CHATGPT
Company knowledge and connected applications can be the shortest path when the relevant sources, permissions and governance are already supported natively.
CHATGPT + COMPANY DATA
How can ChatGPT use company data without moving it all?
Axiomyx can add a governed evidence layer above selected company systems so AI receives source-linked context without a wholesale data migration first.
SHORT ANSWER
Axiomyx is designed to work above the data estate a company already has. Selected data is mapped into a canonical evidence contract, indexed and linked to provenance while the original systems remain authoritative. The organisation can then supply authorised, compact context to its chosen AI workflow without first consolidating every source into a new enterprise platform.
This is an architecture and governance question, not a promise of automatic connectivity. Databases, APIs, document platforms, logs and internal systems can participate when a supported connector, parser or approved adapter maps the selected content and metadata consistently.
HOW IT WORKS
Keep the evidence durable. Keep each AI request focused.
Axiomyx separates the persistent evidence collection from the finite context used for one response.
- 01
Define the authority boundary
Identify the systems of record, permitted fields, users, purposes and retention controls.
- 02
Map selected evidence
Translate approved data into the canonical input contract without replacing the source system.
- 03
Index identity and relationships
Create deterministic addresses and relationships that survive changes in model or prompt wording.
- 04
Govern AI retrieval
Return only authorised evidence with provenance and retain workflow controls around consequential actions.
WHERE AXIOMYX FITS
Use ChatGPT's native capabilities where they fit. Add Axiomyx for a reusable evidence layer.
The products can complement each other. The useful question is which boundary, source controls and verification path your work requires.
AXIOMYX
Axiomyx is intended for organisations that need a customer-controlled evidence plane across selected sources and approved adapters, independent of one model vendor.
TOGETHER
Use the native route where it is sufficient; add Axiomyx where canonical identity, cross-system provenance or deployment control must span a broader estate.
DATA BOUNDARY
Know what stays under your control—and what can leave it.
- Business and Enterprise data remain in customer-controlled storage and deployment environments.
- The organisation retains its existing source-system, identity, network and access controls.
- Axiomyx stores derived canonical objects, indexes, signatures and provenance, not a replacement operational system of record.
- External AI processing is governed by the organisation's selected provider, contract and workspace controls.
LIMITATIONS
What this does not promise.
- Axiomyx does not claim one-click integration with every company system or format.
- A stable mapping, deployment review and access-control design are required before a source participates.
- Enterprise scope, support and commercial terms are negotiated for the approved evaluation and deployment.
SEE IT IN PRACTICE
Follow the work, then inspect the architecture.
RELATED QUESTIONS
Continue from the problem you are solving.
How can ChatGPT search files for a small business?
Axiomyx Business creates a customer-controlled evidence layer across selected business sources while original systems remain authoritative.
Read the guideHow can I verify where ChatGPT's answer came from?
Axiomyx preserves source identity, version and provenance so retrieved evidence can be checked against the original files or systems.
Read the guideHow can ChatGPT answer with evidence from my files?
Axiomyx retrieves relevant passages with source identity and provenance so a ChatGPT answer can be checked against the files you selected.
Read the guideNEXT STEP
Start with the boundary you control.
Personal is free for up to 500 MB of active evidence. Business and Enterprise are separate products with customer-controlled deployment boundaries.
Discuss an Enterprise evaluation