A complete local AI stack.
Lokalaise delivers the complete software stack to run local AI in your company — from connectors to integration with your tools. If needed, we supply the managed hardware as well, as part of the service.
100% locally operatedGDPR-compliantproductive in 14 days
01The architecture
Five layers, one managed stack.
From connecting your sources to integrating with your tools — each layer builds on the one below. Select a layer to see its role.
1.1
Connector Layer
Reads your source systems — incrementally, true to the source, with no data migration.
Delta sync instead of full exports: connectors continuously read your systems and carry over documents, metadata, and and access rights (ACLs) true to the source. Nothing is copied to a cloud, and no system needs to be migrated.
1.2
Knowledge Layer
Makes data AI-ready — indexed, permissioned, versioned.
A hybrid index of full text and embeddings: every fragment carries its source, permissions, and and version. Retrieval is permission-aware — whoever asks sees only what they would be allowed to see in the source system.
1.3
Agent Layer
Automates processes — controlled, logged, measured.
Agents take over recurring processes — first in shadow mode alongside your people, then in production. Every step lands in the audit trail, and nightly evals measure quality against real cases.
1.4
User Layer
Where your teams work — chat, search, and and frontends.
The interface to all permissioned knowledge: chat and search in natural language. Every answer carries citations — one click leads to the exact passage in the original document, including its version.
1.5
Integration Layer
Brings answers into your existing tools — instead of adding another one.
Answers and workflows land where the work happens: in Outlook, in Teams, and and via API in your business applications. The platform becomes part of your tools — not yet another window.
The entire stack is operated by Lokalaise — including managed on-site hardware, if you wish.
02From data to answer
Governed knowledge, not generic RAG.
Every document passes through the same controlled path — and every answer carries its source, permissions, and and version.
2.1
Source systems
SharePoint
SMB · Exchange
ERP/DMS
Your data, where it lives
2.2
Connector Layer
Delta sync
ACLs carried over
Metadata true to source
reads, doesn't copy
2.3
Knowledge Layer
Index + embeddings
Permissions per fragment
Version state
makes it AI-ready
2.4
User Layer
Chat & search
Citations per statement
One click to the source
answers with evidence
one path · no cloud · permissions end to end
Grounded answer
The verified structural analysis for component B-204 was released in revision 3 — valid fire-protection class F90, confirmed by the test report dated 12 March.
No free guessing — every statement is tied to a specific, permissioned document and can be verified.
03The layers in detail
What each layer actually delivers.
Connector, Knowledge, Agent, User and Integration work together — from connecting your sources all the way into your everyday tools.
Hardware — on-site · managed on request
Integration Layer
Answers and workflows land in the tools your teams already use — Outlook, Teams, and and via API in your business applications.
- No extra window — the platform becomes part of your tools
- Open API for custom integrations
User Layer
Chat, search, and and frontends across all permissioned knowledge — every answer carries citations, and one click leads to the exact passage in the original.
- Natural language instead of search syntax
- Citations with source, page, and and version
Agent Layer
Agents take over recurring processes — first in shadow mode alongside your people, then in production and fully logged.
- Audit trail for every step
- Nightly evals measure quality against real cases
Knowledge Layer
A hybrid index of full text and embeddings — every fragment stays tied to its source, permissions, and and version.
- Permission-aware retrieval on every query
- Versioning instead of outdated copies
Connector Layer
Reads source systems incrementally — delta sync instead of full exports, with access rights and metadata carried over true to the source.
- SharePoint, SMB, Exchange, Confluence, ERP/DMS
- No data migration, no cloud copy
04Grounded, not claimed
The difference between evidence and assertion.
Same question, two answers: generic AI asserts from training data — without a source. Lokalaise answers from your documents — with source, version, and and permissions.
When does supplier contract LF-118 expire?
Generic AI
Assertion without a source
Supplier contracts typically run for one to three years — so the contract should expire around the end of 2026; exact terms vary.
- Answer guessed from statistical model knowledge
- No source, no permissions, no version state
- No audit path — not traceable
- Sounds convincing, even when it's wrong
Lokalaise
Source · Version · Permission
The approved contract LF-118 runs until 31 December 2027 and includes fixed pricing for the first 24 months (§ 12).
- Answer tied to a specific, permissioned document
- Source, version, and and permissions travel with the answer
- Complete audit path for every statement
- Says clearly when the sources aren't sufficient
05Value over time
Software wears out. Knowledge compounds.
Every tool you buy is most valuable on day one. Lokalaise is most valuable on the last: the knowledge layer learns every night from usage and feedback — and every workflow becomes a building block for the next.
- 01Usage during the day
- 02Feedback & benchmarks
- 03Optimization overnight
— and more precise answers in the morning.
Learns every night
Usage, feedback, and and benchmarks flow back overnight — hit rates, ranking, and and answer precision improve automatically.
Workflows as building blocks
Every knowledge workflow you set up becomes a reusable building block. The next use case starts faster and at lower cost.
A knowledge layer that grows
New documents, projects, and and sources continuously extend the knowledge layer — the platform becomes more valuable with your work.
06A turnkey solution
Turnkey — productive in 14 days.
You're not buying an AI project, you're buying a result: stack, operations and, if you wish, the hardware come from a single provider. The first workflow runs on real data after 14 days.
14 days
to the first live workflow
100%
locally operated
no cloud, no external APIs
0
in-house AI team required
fully managed by Lokalaise
6.1 · Days 1–3
Connect
The infrastructure is set up on-site and your sources are connected via the Connector Layer — no cloud, no data export.
6.2 · Days 4–10
Build the knowledge layer
Your data is indexed, permissioned, and and versioned. In parallel, the first workflow takes shape — on your real data, not demo material.
6.3 · Day 14
Live in production
The first workflow goes live — with grounded answers and measurable value on a real use case.
6.4 · After that
Roll out
From there, the platform scales across additional teams, sources, and and departments — step by step, with evidence at every stage.
Ready for grounded AI
From raw data to a grounded answer — on your own infrastructure.
Let's set up a first workflow on your real data — managed, local, and and productive in 14 days.
One-time onboarding · Platform incl. hardware · Managed workflows