Sovereign Cloud AI
Private AI workspaces with in-country model inference.
Use powerful AI without sending sensitive data or prompts to external model APIs. CodingCords runs open-source model infrastructure, files, vectors, search, and workspace processing inside your chosen geographic region.
Based on Contracts_2026.pdf and Q2_Guidelines.pdf, the key conflicts are:
- Indemnification threshold conflicts with EU safety mandates.
- IP liability clause routes disputes to non-bounded zones.
Your private AI assistant, running inside your regional stack.
Consolidate company knowledge into a secure, isolated workspace. Upload documents, photos, audio transcripts, and video records. The assistant learns your context through private retrieval and self-hosted models, keeping knowledge, prompts, and generated answers inside your controlled environment.
Multi-Modal Ingestion
Drop PDFs, case files, audio recordings, transcripts, images, and visual records into one secure workspace.
Self-Hosted Model Runtime
Run AI workloads on open-source models hosted on infrastructure controlled within the selected region.
Deterministic Retrieval
Generate summaries, query internal knowledge, and draft reports from permission-filtered context with no third-party model API transit.
Tailored for individuals and organizations.
Personal Workspaces
A completely isolated, private environment. Your documents, search indexes, embeddings, and chats are bound to your user ID and accessible only by you.
Enterprise Workspaces
Hierarchical workspaces for organizations. Manage access across sub-teams, shared knowledge bases, private team domains, and folder-level permissions.
Built for high-trust, sensitive workflows.
Legal Professionals
Audit dense agreements, parse discovery files, and draft legal work without moving privileged material into public AI services.
R&D & Engineering
Synthesize research papers, compile datasets, and draft patent proposals while keeping proprietary IP inside private infrastructure.
Finance & Operations
Analyze private financial spreadsheets, board slides, and audit trails under strict regional and permission boundaries.
Privacy and control enforced across the full AI stack.
No External Model APIs
Prompts, documents, embeddings, and generated context are processed by self-hosted model infrastructure, not sent to OpenAI, Google, or other public model APIs.
Query-Level Access Control
Every retrieval request is filtered by user, organization, and team permissions before the AI receives context.
Physical Data Residency
Your documents, vector databases, model runtime, and cache layers reside and execute inside the chosen country or region.
Controlled Data Lifecycle
Files, embeddings, chat histories, and generated records can be governed, retained, or purged according to your workspace policy.
Ready for a private, compliant AI workspace?
Deploy a secure assistant that understands your organization while keeping data, retrieval, and model inference inside your selected region.