AI CHAT 2026 · BUSINESS

Local AI for teams and businesses

AI Chat 2026 combines local models, powerful AI servers, developer workflows and controllable data flows in a professional working environment.

Not every workplace needs a high-end GPU.

AI Chat 2026 can be deployed directly on high-performance workstations as well as with centrally provided local models. This allows for the integration of varying hardware and security requirements within a team.

01

Local models

Operate AI models within your own infrastructure and process sensitive data in a controlled manner.

02

Central AI servers

Provide high-performance models centrally without equipping every workstation with high-end hardware.

03

Developer workflows

Projects, repositories, code, documents and technical analyses in a shared working environment.

04

Hybrid usable

Combine local models and external AI providers depending on the use case.

EXAMPLE ARCHITECTURE

Centralized AI. Decentralized workplaces.

LOCAL AI SERVER High-performance local LLM
GPU Large model Intranet
LAN · VPN · INTERN
AI
Development Standard PC
AI
Engineering Notebook
AI
Project team workplace
+
Other users scalable
✓
Concentrate computing power where it is needed.

Large models can be operated centrally while users work at their normal workstations.

A powerful AI server for many users

Especially in development teams, it doesn't make sense to equip every workstation with a powerful GPU. A central AI server can provide more powerful models for multiple users.

✓
Central model provision

Models and computing power can be pooled within the company's own infrastructure.

✓
Standard user hardware

The individual workstations do not necessarily require the same GPU performance as the central AI server.

✓
Controllable infrastructure

Suitable for local networks, VPN scenarios and environments with increased control requirements.

AI support for real-world development projects

AI Chat 2026 Pro Plus offers more than just a chat function. Project and repository context can become an integral part of the workflow.

01

Project and repository analysis

Analyze solutions, projects, dependencies, and directory structures and reuse them in context.

  • Project analysis
  • Repository context
  • Code analysis
  • Project knowledge
02

Create and modify code

AI Chat 2026 can support developers in analyzing, generating, and further developing code.

  • Code creation
  • Code changes
  • Analysis of existing implementations
  • Technical support
03

Repository integration

Support for professional repository workflows and working with existing development projects.

  • GitHub
  • GitLab
  • Bitbucket
  • Remote repositories

For different technical requirements

01 Development teams

Local models, project context, repositories and coding support for technical teams.

02 Sensitive project data

Local processing for workspaces where a public cloud is not the preferred option.

03 Central AI infrastructure

Deploy large models on powerful hardware centrally within your own environment.

04 Hybrid AI usage

Combine local models with external providers and deploy them depending on the workflow.

05 Document and knowledge work

Use PDFs, Word files, ZIP packages and project knowledge together in the AI workflow.

06 Individual environments

Adapt hardware, models and working methods to the existing technical environment.

Let's talk about your deployment scenario.

Are you planning to use AI Chat 2026 for multiple users, a local AI server, a development team, or a custom technical environment? Briefly describe your project.

Team & Licenses Multiple workstations or users
Local AI server Central models and infrastructure
Development environment Pro Plus, Repositories and Plugins
Technical coordination Individual requirements and setup
BUSINESS & B2B

Company inquiry

Briefly describe your project. We will get back to you regarding team licenses, local AI servers, Pro Plus, plugins, or custom integrations.

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