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SOLUTIONS · KNOWLEDGE MANAGEMENT SYSTEM

Your knowledge, answering.

Structure everything your company knows, so every answer draws on it. In seconds, accurately, with sources.

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Structured once, answering everywhere.

One KMS for your website, assistants, applications, agents, and the engines your customers ask.

answering … · source attached

Deploymentself-hosted or dedicated
Modelscloud or local
Storesvector, graph, structured
Interfaceone API, sources attached
Rulessource, precedence, access, delivery
Validationseventeen layers

Build on one KMS.

Structured

Manuals, data sheets, contracts, and media become one machine-readable order, every claim with its source.

Ingestion · all formats

product-manual-v4.pdfstructured
datasheet-2026.xlsxstructured
supply-contract.docxrunning…
brand-media/*queued

Grounded

Every answer arrives with its citation chain. Where evidence is attached, the answer stands on it.

Answers · with sources

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Served

One KMS, every surface. Website, assistants, applications, agents, and the engines your customers ask.

Distribution · all surfaces

KMS
websiteassistantsapplicationsagentspublic engines
live · across 5 surfaces

Delivered

Answers in seconds, and a human exactly where one belongs.


Outcomes · per query

Standard queryresolved · 1.2s
Sourced answerresolved · cited
Edge caseto a human

What one KMS returns.

Speed

Every answer arrives in seconds, and the work carries on.

Accuracy

Every answer carries its sources, and every claim traces back to the right document.

Scale

Structure the knowledge once, and every channel serves from it.

Control

Access follows your own permissions, and each person sees only what is theirs.

The engines your customers ask have already begun to answer for them. The question is who authors those answers.

What does AI already say about your brand?

Every day, the engines answer questions about your brand, products, and services with whatever they can find, and what they say mirrors what your knowledge lets them read. The analysis reads them and maps the gap on the Kenza AI platform: your AI classified across six types and six autonomy levels, validated against seventeen layers, matched to industry-validated use cases. Grounded in peer-reviewed science. From there, we build.

READ FROM THE ENGINES

ChatGPTcited
Perplexitycited
Geminipartial
Copilotuncited
live · on-brand data

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Ask your first question.

A knowledge management system (KMS) is one structured source for everything your company knows. Product data, data sheets, specifications, manuals, contracts, and media become a single machine-readable order. Your website, assistants, applications, agents, and the engines your customers ask all answer from it, each answer carrying its source.

Every knowledge management system (KMS) answer arrives with its citation chain, traced to the document and section behind it. Answers stand on evidence you can see, and where there is no source, there is no answer.

Yes. A knowledge management system (KMS) connects to your DMS, ERP, PIM, and CMS, and serves one API across your website, assistants, applications, and agents. Where two sources disagree, precedence is set by you, so the answer is the one you would have given.

A knowledge management system (KMS) holds your knowledge in your own environment, with rules for source, precedence, access, and delivery. Every deployment is mapped against the regulation that applies, such as the EU AI Act and GDPR, at article level, with the applicable standards named alongside.

Access follows your own permissions, so a person sees through the knowledge management system (KMS) exactly what they are entitled to see in the source system. Retention and deletion rules are yours to set, and every answer records what it drew on and when.

A knowledge management system (KMS) is scoped to the knowledge in view: how many sources, how they are held today, and how many surfaces answer from them. Every engagement begins with the analysis, which reads what your knowledge lets an engine say and scopes the work from there.