Glint AI Studio

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
01

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.
02

Data stays on premises

The model stays where the data is

Business materials, meeting recordings, and knowledge are all processed on premises.
03

Agent security gateway

What an agent can do is decided by the organization

Control what agents can access·call·execute.
04

Knowledge security domains

Who can see which knowledge

Knowledge circulates and is used only within authorized scope.
05

Knowledge provenance

Every important sentence the AI writes has a source

Know the answer, and know where it came from.
06

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.

01

Ready on day one

Preloaded document, meeting, and workflow agents ready to deploy.

  • Document agent
  • Meeting agent
  • Workflow agent
  • Ready-to-deploy
02

Continuously extensible

Create and extend business agents with no-code visual orchestration.

  • No-code configuration
  • Visual orchestration
  • Multi-system integration
  • New-scene expansion
03

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

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
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