KT.Team's AI Principles

We use international open-source solutions and open protocols wherever possible.

This reduces dependence on a single vendor, simplifies audits, lets you deploy the stack in the client's infrastructure, and preserves architectural control.

For strict GDPR compliance, we deploy open-weight models (DeepSeek V4 - MIT, Qwen3 - Apache 2.0, Gemma 4) on your own hardware or in a RU cloud; we connect leading closed models via LLM gateway for GDPR, not directly.

An open stack can be audited - you can see what is inside.

The AI stack should not be locked into a single product.

We design it so a company can use different work environments: Codex, Claude, Cursor, Hermes, OpenClaw, and others.

If the model, IDE, or agent environment changes tomorrow, corporate memory, instructions, skills, MCP integrations, and processes remain compatible - it is a configuration change, not a code rewrite.

Which model to use for each process is covered in LLM comparison 2026: there is no single best model; the choice depends on the task, budget, and data requirements.