Offline local deployment
For customers requiring no third-party AI API contact for sensitive files.
Enterprise
Enterprise private AI and industry systems.
Business-grade AI with controlled routing, workspace isolation, and industry-specific intelligence—not generic AI tools applied to enterprise problems.
Platform architecture
Enterprise security and deployment options.
Deployment models are available for customers with specific security and privacy requirements.
Hybrid approval deployment
Local-first analysis with approved cloud escalation.
Private cloud / ZDR route
Privacy-approved cloud route where zero data retention is required.
Standard cloud / API
For normal business workflows and integrations.
Enterprise capabilities
What is available, planned, and available to scope.
Private-source AI platform
Enterprise-ready core design.
Industry systems
Hotel, hospital, and real-estate operational modules.
Workspace separation
Each product area runs in an isolated workspace context.
API controls
Scoped keys, test/live separation, and revocation.
Local and private mode
Local-first workflows for sensitive files.
Role-based permissions
Granular permissions across workspace members.
Audit logs
Activity logging for requests, document access, and permissions.
Data retention controls
Configurable retention periods and deletion policies.
Private deployment option
Scope depends on infrastructure and implementation.
Custom routing and SLA
Approved routing policies, onboarding, support, and service levels.
Enterprise use cases
Purpose-built intelligence for operating environments.
Multi-property hotel groups
Centralized room, guest, complaint, and revenue intelligence.
Healthcare organizations
Isolated operations, scheduling, incident summaries, and analytics.
Real-estate portfolios
Property intelligence, market signals, and role-scoped analysis.
Holding companies
Group reporting with subsidiary isolation and executive intelligence.
Enterprise options are available to discuss and scope. Private deployment, custom routing, and dedicated support depend on implementation scope, infrastructure requirements, and agreed timelines.