DeepGlint Government Hyper-Converged Appliance
One appliance securely powers intelligent documents, meetings, and workflows
An integrated private platform combining large models, agents, government knowledge, and computing infrastructure. Models, knowledge, data, and agent operations remain manageable, controllable, and auditable on premises.
- Ready to use
- Data stays local
- Fully controlled
- Domestic IT option
- Documents
- Draft / review / summarize / route
- Meetings
- Transcription / minutes
- Workflows
- OCR / RPA / orchestration
- Security
- Private / permissioned / auditable
- Performance
- Mixed GPU / inference acceleration
- Extensible
- Agents / orchestration / system integration
Documents · Meetings · Workflows
Government knowledge and large models work together across document processing, meeting management, and service workflows, so AI can take part in daily office work.
Documents
From source material to final draft

- Intelligent document drafting
- Titles / outlines / reference drafting
- Intelligent retrieval and citation
- Document summaries
- Intelligent document review
- Intelligent routing suggestions
- File comparison / duplication check
- WPS / OFD document support
Understands source material, format, and policy, so AI can take part in the full document workflow.
Meetings
From live speech to reusable minutes

- Live speech-to-text
- Recording transcription
- Speaker identification
- Government-domain hotwords
- Meeting-material understanding
- Automatic minutes
- Minutes in the unit template
- Minutes search and knowledge capture
Record in real time during the meeting and organize afterward, so every meeting becomes reusable organizational knowledge.
Workflows
From advice to execution

- Intelligent routing suggestions
- OCR document recognition
- Information extraction and form filling
- RPA process automation
- Intelligent approval assistance
- Policy / business Q&A
- System data queries
- MCP / API tool calls
Beyond answering questions, agents can call tools, operate systems, and drive workflows so they actually take part in handling work.
Government AI starts with security
From models, data, and knowledge to agent execution, a full-chain security system covering runtime, access, permissions, content, and audit.
- Local runtime
- Data stays local
- Controlled access
- Controlled calls
- Traceable content
- Full audit trail
Private deployment
Models, knowledge, applications, and data all run in the customer local environment
Sensitive data never goes to the public internet; AI runs in a closed loop inside the organization.
Data stays on premises
The model stays where the data is
Business materials, meeting recordings, and knowledge are all processed on premises.
Agent security gateway
What an agent can do is decided by the organization
Control what agents can access·call·execute.
Knowledge security domains
Who can see which knowledge
Knowledge circulates and is used only within authorized scope.
Knowledge provenance
Every important sentence the AI writes has a source
Know the answer, and know where it came from.
End-to-end monitoring
Every agent step is inspectable end to end
Every access, call, and execution is inspectable, auditable, and attributable.
Build a government knowledge hub AI can trust
Collect, govern, authorize, and apply knowledge from documents, policies, meetings, and business systems.
Collect
Gather internal and external knowledge from many sources
- Word documents
- PDF / OFD documents
- Images / scans
- System data
- Historical documents / archives
- Business-system data
Govern
Structure knowledge so it is higher quality and more usable
- Classification system
- Tag management
- Intelligent chunking
- Knowledge-graph construction
- Version management
- Quality assessment and deduplication
Secure
Fine-grained control to keep knowledge compliant
- Classification levels
- Department permissions
- Person / role permissions
- File-level access control
- Agent knowledge authorization
- Knowledge sharing / authorization
Apply
Call knowledge on demand to serve business scenes
- Intelligent search
- Knowledge Q&A
- Document drafting
- Intelligent routing
- Document review
- Business agents
The goal is not for the model to know more, but to know only what it should.
Solve office work today and power more government AI tomorrow
Move from immediate deployment to continuous evolution in three steps.
Ready on day one
Preloaded document, meeting, and workflow agents ready to deploy.
- Document agent
- Meeting agent
- Workflow agent
- Ready-to-deploy

Continuously extensible
Create and extend business agents with no-code visual orchestration.
- No-code configuration
- Visual orchestration
- Multi-system integration
- New-scene expansion

