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Topic · About AXIGNAL

What AXIGNAL does: business intelligence from public evidence

AXIGNAL is a business and economic intelligence service. It observes the organizations you choose from the outside, in public sources, and keeps what it finds in time, so you can understand them and see what changes.

In brief

In short: you add an organization, and AXIGNAL keeps observing it. It reads its own website, official registers, public procurement, press, regulation, job boards and how search and AI assistants represent it. Every finding carries its source, its date and its state: observed, declared by the organization itself, potential or still unknown. The reading is organized in ten families and is kept over time, so changes appear with a date.

Ten families, one organization

AXIGNAL organizes what it observes about an organization into ten families: presence (website, search and AI visibility), reputation (press and public attention), value (what it offers and its credentials), markets (where it operates or hires), relationships (clients, partners, suppliers and competitors shown in public evidence), demand (public calls that match what it does), activity (hiring, publications, changes), economics (official figures when available), organization (identity and group) and context (sector news and regulation). Each family says how much could be observed, from strong to unknown, without turning it into a single score.

Evidence before conclusions

AXIGNAL separates what it saw from what it infers. A public contract award is observed; a matching public call is a potential opportunity, not a customer; a claim on the organization's own website is declared, not independently confirmed. When something cannot be established, AXIGNAL says it is unknown, and unknown never means false. Crossings between families are explained rules that point back to the findings that support them.

Change over time

An observation repeated by the same instrument can be compared. AXIGNAL keeps a history per family, so it can tell what appeared, what disappeared and what moved, and when. That memory is what makes evolution or regression visible, and it grows the longer an organization is observed.

For people and for their AI assistants

You read AXIGNAL in its observatory, and your own AI assistant can read the same organizations through AXIGNAL's read-only MCP connection, limited to your account's data. AXIGNAL does not write anything about the organizations it observes, does not sell positions and is not configured by them.

Conceptual example

A consultancy adds a client, two competitors and a supplier. A week later it sees that one competitor opened positions in Germany, that the client's website lost its structured data and that a new regulation touches their sector, each with its source and date.

Scope and limits

AXIGNAL observes public sources it may read; it does not see the whole Internet, private information or intentions. Low observability does not mean a weak organization, and a potential opportunity is never a guaranteed customer.

Editorial basis

This page explains product doctrine and boundaries. It does not demonstrate source coverage or observed outcomes.

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Use cases

Observe an organization from the outside, with context

Knowledge

Observed and potential relationships: what evidence establishes

Use cases

Persistent observation or a one-off search: what changes

Knowledge

MCP and context: connecting tools does not create reliable memory