Plausible is not true
Language models are optimised for fluency. They state falsehoods with the same confidence as facts.
Axiomatic Enterprise Inference
Intelligence that answers for itself.
We build grounding engines—AI that cites its sources, verifies before it speaks and signs a receipt for every answer.
One engine · Three products · UK patent application filed
Answer of record / 0047
Claim verified against the institution's governed corpus.
SourcePolicy_2026.pdf · p.18
VerdictGrounded · signed
If an answer cannot be grounded in the corpus, it does not ship.
3
Products on one grounded core
5
Layers in the axiomatic stack
1
Signed answer of record
The problem
Fluent is not the same as accountable.
Universities, L&D teams and regulated enterprises all hit the same wall: not whether the model can answer, but whether anyone can stand behind the answer afterwards.
Citations that don't exist
Asked for sources, an ungrounded model can invent authors, titles and page numbers.
The corpus talks back
Text inside retrieved documents can steer the model through prompt injection.
No record of the answer
The moment an answer is given, it is gone—leaving nothing to audit or reproduce.
Sign-off stalls
Procurement, compliance and academic boards cannot approve output nobody can verify.
Adoption dies in pilot
The deployment never leaves the sandbox, and its value never reaches the institution.
Why the engine is different
AI that knows when not to answer.Fail-closed verification before release.
It answers only from material your organisation approved. If the evidence does not hold up, it tells you instead of guessing.Retrieval is restricted to a governed corpus. Each claim must pass evidence verification before release or the engine fails closed.
It reads what you approved.Governed retrieval.
Your policies, files and teaching material—not the open internet.Vector search and graph traversal stay inside a tenant-isolated approved corpus.
Every answer leaves a receipt.Canonical Answer-of-Record.
You can show what was said, which evidence supported it and whether anything changed later.Answers, evidence and verdicts are canonically serialised, chained in order and covered by signed heads.
Your auditor need not trust us.Standalone offline verification.
A separate tool can check the exported record without relying on the system that created it.An independent verifier reimplements the record format and validates sealed evidence bundles offline.
The homepage carries the consequence. The technical page carries the mechanism, layer by layer.
See how the engine worksThe products
Three contexts. One standard of proof.
Three complete platforms share the same grounding core: learning management for creators and institutions, and enterprise knowledge management. Product demonstrations are available.
ANNIE
For creators
Axiomatic Neural Network Intelligence Engine
Axiomatic Neural Network Intelligence Engine. A complete learning management system for the creator economy. Build courses, sell them, teach cohorts and grow the business—with a grounded tutor woven through the platform.
↗AVIE
For academia & L&D
Axiomatic Vector Intelligence Engine
Axiomatic Vector Intelligence Engine. A complete multi-tenant LMS for academic institutions and corporate L&D: programmes, assessment, cohorts, reporting and governance—with accountable AI throughout.
↗AORIE
For enterprise
Answer of Record Inference Engine
Answer of Record Inference Engine. Enterprise knowledge management end to end: ingest, curate, search, ask and analyse the corporate corpus—then prove every answer afterwards.
↗Operating principles
The system knows when to stay silent.
Accountability is not a disclaimer added to the output. It is engineered into the path every answer takes.
PRINCIPLE / 01
Fail closed by default.
An answer that cannot be traced to the governed corpus is not softened or hedged—it is not given.
PRINCIPLE / 02
Leave a receipt.
Every response is stored with its evidence and verdict so “who said what, based on what” always has a checkable answer.
The company
A lab, in the literal sense.
AEI Labs Limited—Axiomatic Enterprise Inference Labs—is a United Kingdom company founded in 2026. We research, build and operate grounding engines: the verification layer that makes generative AI deployable where answers carry consequences.
In practiceEvery product uses the same engine. When the engine improves, each product receives the same tested protection rather than its own slightly different version.How it worksThe engine is developed as a single owned artefact with its own continuous test gate, versioned under semantic versioning, and consumed by every product at an exact pinned version. Discipline in how the software is made is part of the product.
CompanyAEI Labs Limited
RegisteredUnited Kingdom · 2026
ProductsANNIE · AVIE · AORIE
ProtectionUK patent application filed
Talk to the lab
Build trust into every answer.
Book a product demonstration or tell us what you need to make accountable: a course, a learning environment or an enterprise knowledge base.