{"id":279,"date":"2026-10-18T10:25:13","date_gmt":"2026-10-18T08:25:13","guid":{"rendered":"https:\/\/chatai2026.com\/?page_id=279"},"modified":"2026-10-26T18:50:28","modified_gmt":"2026-10-26T17:50:28","slug":"business-enterprise","status":"publish","type":"page","link":"https:\/\/chatai2026.com\/en\/business-enterprise\/","title":{"rendered":"Business & Enterprise"},"content":{"rendered":"
\n
\n
\n
\n\n \n
\n
\n\n
\n AI CHAT 2026 \u00b7 BUSINESS\n <\/div>\n\n

\n Local AI for teams and businesses\n <\/h1>\n\n

\n AI Chat 2026 combines local models, powerful AI servers, developer workflows and controllable data flows in a professional working environment.\n <\/p>\n\n

\n\n \n Submit a company inquiry\n <\/a>\n\n \n View deployment scenarios\n <\/a>\n\n <\/div>\n\n <\/div>\n <\/section>\n\n\n \n
\n\n
\n\n
\n\n
\n FOR PROFESSIONAL ENVIRONMENTS\n <\/div>\n\n

\n Not every workplace needs a high-end GPU.\n <\/h2>\n\n

\n 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.\n <\/p>\n\n <\/div>\n\n\n

\n\n
\n
01<\/div>\n

Local models<\/h3>\n

\n Operate AI models within your own infrastructure and process sensitive data in a controlled manner.\n <\/p>\n <\/div>\n\n

\n
02<\/div>\n

Central AI servers<\/h3>\n

\n Provide high-performance models centrally without equipping every workstation with high-end hardware.\n <\/p>\n <\/div>\n\n

\n
03<\/div>\n

Developer workflows<\/h3>\n

\n Projects, repositories, code, documents and technical analyses in a shared working environment.\n <\/p>\n <\/div>\n\n

\n
04<\/div>\n

Hybrid usable<\/h3>\n

\n Combine local models and external AI providers depending on the use case.\n <\/p>\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n \n

\n\n
\n\n
\n\n\n \n
\n\n
\n\n \n EXAMPLE ARCHITECTURE\n <\/span>\n\n

\n Centralized AI. Decentralized workplaces.\n <\/h3>\n\n <\/div>\n\n\n
\n\n
\n\n
\n <\/span>\n <\/span>\n <\/span>\n <\/div>\n\n <\/div>\n\n
\n\n LOCAL AI SERVER<\/small>\n\n \n High-performance local LLM\n <\/strong>\n\n
\n GPU<\/span>\n Large model<\/span>\n Intranet<\/span>\n <\/div>\n\n <\/div>\n\n <\/div>\n\n\n
\n\n <\/span>\n\n
\n LAN \u00b7 VPN \u00b7 INTERN\n <\/div>\n\n <\/span>\n\n <\/div>\n\n\n
\n\n
\n
AI<\/div>\n Development<\/strong>\n Standard PC<\/small>\n <\/div>\n\n
\n
AI<\/div>\n Engineering<\/strong>\n Notebook<\/small>\n <\/div>\n\n
\n
AI<\/div>\n Project team<\/strong>\n workplace<\/small>\n <\/div>\n\n
\n
+<\/div>\n Other users<\/strong>\n scalable<\/small>\n <\/div>\n\n <\/div>\n\n\n
\n\n \u2713<\/span>\n\n
\n \n Concentrate computing power where it is needed.\n <\/strong>\n\n

\n Large models can be operated centrally while users work at their normal workstations.\n <\/p>\n <\/div>\n\n <\/div>\n\n <\/div>\n\n\n \n

\n\n
\n TEAM SCENARIO\n <\/div>\n\n

\n A powerful AI server for many users\n <\/h2>\n\n

\n 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.\n <\/p>\n\n

\n \u2713<\/span>\n
\n Central model provision<\/strong>\n

\n Models and computing power can be pooled within the company's own infrastructure.\n <\/p>\n <\/div>\n <\/div>\n\n

\n \u2713<\/span>\n
\n Standard user hardware<\/strong>\n

\n The individual workstations do not necessarily require the same GPU performance as the central AI server.\n <\/p>\n <\/div>\n <\/div>\n\n

