AI
Open-source approach, portable context and no vendor lock-in for an enterprise AI environment with client-controlled data.
We use international open-source solutions and open protocols wherever possible. This reduces dependence on a single vendor, simplifies auditing, allows the environment to be deployed within the client's infrastructure, and keeps the architecture manageable.
An AI environment must not be locked into a single product. We design so that a company can use different working environments: Codex, Claude, Cursor, Hermes, OpenClaw, and others. If the model, IDE, or agent environment changes tomorrow, the corporate memory, instructions, skills, MCP integrations, and processes must remain compatible.
Company context must be portable: AGENTS.md, skills, MCP, a markdown/json knowledge base, verifiable instructions, evals, and action logs. Data and critical knowledge stay under the client's control. AI does not replace accountability: a human approves critical actions, and the system preserves a trail of decisions.
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