Inferrex

/ technology comprehension infrastructure

Understand your technology.Then make it work.

Inferrex builds a shared understanding of systems, APIs, data and the relationships between them. Integration, automation, intelligence, governance, migration and AI are applications of that understanding, not separate products.

234,373
Vendors catalogued
7,194,438
Fields comprehended
1,733
Canonical keys
app.inferrex.com/sync/health

Self-healing

Stripe API

Customer · monitored for change

Healthy
  1. Stable
  2. Change detected
  3. Re-inferred
  4. Remapped
datetime
Createdcreated

time · created at

97%

Mapping healthy, data flowing.

/ the problem

Technology can be connected without being understood.

Most estates are understood through documentation, point-to-point integrations, tribal knowledge, spreadsheets, manual mapping, repeated discovery and fragmented tooling. Each of those is a way of describing a system to a human being. None of them is a way of making a system legible to software.

So organisations connect systems without ever building a durable understanding of what those systems mean. The connection works until the provider changes. The understanding was never written down anywhere a machine could read it, so it is rebuilt, by hand, every time.

/ the model

Systems, comprehended once, and every outcome read off the result.

A system arrives as a specification, a schema or an endpoint. Inferrex resolves its structure, infers what each element means, expresses that meaning against a canonical model, then relates it to every other system already comprehended.

RAW SYSTEM → STRUCTURE → MEANING → CANONICAL MODEL → RELATIONSHIPS → OUTCOMES

Deterministic inference does the work wherever the answer is determinable; AI is reserved for the residual uncertainty where it is actually needed. The result is not a description of a system. It is a model of one, and the outcomes below are read off it.

/ evidence

Built, not promised.

Every figure below is defined, dated, sourced and evidenced on the claims page.

1,941
Vendor–product APIs specced

As at 4 September 2026

25,359
API specs ingested

As at 4 September 2026

7,194,438
Fields comprehended

As at 4 September 2026

1,733
Canonical keys

As at 4 September 2026

21.1 million
Integration pairs

As at 4 September 2026

38
Schema formats parsed

As at 7 September 2026

What the numbers mean.

Precision matters more than scale, so the terms are defined.

A figure is only evidence if you know what it counts. Two of these are routinely confused, and the confusion inflates the impressive one: a vendor is an organisation, and a vendor–product API is one product from one vendor. Counting the second and calling it the first is how a corpus appears several times larger than it is.

Comparison
TermDefinition
VendorAn organisation that publishes one or more APIs.
Vendor cataloguedA vendor indexed in the catalogue. Catalogued is not specced — a catalogued vendor may have had none of its APIs read.
Vendor–product API speccedOne vendor×product grain: a distinct product from a distinct vendor, read to full specification. Not a count of organisations.
SystemA distinct product or service exposing an interface.
API specA machine-readable description of an interface, in any of the schema formats Inferrex parses.
FieldA single named element within a schema, read and recorded.
Canonical keyA concept in the shared model that fields from different systems resolve to.
Integration pairTwo systems whose fields have been related through the canonical layer. Derived, not hand-built.

Every figure on this site carries a definition, a measurement date, a method and a review date. Read the claims.

/ where to start

Start against a system you already run.

Comprehension is only interesting against an estate that exists. The Development environment is free, self-directed and documentation-led: no scoping call, no procurement step and no commercial conversation first. Point it at a real API and ask it a question you cannot answer today.

Your technology already contains the answers.

The difficulty is the relationships between systems, and that is a comprehension problem before it is an integration one.