\n \u2713<\/span>\n
\n Controllable infrastructure<\/strong>\n

\n Suitable for local networks, VPN scenarios and environments with increased control requirements.\n <\/p>\n <\/div>\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n \n

\n\n
\n\n
\n\n
\n DEVELOPMENT\n <\/div>\n\n

\n AI support for real-world development projects\n <\/h2>\n\n

\n AI Chat 2026 Pro Plus offers more than just a chat function. Project and repository context can become an integral part of the workflow.\n <\/p>\n\n <\/div>\n\n\n

\n\n
\n\n
\n 01\n <\/div>\n\n

Project and repository analysis<\/h3>\n\n

\n Analyze solutions, projects, dependencies, and directory structures and reuse them in context.\n <\/p>\n\n

    \n
  • Project analysis<\/li>\n
  • Repository context<\/li>\n
  • Code analysis<\/li>\n
  • Project knowledge<\/li>\n <\/ul>\n\n <\/div>\n\n\n
    \n\n
    \n 02\n <\/div>\n\n

    Create and modify code<\/h3>\n\n

    \n AI Chat 2026 can support developers in analyzing, generating, and further developing code.\n <\/p>\n\n

      \n
    • Code creation<\/li>\n
    • Code changes<\/li>\n
    • Analysis of existing implementations<\/li>\n
    • Technical support<\/li>\n <\/ul>\n\n <\/div>\n\n\n
      \n\n
      \n 03\n <\/div>\n\n

      Repository integration<\/h3>\n\n

      \n Support for professional repository workflows and working with existing development projects.\n <\/p>\n\n

        \n
      • GitHub<\/li>\n
      • GitLab<\/li>\n
      • Bitbucket<\/li>\n
      • Remote repositories<\/li>\n <\/ul>\n\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n \n
        \n\n
        \n\n
        \n\n
        \n OPERATIONAL SCENARIOS\n <\/div>\n\n

        \n For different technical requirements\n <\/h2>\n\n <\/div>\n\n\n
        \n\n
        \n 01<\/span>\n\n \n Development teams\n <\/strong>\n\n

        \n Local models, project context, repositories and coding support for technical teams.\n <\/p>\n <\/div>\n\n\n

        \n 02<\/span>\n\n \n Sensitive project data\n <\/strong>\n\n

        \n Local processing for workspaces where a public cloud is not the preferred option.\n <\/p>\n <\/div>\n\n\n

        \n 03<\/span>\n\n \n Central AI infrastructure\n <\/strong>\n\n

        \n Deploy large models on powerful hardware centrally within your own environment.\n <\/p>\n <\/div>\n\n\n

        \n 04<\/span>\n\n \n Hybrid AI usage\n <\/strong>\n\n

        \n Combine local models with external providers and deploy them depending on the workflow.\n <\/p>\n <\/div>\n\n\n

        \n 05<\/span>\n\n \n Document and knowledge work\n <\/strong>\n\n

        \n Use PDFs, Word files, ZIP packages and project knowledge together in the AI workflow.\n <\/p>\n <\/div>\n\n\n

        \n 06<\/span>\n\n \n Individual environments\n <\/strong>\n\n

        \n Adapt hardware, models and working methods to the existing technical environment.\n <\/p>\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n\n \n \n\n

        \n\n
        \n\n
        \n BUSINESS & B2B\n <\/div>\n\n

        \n Let's talk about your deployment scenario.\n <\/h2>\n\n

        \n 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.\n <\/p>\n\n\n

        \n\n
        \n Team & Licenses<\/strong>\n Multiple workstations or users<\/span>\n <\/div>\n\n
        \n Local AI server<\/strong>\n Central models and infrastructure<\/span>\n <\/div>\n\n
        \n Development environment<\/strong>\n Pro Plus, Repositories and Plugins<\/span>\n <\/div>\n\n
        \n Technical coordination<\/strong>\n Individual requirements and setup<\/span>\n <\/div>\n\n <\/div>\n\n\n \n\n <\/div>\n\n <\/div>\n\n <\/div>\n\n <\/section>\n\n<\/div>\n\n\n