Data
Documents, systems, emails, research, interviews, decisions, conversations and external sources.
Specialist knowledge for everyone who needs it
Esoteric knowledgeshould not stay esoteric.Make expertise available in context.
What only a few people know.
Available to everyone who needs it.
Interrogate turns scattered information, specialist experience and organisational judgement into governed, traceable knowledge that people and AI can use at the point of need.
Interrogate is the structured knowledge solution behind Esoterica.
The same essential model
From data, to knowledge,
to insight.
Your organisation already has the raw material. Interrogate helps specialists interpret it, challenge it and turn it into knowledge that can be securely shared and applied in the right context.
Knowledge
Information interpreted, challenged and validated through human expertise, with AI able to assist within the governed process.
Context
The project, chapter, question, transaction, customer, jurisdiction or circumstances that make the situation specific.
Insight
Established knowledge applied in context, with its sources, reasoning and evidence still available.
It is not just information.
It is understanding that can be used.
How companies manage data for AI today
Most organisations have built the library.
Few have built the doctor.
Companies have invested in operational systems, data platforms, document repositories, enterprise search and AI assistants. These layers are valuable, but they do not automatically establish which interpretation is current, why it is trusted, who owns it or where it applies.
Explore the enterprise knowledge layers →PEOPLE, WORKFLOWS AND AI
Apply the right knowledge at the point of need
THE MISSING KNOWLEDGE LAYER
Interpretation, ownership, authority, context and review
RETRIEVAL AND AI
Search, RAG, copilots, models and automation
THE LIBRARY
SharePoint, drives, email, intranets and document stores
DATA AND SYSTEMS
ERP, CRM, case, project, research and operational platforms
Interrogate sits where the gap is. It helps specialists turn source material into governed knowledge that remains connected to its evidence and can be applied in context.
The AI knowledge problem
Too much AI is being built on the old library.
AI does not fix fragmented, duplicated or obsolete information. When the foundation is an uncontrolled library of files, every answer can require large amounts of irrelevant material, consume more tokens and still miss the knowledge that matters.
Old and conflicting material
Drafts, duplicates, superseded positions and current evidence often sit together without a clear organisational answer.
Knowledge scattered everywhere
Important information is split across documents, systems, email, meetings and the experience of a small number of people.
Expensive context
Passing whole libraries to AI repeatedly can increase token usage while obscuring the small amount of relevant, validated knowledge.
Expertise trapped in people
The most valuable interpretation may be known by specialists but unavailable to colleagues when a decision must be made.
Answers without authority
A confident response is not enough. People need to know what is current, who owns it and what evidence supports it.
AI amplifies the foundation
If the knowledge layer is weak, AI can retrieve and repeat its weaknesses more quickly and at greater scale.
The library and the expert
A library contains information.
An expert knows what it means.
▤
The library holds the raw material.
It may contain valuable evidence, old versions, conflicting advice and material that nobody has reviewed for years.
✚
The doctor does not prescribe the library.
A medical library can inform a diagnosis, but a doctor applies expertise, judgement and the circumstances of a particular patient.
◉
The specialist creates knowledge.
Understanding comes from interpretation, experience, challenge and judgement, not merely locating another document.
✦
Interrogate makes it available.
Specialist knowledge becomes a governed organisational asset that people and AI can find, understand and apply in context.
The corporate equivalent
See the complete analogy →Your document library is the medical library. Search and RAG are the catalogue and research assistant. Interrogate captures the specialist interpretation, governed position and context that allow the knowledge to be used responsibly.
Use cases
Different work.
The same knowledge problem.
Wherever evidence, interpretation, context and accountability must remain connected, the Interrogate approach can provide a structured foundation.
01
Authors and publishers
Connect sources, interviews, arguments, chapter decisions and fact-checking without losing the thinking behind the manuscript.
Explore the author journey → 02Consultancy and advisory
Turn discovery, evidence, specialist judgement and recommendations into a reusable client knowledge asset.
Explore consultancy → 03Legal practice
Connect authorities, evidence, arguments, matters, review decisions and changing legal positions.
Explore legal practice → 04Students and researchers
Turn reading, lectures, sources and questions into an evidence-led body of knowledge.
Explore learning and research → 05Project teams
Keep requirements, decisions, questions, risks, issues and supporting evidence connected to delivery.
Explore project work → 06Knowledge-base teams
Build a governed, reusable knowledge layer for people, processes and AI-assisted work.
Explore knowledge-base creation →Illustrative case studies
See the platform used from first question to governed outcome.
Follow practical scenarios for an author, consultancy team, legal practice, student, project team and enterprise knowledge programme.
Current by design, not by assumption
Knowledge must keep changing when the world changes.
Interrogate supports a continuous knowledge lifecycle. Knowledge can carry its sources, ownership, status and review expectations, so specialists can challenge and update it when evidence or circumstances change. AI can assist throughout, while human authority remains where judgement, approval and accountability matter.
DISCOVER→INTERPRET→CHALLENGE→APPROVE→USE→MONITOR→EVOLVE
AI can assist at every stage. Human authority remains where it matters.
A knowledge layer for people and AI
Do not feed AI the whole library.
Give it the knowledge that matters.
Source material remains available for provenance and evidence. Interrogate provides a smaller, governed layer above it, designed to distinguish source, interpretation, organisational position, ownership, access and supporting evidence. This can reduce irrelevant context and make AI-assisted answers easier to inspect and trust.
Interrogate by Innovate Tax
Make specialist knowledge available to everyone who needs it.
Tell us where essential knowledge is currently trapped, fragmented or difficult to apply.