Point Knowledge at your team’s documents, meeting notes, decisions, contracts and chats. The pile becomes one searchable memory — ask any question in plain English; your AI finds the few things that matter and answers, with sources. Run it on our European cloud or self-hosted inside your own network — nothing has to leave the building.
// the system remembers — so your people don’t have to.
what your AI gets in return
Finds related ideas
even in different words
Connects the dots
people, projects, decisions
Groups by theme
no manual tagging
Knows when
every entry is dated
// every question uses all four — that’s how it finds the right answer, fast.
what your AI gets in return
Finds related ideas
even in different words
Connects the dots
people, projects, decisions
Groups by theme
no manual tagging
Knows when
every entry is dated
// every question uses all four — that’s how it finds the right answer, fast.
01what you can dump in
If your team writes it down, your AI can find it.
Knowledge reads the formats you already have, organising, linking and dating everything into one searchable memory — no manual taxonomy, no migration project, no “tag everything first” theatre.
// documents and transcripts on day one; the rest plugged in as you need them.
stored as
one searchable memory
every doc · every link · every date
served to
every AI in your stack
chat, copilots, internal apps, agents
// formats we already speak
- PDFs· reports, white-papers, briefs
- Word & Pages· memos, drafts, briefings
- Slide decks· PowerPoint, Keynote, Google Slides
- Spreadsheets· Excel, Google Sheets, CSVs
- Meeting transcripts· from Arkintel Transcribe
- Extracted data· from Arkintel Extract
- Wiki & notes· Notion, Confluence, Markdown
- Email threads· Outlook, Gmail, M365
- PDFs· reports, white-papers, briefs
- Word & Pages· memos, drafts, briefings
- Slide decks· PowerPoint, Keynote, Google Slides
- Spreadsheets· Excel, Google Sheets, CSVs
- Meeting transcripts· from Arkintel Transcribe
- Extracted data· from Arkintel Extract
- Wiki & notes· Notion, Confluence, Markdown
- Email threads· Outlook, Gmail, M365
- Chat history· Slack, Teams, Mattermost
- Tickets· Jira, Linear, ServiceNow
- Code repos· GitHub, GitLab, Bitbucket
- Contracts· vendor, NDA, employment
- Drives· SharePoint, Drive, Dropbox
- Audio / video· auto-transcribed first
- Images· scans, screenshots, diagrams
- CRM records· accounts, notes, activities
- Chat history· Slack, Teams, Mattermost
- Tickets· Jira, Linear, ServiceNow
- Code repos· GitHub, GitLab, Bitbucket
- Contracts· vendor, NDA, employment
- Drives· SharePoint, Drive, Dropbox
- Audio / video· auto-transcribed first
- Images· scans, screenshots, diagrams
- CRM records· accounts, notes, activities
02how the memory works
From a pile of documents, to answers your AI can give.
Six steps — read, understand, group, connect, date, answer. Each one happens automatically. None of them ask your team to tag anything, fill a taxonomy form, or classify a single document. The memory organises itself.
// no manual taxonomy. no “knowledge management” project. just a memory that gets richer as the archive grows.
read in
intakeany format, no migration project — reads what your team already writes
understand
brainevery paragraph becomes searchable — multilingual, multimodal
group
brainthemes emerge on their own — no taxonomy, no manual tagging
connect
brainpeople, projects, decisions and dates all wired together
date
brainevery entry dated — so you can ask “what did we know in 2022”
answer
recalla focused answer with citations — not a wall of text
- intake
- brain
- recall
03what it’s for
Less time looking. More time deciding.
Onboarding, decisions, context-loss when senior people leave — the most expensive operational problems your team has are all variants of the same problem: institutional memory locked in heads, drives and Slack history nobody has the patience to dig through.
// this is the boring, expensive work. let the memory take it off your hands.
onboarding
New hires productive on day one
A fresh hire's first question is never “what’s our strategy”, it’s “who owns this and why did we do it that way”. The memory answers from the archive in seconds, with sources. Your senior staff stop being a help desk.
before
6–9 months to ramp
after
productive in week one
continuity
When senior staff leave, the memory stays
Twenty years of “why did we go with ACME”, “why did we say no to Z”, “what did the council promise the residents” — captured in the memory the day it’s written, not the day someone retires.
before
tribal knowledge walks out
after
every rationale stays inside
audit
Decisions you can actually defend
Every answer comes with the source, the date and the topic it came from. Security leaders, regulators and incoming councils get a paper trail by default — not a screenshot of a Slack thread.
before
“I think we decided that in 2022”
after
cited, timestamped, signed off
AI fuel
Every AI in your stack gets smarter
Privacy Gate, Transcribe, Extract, your own copilots and agents — they all read from the same memory. You curate context once; every model in the building sees the better version.
before
each app re-indexes its own slice
after
one memory, every AI
04audit-ready
Your archive, your jurisdiction. Audit-ready by default.
