SOTA models for teams
Use current state-of-the-art models without losing privacy and cost control.
2342.ai is the platform layer in front of company AI usage: workspace, API access, model routing, roles, budgets, logs and one invoice. Teams can use modern models from OpenAI, Anthropic, Google Gemini, DeepSeek, Kimi, MiniMax and other providers as approved configurations, without managing a pile of provider accounts, keys and bills.
Model families
Model choice should follow the work, not the subscription mess.
A company does not need a new tool for every model launch. It needs controlled access to the right models, with clear rules for who may use what and which data paths are approved.
OpenAI and strong reasoning models
For analysis, writing, code, structured output and workflows where reliable execution matters more than provider folklore.
Anthropic Claude for long context and coding
For teams working with large documents, software projects, reviews and demanding writing or analysis tasks.
Google Gemini for multimodal work
For text, image, long-context and broad model coverage when the configuration is approved inside the workspace.
DeepSeek, Kimi and MiniMax
Strong alternatives for reasoning, coding, multilingual work and cost-sensitive workflows, without every team managing its own provider access.
Mistral, Perplexity, xAI, Llama and more
Research, open model families, real-time use cases and special workloads become controlled model configurations in the gateway, not another isolated tool.
OpenAI-style and Anthropic-style APIs
Existing integrations can connect with minimal changes. The endpoints remain 2342.ai platform endpoints with policy, budget checks, logs and model routing.
GDPR and operations
Not every model belongs in every data path.
We do not claim that every model is automatically suitable for every personal-data workflow. The sensible setup is an approved mode: admins decide which model configurations are allowed for sensitive data, which stay disabled and which usage must be traceable.
Approvals instead of sprawl
Teams use only the models and provider configurations approved for the workspace. That reduces shadow AI and late privacy arguments.
GDPR mode for sensitive workflows
Workspaces can be restricted to documented configurations. Non-approved models can be disabled.
DPA, subprocessors and deletion
B2B privacy needs documents, retention rules and clear data paths, not just a pretty model list.
One invoice for platform and usage
Model usage stays visible, but it does not turn into ten provider bills and personal credit cards.
How it becomes operations
From model hype to managed infrastructure.
Approve model access
Define which model families, data classes and teams are allowed.
Use workspace or API
Chat, research, files, RAG and existing integrations run through the same platform layer.
Measure usage and cost
Budgets, model routing, API keys and consumption stay visible before month-end drama starts.
No provider-account resale.
Customers receive access to the 2342.ai platform. Third-party models may be used as technical infrastructure components and subprocessors for selected platform functions. The product is the operating layer: policy, routing, billing, logs, roles and privacy controls.
Positioning
What this model page deliberately is not.
Is 2342.ai an OpenAI, Claude or Gemini reseller?
No. Customers receive access to the 2342.ai platform. Third-party models may be used as technical infrastructure components for selected platform functions.
Are all models automatically GDPR-compliant?
No. The right setup is an approved EU/GDPR mode: admins decide which provider and model configurations are allowed for sensitive data.
Can I connect existing tools?
Yes. OpenAI-style or Anthropic-style integrations can connect with minimal changes. Requests still pass through 2342.ai policy, budget control, model routing and logs.
Why no giant searchable price table?
Because companies do not need another model shelf. They need a reliable answer for access, data path, cost, approval and invoice.
Next step
If your team wants SOTA models, set up the operating layer first.
We set up access so teams can work while admins still see which models are used, what they cost and which rules apply.