-building pilot partners. Features and integrations are in development. The example on this page is illustrative, not a live application.

Start with one real task

Build your first
context foundation.

One domain. An accountable owner. A focused pilot.

Discuss a pilot

No existing semantic layer required.
No sensitive data in the public enquiry.