Overview
Generative AI built for regulated environments
AI adoption is accelerating across government and enterprise, but regulated organizations face a constraint: many public AI models and tools require cloud connectivity, while prompts, files, records, logs, and outputs need to stay inside the authorized boundary.
DMI Q Box (Q Box) was built for these workloads. Pre-loaded with a language model and AI software stack that run entirely on the appliance, it operates inside your environment with no external API calls, giving teams a controlled foundation for reusable AI across mission and business workflows.
Business Benefits
Data Sovereignty
Data stays inside the authorized boundary and cannot be viewed or accessed by model providers.
Zero Token Costs
Avoid usage costs tied to the tokens required for inference.
Auditable Governance
Show reviewers who used which model, against which content, under which permissions. The evidence is part of normal operation, not a separate exercise.
Faster Workflows
The appliance arrives configured and benchmarked for performance, security, connectors, and capacity. Teams start on use cases instead of standing up infrastructure.
Complement the Cloud
Q Box gives organizations an on-premises option for workloads that need to stay inside the authorized boundary, while still fitting alongside broader cloud investments.
Enterprise-Grade Security
Security extends beyond infrastructure. From air-gapped deployments to governed access and audit trails, Q Box helps organizations operate AI inside controlled environments with confidence.
FEATURES
Local Inference and Private RAG
Run a language model on the appliance and ground responses in approved organizational content, including policies, SOPs, tickets, logs, and technical documentation.
Multi-Agent Workflows and Connectors
Automate tasks and knowledge processing with multi-agent workflows, connected to the systems and content sources your teams already use.
Zero Trust Access and SSO
Verified identity through SSO, with access continuously checked and scoped per user, every request evaluated, no blanket permissions.
Audit trails and traceable storage
Capture AI interactions and documents with traceability that supports governed usage in regulated environments.
Private document and image analysis
Analyze screenshots, diagrams, technical drawings, policies, and other sensitive materials on the appliance, with nothing sent to an outside service.
Local developer assistance
Developer copilots run locally for code generation, review, refactoring, and documentation.
Model
Insights
