A secure AI workspace for your files, your teams, and your jurisdiction.
CodingCords combines private AI chat, secure drive storage, deterministic retrieval, and granular access controls. The model runtime, files, vectors, prompts, and workspace knowledge live inside the geographic boundary you choose.
Both covenants satisfy local GDPR storage rules. Data stays within regional boundaries with zero international transit detected.
A private conversational command center powered by self-hosted models.
Ask questions, draft records, and analyze files without routing prompts through public model APIs. Your assistant runs on open-source model infrastructure deployed in the same sovereign environment as your workspace data.
Sovereign Chat
Chat securely with context-aware AI that answers from your permissioned workspace knowledge.
Self-Hosted Inference
Run model execution on controlled servers instead of OpenAI, Google, or other third-party model APIs.
Visual & Document Context
Submit documents, charts, images, and records for analysis inside the regional processing stack.
Your private drive, indexed and queried inside your borders.
Import documents, case files, audio logs, images, and internal records. CodingCords chunks, indexes, retrieves, and cites your files through a sovereign RAG pipeline built to keep context local and access-controlled.
Multi-Modal Drive
Organize PDFs, documents, transcripts, audio records, and media assets in one secure workspace.
Permission-Filtered Retrieval
The AI can only retrieve context allowed by the user's personal, organization, and team access scope.
Exact Citations
Answers are grounded in source material with citations so teams can verify every sensitive response.
Control what every user, team, and organization can access.
Regional Data Plane
Keep files, vectors, caches, and model execution inside the customer-selected country or region.
Team Domains
Create isolated workspaces for departments, client matters, projects, or restricted operating groups.
Query-Level Permissions
Inject user, organization, and team scope into retrieval so private knowledge stays mathematically isolated.
Start with a secure regional workspace.
Bring private AI assistance, controlled retrieval, and self-hosted model inference to sensitive teams without public model API exposure.