Data Control
Keep internal documents, embeddings, retrieval indexes, and workflow data closer to the business.
Self-Hosted Intelligence Layer
Control the Stack Before Scaling the Use Cases.
Deploy a private model and knowledge platform on a workstation, server, NAS, or private cloud so sensitive workflows do not depend entirely on third-party SaaS.
Private Model Infrastructure
Self-Hosted or Private
- Built for local, server, NAS, private cloud, or hybrid deployment
- Keeps internal documents and model workflows under clearer control
- Creates a reusable base for chat, retrieval, automation, and reporting
Modules
Private Model Infrastructure Modules
The platform gives each client a controlled base for model serving, document retrieval, storage, and private workflow integration.
Private Model Cloud
Local Model Server
Document Intelligence Server
NAS Knowledge Store
Office Model Server
Branch or Home Lab Server
Business Case
Reduce SaaS Dependency for Sensitive Work.
Many teams want model-assisted workflows but cannot send every document, conversation, or internal process into another hosted platform.
This infrastructure product creates a private base where models, retrieval, storage, and automations can be deployed with clearer ownership and access control.
Cost Discipline
Use local or private models where they fit, and reserve hosted models for tasks that truly need them.
Reusable Base
Start with infrastructure once, then add assistants, reporting, automation, search, and knowledge workflows over time.
- Useful for teams with sensitive documents, strict procurement, or recurring model costs
- Can run on selected local hardware, private servers, NAS devices, or cloud infrastructure
- Designed as a foundation for client-specific product modifications
Workflows
A Private Layer for Documents, Models, and Tools.
The product turns scattered internal knowledge into an accessible, governed system.
Documents, databases, file shares, and business tools can be connected into a retrieval and automation layer that supports internal teams without exposing everything to public SaaS defaults.
Knowledge Access
Index approved files, policies, procedures, technical notes, and business documents for internal search and assistants.
Model Serving
Host selected local models for summarisation, drafting, classification, and retrieval workflows.
Secure Workflows
Connect automations, dashboards, and internal tools to the private layer with clear access boundaries.
- Supports local LLM servers, private retrieval, and document servers
- Can be extended to department-specific assistants and internal dashboards
- Works as a base for regulated or procurement-sensitive AI adoption
Implementation
Built Around the Client's Actual Deployment Reality.
Some clients need a workstation pilot. Others need a dedicated server, private cloud, or NAS-backed knowledge store.
We size the deployment around documents, model requirements, users, security expectations, latency, and maintenance capacity instead of assuming one architecture fits every business.
Environment Review
Assess available hardware, network access, storage, backups, remote administration, and user roles.
Model Selection
Choose local, hosted, or hybrid model paths based on accuracy needs, cost, privacy, and speed.
Operational Handoff
Document startup, backups, indexing, monitoring, updates, and escalation so the system can be maintained.
- Can start as a pilot and grow into a shared internal platform
- Hardware and hosting choices are scoped before purchase or deployment
- Supports client-owned operations with optional BD maintenance
Control
Private Does Not Mean Unmanaged.
A self-hosted system still needs policies, access decisions, backups, and maintenance.
The deployment is paired with access rules, update procedures, monitoring, and clear ownership so the platform remains useful after the first install.
Access Boundaries
Define who can use models, upload documents, query sensitive sources, and administer the platform.
Maintenance Path
Plan updates, backups, logs, model changes, and capacity review before the system becomes business-critical.
Expansion Ready
Add department assistants, automations, reporting, or search workflows without rebuilding the foundation.
- Best suited for businesses serious about long-term model governance
- Reduces blind dependence on tool-by-tool SaaS subscriptions
- Keeps the implementation adaptable as model options change
Pricing
Scoped Around Data, Integrations, and Control.
Pricing depends on the deployment model, number of integrations, data preparation, workflow complexity, governance needs, and ongoing support expectations.
Discovery and Solution Design
Workflow mapping, system inventory, data review, access planning, risk controls, and the first implementation plan.
Implementation Build
Configuration, custom development, integrations, prompts or retrieval flows, dashboards, testing, and handoff documentation.
Private Deployment
Local workstation, dedicated server, NAS, private cloud, or hybrid deployment with client-owned infrastructure.
Usage and Model Costs
Variable cost driven by message volume, document volume, model choice, refresh cadence, data size, and automation frequency.
Optional Change Requests
Additional modules, new departments, extra reports, more integrations, custom security rules, or migration support.
Private Model Infrastructure is usually scoped as a one-time deployment with optional support, monitoring, upgrades, and workflow expansion after launch.
Scope Private Infrastructure