
Company AIthat staysat home.
Crowlin runs on your own server with its own language model. It answers from contracts, policies, ERP and shared drives — and gives each person only what they are allowed to see. Not a single byte leaves.
Public AI doesn’t know what you know. And what you tell it is no longer only yours.
Employees help themselves
Contracts, prices and internal procedures get pasted into public chatbots. Nobody knows what leaked where — and the model makes up answers about your company.
AI gets banned
The data is safe, but people keep spending hours searching shared drives, e-mail and the ERP. Meanwhile competitors speed up.
Your own AI behind your own wall
The language model, search and knowledge run on a server you own. The AI answers from company documents, with citations and within each person’s permissions.
The journey of one question. Entirely inside.
Who is asking
Sign-in with a company Microsoft or Google account. Without a verified identity Crowlin answers nothing at all.
No identity: rejected, not “anonymous mode”What they may see
Roles, teams, projects and confidentiality level are loaded from the permission database — never from the question. Whatever is not explicitly allowed is denied.
An explicit deny always beats a roleSearching the documents
Only documents the person can access are searched — contracts, policies, ERP, shared drives. A second, specialised model ranks the most relevant passages.
The permission filter runs on the server, not in the appA model on your hardware
The answer is written by a language model running on a GPU inside the server. No calls to OpenAI, Google or any other third party.
Outbound data to external AI: 0 BAn answer with citations
Every claim links to a source you can open. If the answer isn’t in the documents, Crowlin says so instead of making it up.
“It’s not in the documents” is a valid answerAudit record
Who asked, what they were allowed to see and which documents the answer came from. Every question leaves a traceable record.
Audit trail for every questionSame question. Three people. Three correct answers.
Crowlin doesn’t answer “for the company” but for a specific person. Sales can’t see payroll, production can’t see prices and margins. You won’t even learn that documents you can’t access exist.
One knowledge base, three different views. Permissions come from roles and teams, not from how someone phrases the question.
It knows what you know. And in the morning, what changed yesterday.
Crowlin connects to the systems where your knowledge already lives. Nothing to rewrite, nothing to migrate. Sync runs overnight and every document carries its own permissions.
Shared drives, SharePoint and documentation
Contracts, policies, data sheets, ISO documentation, price lists, meeting notes. Folders map to confidentiality levels — the HR folder stays with HR.
ERP and accounting
Orders, jobs, stock, invoices, complaints. Connected via API to the system you use — SAP, Microsoft Dynamics, local ERPs or your own solution.
Photo of a document
Snap an invoice, delivery note or label. The text is read by the model on the server — the photo never leaves.
The server does the maths
Revenue, margins, downtime, cost of complaints. Calculations run directly on the data — the model doesn’t estimate numbers, it only explains them.
The web, when needed
Up-to-date information from the internet through a search engine running on the server. The model decides when to search inside the company and when outside.
Instead of searching, you ask.
On your phone on the way to a meeting, in the browser at your desk, or directly inside the systems you already use.
“How does our final inspection work?”
An answer from the policies with a link to the exact document. Onboarding without dozens of questions to senior colleagues.
“What happened on the shifts yesterday?”
Downtime, complaints and late orders from shift reports and the ERP. Every morning, without digging through them by hand.
“What price did we last give this customer?”
Latest quotes, discounts and contract terms — only what sales may see.
“How much have complaints cost us this year?”
Figures straight from the ERP, calculated on the server. The model only reads and explains them.
Mobile app
Installed from the browser to the home screen. No app store, with company sign-in.
Chat in the browser
A full interface with history, citations and photo and file uploads.
API and MCP
Your internal apps and tools ask the same Crowlin — with the same permissions.
Morning digests
A summary of operations, orders and complaints delivered in the morning — without having to ask.
Crowlin in your pocket. And in the browser at your desk.
This is what Crowlin really looks like. On a phone it installs straight from the browser as an app — no App Store or Google Play, with company sign-in. On a computer it runs in the browser.
Mobile app for iPhone and Android
Home-screen icon, full screen, fast start. Updates install themselves.
Photos straight from the camera
Invoice, delivery note, machine label. The server reads the text and Crowlin checks it against your documents.
Notifications
When a digital employee finishes the morning digest or is waiting for your approval.
Digital employees with precisely defined authority.
Crowlin doesn’t just answer. Digital employees prepare the morning operations digest, assess a public tender or check incoming invoices on their own. You decide what they may do alone and what needs human approval.
On their own
Read, search, summarise, draft. No human intervention.
With approval
Reply to a customer, change an order status, write to the ERP. A person confirms with one click.
Humans only
Payments, contracts, deleting data. The agent prepares the groundwork, a person always decides.
Every tool has a risk class. An agent never gets a tool without an assigned class — and every action it takes is audited under the name of whoever approved it.
Morning operations digest
Goes through shift reports, orders and complaints from the last 24 hours and sends management a summary of what’s on fire.
Bid or no bid?
Extracts the requirements from the tender documents, compares them with your references and gives a reasoned recommendation.
Does the invoice match the order?
Compares every incoming invoice with the order and contract and flags differences in price, quantity or payment terms.
Draft reply to a customer
Uses data sheets, contracts and order history to draft a reply to a customer enquiry.
Security proven by tests, not promises.
Every access rule has an automated test. If any check fails or the permission database is unavailable, Crowlin would rather not answer — it never returns unfiltered data.
Data in the EU or on your premises
A server in a German data centre, a dedicated machine, or your own server room.
Encrypted backups
Daily encrypted off-server backups. We test restores regularly instead of assuming they work.
24/7 monitoring
Availability checks from outside and inside, with alerts before you notice an outage.
Every question traceable
Who, when, what they were allowed to see and which sources the model used. For audit, compliance and debugging.
of answers accurate and backed by citations
We measure quality with a set of control questions from real operation, not by feel. In the remaining cases Crowlin honestly said it couldn’t find the answer in the documents — it didn’t make anything up. In a pilot we build the question set from your company and measure the same way.
Where the wall stands is up to you.
The software is the same in every option. The only difference is whose hardware guards your data.
Crowlin in the EU
The fastest start. Your company gets its own tested, isolated space on our server in Germany.
- Start a pilot without buying hardware
- We handle operations, backups and updates
Dedicated server
A physical GPU server for your company alone. For data that mustn’t even share hardware.
- Meets data-residency requirements
- Performance and model tuned to your questions
On-premises
Installed in your infrastructure. For banks, healthcare and sites without an outside connection.
- Can run with no internet at all
- Managed by your IT team, or by us
A pilot in four steps
We start with a small, measurable scope: one team, clear questions, real documents.
Workshop
Which questions people are looking for answers to today, and where those answers live.
Connections and permissions
We connect the sources and map roles, teams and confidentiality levels.
Control set
We build questions with correct answers and measure accuracy.
Production
Rollout to more teams, monitoring and regular quality measurement.
Is this ChatGPT with a different logo?
Is a self-hosted model as smart as the biggest ones?
What if I ask about something that isn’t in the documents?
How is access granted or revoked?
Do we need our own IT team?
We’ll show you on your own data.
A one-hour demo: we load a sample of your documents into an isolated space and let you ask away. We delete the data after the demo.