OpenAI-level experience. Enterprise-grade control.

The controlled AI workspace for companies.

2342.ai brings an OpenAI-like AI experience under company control: web app today, iOS app, Apple Watch and browser extension with public launch, plus company knowledge, automations, roles, auditability, team budgets and fair usage-based billing.

View launch preview Understand pricing

Not just another chatbot and not only a gateway. 2342.ai is the operating layer companies need to roll out AI broadly without seat politics, shadow accounts or loss of control.

0 EUR seat markup for additional team members
2 modes private and business AI use cleanly separated
4 surfaces web today; iOS, Apple Watch and browser extension with launch
1 budget shared team budget for real model work

Consumer comfort. Company rules.

Employees should be able to use AI without the company losing control.

Real rollout rarely fails because of model quality. It fails because of shared accounts, private shadow tools, unclear data paths, wasted seats and poor day-to-day usability. 2342.ai gives every employee their own access while the company keeps budgets, roles, logs and rules in place.

Editorial illustration of one central AI workspace connecting models, research, files and governance.
One access point for real AI work: chat, files, automations, apps and rules in one place.

The category

Not another workspace. An AI layer for the whole company.

2342.ai connects the usage layer, the data layer and the control and cost layer. Employees get a modern AI experience. Admins keep roles, budgets, audit logs, model approvals and data paths under control.

Adoption

AI for every employee, without seat politics

AI competence does not appear when only three power users have access. 2342.ai separates team access and model consumption so broad usage does not become a license fight.

Trust

Allow private use. Control business use.

At chat start, employees can separate private and business use. Business work remains auditable; private content stays private.

Knowledge

Company knowledge instead of file hunting

Drive and SharePoint are not treated as checkboxes. They become the knowledge base for assistants, reports and recurring work.

Daily work

Automations with visible progress

Recurring tasks can run while employees follow progress on web, mobile or Apple Watch.

The core arguments

Everything that makes AI rollout practical belongs in the same platform.

Chat & assistants

A modern AI interface for writing, analysis, research, image work and reusable workflows.

Drive & SharePoint knowledge

Company files become the basis for internal assistants, summaries and grounded answers.

Automations

Recurring work such as reports, document checks or meeting prep can run on schedule and stay traceable.

iOS, Apple Watch and browser

Web is the base today. iOS, Apple Watch and browser extension are planned as launch surfaces so AI follows daily work.

Budgets & audit logs

Admins keep usage, cost, roles, API access and business data paths visible.

API and gateway

Existing OpenAI-style or Anthropic-style integrations can run through 2342.ai with rules, budget checks and logging.

Separate private and business use

Employees can learn AI without exposing private content. Business chats remain traceable.

View feature

Make company knowledge usable

Google Drive and SharePoint become the work base for assistants, reports and internal answers.

View knowledge layer

Morning work is already prepared

Automations find files, read reports, summarize content and deliver results on schedule.

View automations

AI where work happens

Web today; browser extension, iOS app and Apple Watch app as launch surfaces for daily work.

View apps

Daily work, not demo theater

AI has to live where work happens: browser, iPhone, Watch and company files.

Pure web workspaces quickly become one more tab. 2342.ai treats AI as a daily work layer: improve text in the browser, continue on the road, follow automations, use company documents and find recurring work prepared in the morning.

Editorial illustration of organized team controls with prompt library, budget control and model routing.
2342.ai should not become another tool island. It is the AI layer across daily work, company knowledge and recurring tasks.

Rollout logic

Make AI broadly usable first. Then attach knowledge and automations.

01

Access for everyone, not seat politics

Every employee gets their own account. Cost is managed through team budget and usage, not artificial scarcity.

02

Separate private and business use

People can learn AI in daily life. Business use remains visible; private content stays private.

03

Attach knowledge and routines

Drive, SharePoint, browser and automations turn chat into a work environment.

Fair billing

AI costs are not attached to office chairs.

Seat prices force companies to artificially limit AI. Then employees share logins, use private accounts and auditability breaks. 2342.ai separates platform access from model consumption: every employee can have their own account, usage remains traceable and costs stay controlled through team budgets.

Understand team budget instead of seat prices

Starter

25 EUR / month

For individual users and small internal tests.

  • Managed platform access and API
  • Curated model catalog with routing rules
  • Usage budget visible separately from access

Professional

99 EUR / month

For teams that use AI daily, not just as an experiment.

  • Team access without per-member pricing
  • Shared usage budget for model consumption
  • Prompt library and team functions
  • Usage and budget view for owners

Enterprise

199 EUR / month

For companies with more usage, more rules and API integration.

  • Higher limits and prioritized support
  • Own operating and approval processes
  • Technical help for rollout, API usage and usage budgets

Before rollout

The important questions are human: who may use AI, what stays private, what is business use, and what does real usage cost?

Why not simply buy ChatGPT Team, Copilot or a workspace?

Because the rollout problem often remains: who gets a seat, who uses private accounts, what is business use, what stays private, which data sources are connected and how costs remain fair.

Is 2342.ai mainly a Langdock alternative?

No. That comparison is too small. 2342.ai is positioned as the controlled AI workspace for companies that want broad rollout: apps, company knowledge, automations, budget logic and auditability.

Why usage instead of seats?

AI costs appear when models do work. Seat prices punish additional users in the wrong place and encourage shared accounts or shadow AI.

How does private/business separation work?

Private chats stay private and only appear as aggregated billing usage. Business chats can run with company context, roles, budgets and auditability.

Which apps exist?

The web app is the base. iOS app, Apple Watch app and browser extension are positioned as launch surfaces. Android and desktop apps are not available yet.

What happens with Drive and SharePoint?

They become the knowledge base for assistants and automations, not just an integration list. Access should run through team, role and approval logic.

Next step

If AI should really enter the company, solve the rollout problem first: access for everyone, clear separation, company knowledge, automations and budget control.

Request magic link info@2342.ai