Kimi GDPR

Evaluate and use Kimi through a controlled platform layer.

Kimi can be useful for specific tasks. In a company, the question is not only model quality. It is whether usage, data path, approval, cost and deletion are controlled.

Create access View model catalog

Approval instead of sprawl

Not every model belongs in every workflow.

2342.ai frames models as approved configurations inside a platform. Admins can control which teams may use which models and which models are not approved for personal or confidential data.

POST /v1/messages POST /v1/responses policy.check() route.model() meter.usage()

Routing

Task, cost and compliance decide

Model routing should not be gut feeling. 2342.ai separates workspace policy, model availability, cost and data classification.

  • Approvals per workspace
  • Budget control
  • Usage logs
  • One invoice

GDPR

No blanket promise for every model

We do not claim that every model is suitable for every personal-data workflow. The sensible approach is a configurable GDPR mode with approved provider and model configurations.

  • Optional EU/GDPR mode
  • Non-approved models can be disabled
  • Subprocessor list
  • DPA available

Operations

Models become infrastructure, not individual subscriptions

Teams need controlled access, budget limits and traceable usage. Otherwise every new model becomes the next shadow-AI account.

Rollout

Governance first. Then scale usage.

01

Set workspace policy

Define which teams, data classes, budgets and models are approved.

02

Connect API or tool

Connect existing integrations to 2342.ai with minimal changes.

03

Measure and refine usage

Keep cost, model routing and data paths visible over time.

Is 2342.ai a Kimi reseller?

No. Customers receive access to the 2342.ai platform. Third-party models may be used as technical infrastructure components and subprocessors for selected platform functions.

Are all models automatically GDPR-compliant?

No. The right approach is an approved GDPR mode: admins decide which provider and model configurations are allowed for sensitive data.

What happens to existing tools?

OpenAI-style or Anthropic-style integrations can connect with minimal changes. The endpoints remain 2342.ai platform endpoints with policies, routing, billing, rate limits and logs.