No public model APIs
Prompts and private context stay away from OpenAI, Google, and other external model endpoints.
Sovereign AI Infrastructure
AI that stays where your data is allowed to live.
CodingCords runs files, memory, search, and open-source model inference inside your selected region, without sending private prompts to public model APIs.
Regional runtime
Files, indexes, cache, retrieval, and model inference run inside the selected country or region.
Permissioned answers
The assistant only uses knowledge the current user, team, or organization is allowed to access.
The promise
Privacy enforced by infrastructure, not just policy.
The workspace is built around a simple idea: keep the whole AI path close to the data, the user, and the legal boundary.
Files
in region
Memory
in region
Search
in region
Models
in region
Answers
in region
Graph-vector memory
Search that understands meaning and ownership.
CodingCords combines vector search with relationship-aware metadata. That means the assistant can find the right information while still respecting source files, team boundaries, and access rules.
Meaning
Vectors find related clauses, ideas, files, and records even when the wording is different.
Relationships
Graph context connects answers to owners, teams, source documents, and business entities.
Proof
Answers stay grounded in cited sources, so sensitive teams can verify what the AI says.
How it operates
Customer data stays in the data plane.
CodingCords can manage software delivery and health without moving customer knowledge out of the regional environment.
Data plane
Documents, vectors, graph memory, chats, cache, and model runtime live in the selected region.
Control plane
Updates, versions, health checks, and operational monitoring are managed separately.
Clear boundary
The control plane manages software. The data plane contains customer knowledge.
Why teams care
Built for sensitive work.
Legal
Review privileged files without pushing client material into public AI services.
Engineering
Use AI over proprietary research, architecture, and code inside private infrastructure.
Finance
Analyze board material, audits, and portfolios with strict access boundaries.
Regulated teams
Match AI workflows to data classes, retention rules, and regional requirements.
Regional rollout
A repeatable blueprint for sovereign AI nodes.
The same containerized architecture can be deployed into the country your organization requires while keeping each environment isolated.
195+
countries supported by design
Regional stack
Deploy files, search, cache, and model runtime inside the chosen country.
Isolated by default
Each national environment keeps its own data plane and access boundary.
Portable blueprint
The same architecture can be stamped into new regions without redesign.
Policy aligned
Match infrastructure placement to the jurisdiction your team requires.
Start with the jurisdiction.
Tell us where the data must live, who needs access, and what model runtime rules matter. We will map the smallest useful sovereign workspace first.
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