SineFlow / Enterprise intelligence
Your AI colleague team.
Connected end to end.
Three layers. One connected system.
Decision & Strategy Layer
The enterprise's cerebral cortex: Enterprise Self-Awareness Engine, Task Supervision, Strategy Advisory
Agent Execution Layer
The enterprise's hands: Editor, Decorator, Auditor, Trend Hunter, Ops Manager, Proposal Engine, Code Gen
Knowledge & Data Layer
The enterprise's memory: Neo4j Knowledge Graph, PostgreSQL+pgvector, MinIO, Glossary, Hardware Knowledge Base
Intelligence across the operation
Knowledge Base
Multi-source ingestion (AES/DAFx/IEEE), terminology standardization, multi-source cross-validation, Neo4j knowledge graph.
Autonomous Content Pipeline
Trend monitoring, topic approval, content generation (bread principle), fact-checking (triple validation), omnichannel publishing.
Developer Enablement
SineKniter integration, product definition generation, proposal engine (architecture diagram + BOM + competitor analysis).
Enterprise Self-Awareness Engine
Stores mission/values/business boundaries/competitive position. All agents must check before making decisions.
Task Supervision
Unified state machine, timeout/error rate/resource conflict alerting.
Strategy Advisory
Continuous monitoring of trends + competitors + regulations, automatically generates strategy proposals for management.
From a signal to a completed task
Content Auto-Production
- 01
Trend Hunter
- 02
Editor Approval
- 03
Decorator Gen
- 04
Auditor Check (≥90 auto-pass)
- 05
Ops Manager Publish
- 06
Data Feedback
Product Reverse Definition
- 01
Input Competitor Model
- 02
Public Data Analysis
- 03
Tech Matching
- 04
Knowledge Base Search
- 05
Generate Sine Proposal
- 06
Human Confirm
- 07
Save to Product DB
Enterprise Strategy Loop
- 01
Multi-source Intel
- 02
Anomaly Detection
- 03
Cross-analysis
- 04
Strategy Proposal
- 05
Management Approval
- 06
Update Awareness Engine
- 07
Sync Agents
Human Escalation
- 01
AI Faces Dilemma
- 02
Pause Pipeline
- 03
Send Context to Human
- 04
WeChat Reply 'Approve/Adjust/Reject'
- 05
AI Resumes
Human judgment stays in the loop
CEO
Major strategy adjustments
Chief AI Governance Officer
Does the topic align with long-term strategy?
Technical Arbitrator
Which paper conclusion to trust when they conflict?
System Administrator
Receive system anomaly alerts
Goal: AI-to-human escalations drop from 5-10/day to 0-2/day within 6 months.
Built for private deployment
AI Models
DeepSeek Flash (High Concurrency) + DeepSeek Pro (Strong Reasoning), vLLM local deployment
Knowledge Graph
Neo4j (Entity Relations) + PostgreSQL+pgvector (Structured+Vector) + MinIO (Object Storage)
Backend
FastAPI Microservices Cluster (5 services)
Frontend
Next.js 14+
Monitoring
Prometheus + Grafana + Loki
Deployment
Docker Compose → K3s, Private Cloud, Data sovereignty
Patent portfolio
| ID | Domain | Status |
|---|---|---|
| P2025001 | Multi-Agent Knowledge Routing | Pending |
| P2025002 | Cross-Validation Hallucination Mitigation | Pending |
| P2025003 | Self-Awareness Strategy Alignment | Pending |
| P2025004 | Audio Knowledge Graph Embedding | Pending |
| P2025005 | Hardware BOM Generation | Pending |
| P2025006 | Continuous Compliance Monitoring | Pending |
| P2025007 | Human-in-the-loop State Machine | Pending |
| P2025008 | Acoustic Param Extractor | Pending |
SineMedia · Build what comes next
Connect intelligence to your workflow.
Discuss knowledge integration, agent orchestration and private deployment with the SineMedia team.