JPEN

Local LLM Deployment

For work where data can't leave your organization, we build LLM infrastructure that runs in your own environment — from model selection to operational handover.

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Where it fits

We make AI usable for work where data can't — or shouldn't — be sent to cloud AI services.

01

Confidential work

  • Summaries and drafts of contracts and quotes
  • Organizing documents that contain customer data
  • Searching design data and drawings
  • Translating internal-only material
02

Internal knowledge search

  • Cross-searching policies and procedures
  • Looking up past reports and minutes
  • Suggested answers for inquiries
  • Q&A for new staff
03

Routine documents

  • Drafts of daily and periodic reports
  • Cleaning up meeting notes
  • Standard emails and notices
  • Form-filling assistance
04

Integration with existing systems

  • Search over documents on file servers
  • Answers grounded in core-system data
  • Access from your chat tool
  • Usage logs and access control

How a deployment works

01

Requirements

We confirm the data involved, the users, and the accuracy and response time you need.

02

Model and architecture

We choose a model and setup to fit the use case and hardware, and test with real data.

03

Build and verify

We deploy in your environment and check accuracy, speed, and permissions under real conditions.

04

Handover

We set up update procedures, monitoring, and usage rules so your team can run it.

How it differs from cloud AI

Cloud AI services
Data passes through external servers
Usage-based billing
Subject to the provider's changes
Local LLM
Data stays in your environment
Mostly fixed costs after setup
You decide when to update

Questions we often hear

How accurate will it be?

It depends on the use case. During requirements we test with your real data and compare against cloud AI, so you can decide with the results in hand.

Do we need a dedicated server?

It depends on the use case and number of users. Existing PCs or servers are sometimes enough; when new hardware is needed, we help with selection.

Can we run it ourselves afterward?

Yes. We hand over update procedures and usage rules, and can train your in-house owner through AI Coaching if needed.

Take the first step with AI — talk to us

Executive decisions, workflow design, hands-on implementation — we help you sort it all out.

  • Free initial consultation
  • 30-min online session
  • Reply within 1 business day
Book a free consultation