Knowledge is itself sensitive infrastructure — it knows everything your organisation has ever written down. The indexes, the links and the timeline live where you can audit them: row-level access tied to your existing IdP groups, every retrieval logged with who asked and what came back, right-to-be-forgotten honoured at the embedding level.
// where the archive sits is the next section — your infra or our European cloud.
05how it works
Point it at the archive. Get a memory back.
Knowledge has one job: take what your team has already written down and make it useful to the people — and the AI — working today. It meets your archive where it is, organises it without a migration project, and wires the memory into the apps you already use — on our EU cloud or inside your own network.
// what we don’t ask of you
- tag every document by hand
- agree on a taxonomy first
- retire your wiki before we start
- rewrite every app around a new SDK
- trust a black box with your archive
// one memory, every app, zero migration weekend.
// one memory, every app, zero migration weekend
managed · or your own servers- 01
Connect your archive
Point us at your drives, wikis, transcripts, repos and inboxes. We add connectors for whatever’s missing. No mass-tagging, no migration freeze, no “classify everything first” week.
- 02
The memory builds itself
Every entry is read, organised, grouped, linked and dated automatically. Themes emerge as the archive grows; the structure reorganises itself when you add new ground.
- 03
Every app gets context
Plug Knowledge into your chat, copilots, agents and internal tools — or use ours. Each app gets a curated context bundle for every query, with citations, in milliseconds.
Building on top of Knowledge?
Want programmatic access? We provision an API for you, scoped to your deployment — same memory, same retrieval, same citations.
06where it runs · sovereign by design
Your hardware,
or our European cloud.
Two places, same software. European jurisdiction, open-weight models, default-deny egress at the network — either way.
Self-hosted. Inside your perimeter.
Deploy the full stack inside your own data centre, your private cloud account, or an air-gapped rack. We install it, you run it — with our team on the other end of a support channel. Default-deny egress at the network layer, not the application. Air-gap optional, with signed offline update bundles when you choose it.
- On-prem, private cloud, or air-gapped
- Default-deny egress · enforced at network layer
- Open weights — yours to keep
Arkintel-managed. EU-resident. Operated by us.
Deployed on Hetzner’s EU regions — Falkenstein, Helsinki, Nuremberg — a German-headquartered provider, operated end-to-end by Arkintel as a Dutch entity. Outside the reach of the US CLOUD Act and any foreign subpoena. Dedicated tenancy, EU-only egress, same APIs and audit story as the self-hosted path.
- EU jurisdiction · no US exposure
- Hetzner EU regions · operated by Arkintel
- Dedicated tenancy · EU-only egress
Want the best frontier models too?Add Privacy Gate to your self-hosted stack
Need the deployment story in detail?Read the self-hosted deep-dive
03the app suite
Production AI apps,
live today.
Five live products — secure, team-ready, and fully traceable. We can host them for you or you can self-host. Select an app below to see how it works.
Chat
Private chat. Configured exactly to your liking.
A self-hosted chat platform that runs entirely in your own building. Designed to guarantee there is no leaking of data or sensitive information, making it the perfect choice for sensitive or regulated industries.
- Runs entirely on your own infrastructure
- Configured exactly to your specific requirements
- No data leakage — safe for sensitive industries
- Everything auditable, nothing egressing without a rule
you
Compare quantum and classical encryption — one paragraph, plain English.
Auto
→ picked Llama
— all-rounder, runs on your GPUs
// taking it further
Wondering how the apps fit together?See the whole suite & customer builds
Need to deploy this inside your perimeter?How self-hosted works
Public sector, healthcare, legal, finance?See the regulated industries page
Want the best frontier models too?Add Privacy Gate to your self-hosted stack
—the rest of the suite
Knowledge composes well with Chat, Extract and Privacy Gate.
Pair Knowledge with the chat surface your team already uses, the ingestion that turns paper into searchable structure, and the gate that keeps sensitive prompts home.
06 — deploy it
Stop losing what you already know. Give your AI a memory.
Run Knowledge on our European cloud, or install it on your own servers. Either way, we connect the first sources with you, write the first retrieval policies, and hand over the keys.
We connect the first three sources with you and write the retrieval policies before we hand it over — so it’s useful on day one, not on day ninety.
// cloud or your own servers — talk to a human, not a ticket queue.
// contact
reading inboxEmail us — humans, not a ticket queue.