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✨ Document Knowledge Platform

Your AI agents hallucinate. It’s not their fault — it’s your document estate that’s misleading them.

When your teams or AI agents look for an answer, they hit outdated procedures, contradictory memos, duplicates. K-AI cleans your document base so everyone — humans and AI — always gets the right answer, sourced and up to date.

Get a demo →Read the diagnosis
Built with Veolia · PwC · TotalEnergies
In 30 seconds

A real situation. The right answer.

Here’s what happens, right now in your teams, when someone looks up information.

The question

Floor operator · 4:47pm

“How fast must I intervene if a pressure sensor fails?”

→
● Without K-AIAI copilot answer

“You have 4 hours to intervene.”

The AI quoted the 2019 procedure forgotten in SharePoint. The 2024 memo requiring 30 min was never seen. No one knows the two contradict each other.

Operational risk · regulatory risk · loss of trust in AI

● With K-AIAI copilot answer

“Intervention within 30 minutes — memo DS-2024-014.”

K-AI detected the conflict upstream, flagged the 2019 procedure as obsolete, and exposes only the up-to-date source. The AI cites the right answer, with proof.

Reliable answer · traceable · AI Act-ready

See how it works →
80-90%
of enterprise data is unstructured.
RTInsights, 2026
7%
of organizations call their data “fully AI-ready”.
Cloudera & Harvard Business Review Analytic Services, March 2026
60%
of AI projects will be abandoned by end of 2026, due to data quality.
Gartner, 2026
Aug 2026
EU AI Act enforcement begins for high-risk systems.
EU AI Act
The diagnosis

For ten years, structured data got governed. Documents stayed in the wilderness.

Data Catalog, Data Mesh, Data Quality, Data Lineage — a CDO today has a common vocabulary, a reference architecture, a tooled market.

Meanwhile, documents — 80–90% of an enterprise’s informational estate — piled up with no clear owner, no quality contract, no observability, no lifecycle.

When humans read them, it was tolerable: an experienced employee knew which file was reliable.

While your CDO peers cleaned the data, your document estate — 80–90% of the informational volume — stayed in the wild. Agentic AI just made that debt collectible.
The tipping point

An agent does not know how to ignore an obsolete document.

An AI agent answers, confidently, from what you give it. If the base contains a 2019 procedure tacitly replaced by a 2024 memo, it faithfully returns the chaos you handed it.

Competitive AI advantage no longer hinges on model choice — models converge. It hinges on the quality, governance and observability of the knowledge base those models can legitimately consume.

Garbage in, garbage out. The most brilliant platform faithfully returns the debt you give it.
The landscape

No existing tool covers the full cycle.

Four categories solve pieces of the problem. None covers the whole. That’s the empty zone the Document Knowledge Platform occupies.

AI Workplace Assistants
Glean, Copilot, Notion AI
  • ●Semantic search on existing base
  • ●Consumer-side assistance
  • ○Doesn’t clean the source. Answers from what is, not what should be.
ECM / DMS
SharePoint, Box, M-Files
  • ●Storage, ACL, workflows
  • ●Versioning, retention
  • ○Ignores the semantic dimension. Doesn’t know two documents contradict.
Data Catalogs
Collibra, Atlan, Alation
  • ●Full structured-data governance
  • ●Lineage, ownership, metadata
  • ○Built for structured data. Unstructured extension underway — no active cleaning.
Document Knowledge PlatformK-AI — new

The missing layer. Document-native, full cycle, built for AI agents.

  • Govern
  • Clean
  • Activate
The category

A new platform category: the Document Knowledge Platform.

The layer between your sources (SharePoint, Confluence, ECM) and your consumers (teams, AI agents). Govern, clean, expose. Three verbs, one discipline.

01 / 03
Govern

Inventory the estate as business products, with owner, quality, lifecycle, traceability.

02 / 03
Clean

Continuously detect contradictions, duplicates, obsolescence, missing subjects. Arbitrate with experts.

03 / 03
Activate

Expose the cleaned base to humans (search) and to AI agents (MCP), with ACLs preserved and lineage tracked.

See the architecture →
K-AI in action

The DKP, in practice.

K-AI implements the DKP across three surfaces — Audit, Platform, MCP — that operate the five layers.

kai://kai-platform/audit/refsi-hse-europe
● live
Primary users•
Document StewardDocument Owner
OPEN SIGNALS · 4

Intervention delay on sensor alert

Subject: HSE intervention procedure on industrial site · detected by the Neural Semantic Graph

● CONFLICT
Group SharePoint · SOP-HSE-2019.pdfHSE Policy — v2019
On sensor alert, intervene within 4 hours by the on-call team.
Created 06.21.2019 · 12 views · Consumed by 3 agents
Confluence · Site memo DS-2024-014Site memo — Operations
Intervention within 30 minutes mandatory for any critical alert.
Created 03.14.2024 · 47 views · Producer: J. Martín
The roadmap

A platform evolving with its pilot customers.

Three milestones co-built with PwC, Wavestone, Devoteam and our reference customers.

Milestone 01 · available

Roll out across the enterprise

  • Plug in all your document spaces (SharePoint, Confluence, Drive, Notion…)
  • Quality dashboards for each business direction
  • Trace every AI answer — required by the EU AI Act
Milestone 02 · 2026

Keep quality up without effort

  • K-AI suggests fixes, your experts approve
  • Continuous surveillance, automatic alerts to owners
  • Share your base with subsidiaries, partners, contractors
Milestone 03 · 2026-2027

A clearer base, an open ecosystem

  • On every new scope, K-AI guides your business and data teams step by step — at their own pace, without breaking what already works
  • Partner AI agent ecosystem (contract review, compliance audits…) plugged into your cleaned base via MCP
Built with the category’s pioneers
VeoliaPwCTotalEnergiesZeboxWavestoneDevoteam

We discovered 32% of our base was divergent duplicates. K-AI surfaced them in two weeks, we resolved in six.

VL
V. L.
CDO, CAC 40 industrial group

Our AI agents finally stopped citing 2019 procedures. The Neural Semantic Graph does what no RAG does: prove a document is obsolete.

JNG
J-N. G.
Chief Knowledge Officer, European bank

Names anonymized at client request. For sourced references, ask during a demo.
News & press

What’s happening at K-AI

Events, partnerships, talks — K-AI in the French and European AI ecosystem.

You think your RAG hallucinates because of the embedding model? Look at your corpus.
PressMay 2026

You think your RAG hallucinates because of the embedding model? Look at your corpus.

Pinecone has just admitted the model is no longer the bottleneck in enterprise RAG. Three numbers point to a different culprit: corpus rot.

AWS Summit Paris 2026
EventApril 2026

AWS Summit Paris 2026

On the occasion of AWS Summit 2026, we were present to showcase how K-AI, our ready-to-deploy artificial intelligence solution, enables organizations to unlock…

DIMS 2026
EventMarch 2026

DIMS 2026

On the occasion of DIMS 2026, we were present to explore and discuss K-AI, our ready-to-deploy artificial intelligence solution, which enables organizations to…

All news →Follow K-AI on LinkedIn →

Let’s look at your document estate together.

30 minutes with a founder. We audit a sample of your documents for free and show you exactly what K-AI detects. You walk away with a snapshot — whether we work together or not.

Get a demo →See the architecture