Learns the business
Feedback, knowledge, and experience keep agents closer to the work.
- Feedback capture
- Knowledge accumulation
- Experience learning
- Continuous improvement

One appliance is not a one-off project; it is lasting infrastructure for government AI.
Hardware forms for every government AI scenario
From personal assistants to team collaboration and department-scale AI, Domestic-IT and high-performance routes share one government security baseline.
Product forms
- Fully domestic
- Private deployment
- Sovereign control
Built on domestic CPU + domestic GPU. Model inference, knowledge, agents, and security all run privately, for government intranets, domestic-IT environments, and sensitive data.
Domestic IT · Team Collaboration
Domestic CPU + Domestic GPU ×4
~50-person team
- For division / section-level teams
- Common government agents: documents, knowledge Q&A, meeting assistant
- Multiple agents running at the same time
- Unified access to institutional knowledge and business files
- Local inference for domestic large models
- Data stays on the government intranet throughout
- Built-in agent security and access control
Suitable for: Department pilots / office-level AI work / rapid city rollout
Domestic IT · Department Shared
Domestic CPU + Domestic GPU ×8
~100-person team
- For department-level shared AI services
- Higher model concurrency and agent capacity
- Multiple business agents running at the same time
- Unified multi-model deployment and scheduling
- Department-level knowledge bases and permission systems
- Simultaneous multi-user access and collaboration
- Continual expansion of government AI applications
Suitable for: Commissions and bureaus / department AI platform / multi-agent workloads
- High-performance inference
- CUDA ecosystem
- Multi-model support
NVIDIA RTX 5090 GPUs keep government data private and controlled, while running larger models, multimodal models, and more complex agents.
Performance · Team Enhanced
NVIDIA RTX 5090 ×2
~50-person team
- Local inference for high-performance large models
- Supports larger-parameter models and longer context
- Supports document writing, knowledge Q&A, and meeting assistants
- Supports multimodal models and complex Workflow
- Supports multiple agents running in parallel
- Compatible with the mainstream CUDA AI ecosystem
- Fully private deployment
- Data stays local
Suitable for: High-performance AI office / multimodal apps / complex agent scenarios
Performance · Team Flagship
NVIDIA RTX 5090 ×4
~100-person team
- Unified hosting for department-level AI applications
- Higher concurrent model inference
- Supports joint deployment of multiple large models
- Supports collaborative multi-agent operation
- Supports complex Workflow / Agent processes
- Supports multimodal apps including text, voice, and images
- Supports later expansion into more government AI scenarios
- Fully private deployment
Suitable for: Department AI centers / multi-model platforms / high-concurrency agents
- Dedicated compute
- Local knowledge
- Sensitive data
Put large models, a personal knowledge base, and government agents on the desktop for executives, specialist roles, and sensitive work. A truly personal AI assistant. Files stay off the cloud; knowledge never leaves the machine.
Government Personal Assistant · Desktop
Hyper G-BOX
Leaders / specialist roles
- Personal exclusive large model
- Personal knowledge base
- Local file Q&A
- Document drafting and material assistance
- Intelligent meetings and content summaries
- Personal agent
- Local processing of sensitive materials
- Low power, low noise, desktop deployment
Suitable for: Everyday AI office / executive desktop / specialist assistants
Government Personal Assistant · Liquid-cooled Flagship
Hyper G-BOX Liquid
Dedicated high performance
- Dedicated high-performance GPU compute
- Supports larger-parameter models running locally
- Supports multimodal processing for images, speech, and documents
- Supports complex workflows and multi-agent collaboration
- Supports large personal knowledge bases
- Supports long-document and complex material analysis
- Liquid cooling for stable high-load operation
- Data and models all run locally
Suitable for: Complex document analysis / multimodal AI / high-frequency agents / specialist roles
Security stays consistent, whichever hardware you choose
From model access and knowledge calls to agent operations, the full process is manageable, controllable, and auditable.
- Private deployment
- Data stays local
- Agent gateway
- Knowledge permissions
- Knowledge provenance
- End-to-end monitoring

