Full-Stack Enterprise AI Service Capabilities
From underlying data mining to upper-layer agent applications, we provide one-stop AI-transformation capabilities — we understand algorithms, and more importantly, your business and systems.
Six Core Service Capabilities
Centered on AI Agents, supported by underlying data and software capabilities, covering the full chain of enterprise AI transformation.
Custom AI Agent Development
Custom-built autonomous agents that call tools and data for marketing, office, production, customer service and management scenarios — replacing repetitive mental work.
Private LLM Deployment
Closed-loop intranet deployment of mainstream open/closed-source LLMs — data stays in-domain, with permission isolation and sensitive-info filtering for compliance auditing.
RAG Knowledge Base
Distill enterprise documents, policies and business rules into traceable, explainable knowledge Q&A and decision-support systems.
Agent Workflow Operations
Design human-in-the-loop workflows, and build monitoring, evaluation and continuous-evolution mechanisms so agents get smarter the more they are used.
Data Mining & Governance
Multi-source collection, cleansing and desensitization, and visualization — breaking data silos to provide a high-quality corpus foundation for AI.
Custom Software & Integration
Custom business systems seamlessly integrated with existing OA/ERP — no need to rebuild from scratch, protecting prior IT investment.
Generic AI vs Custom Development
Why can't enterprises rely only on generic LLMs? — In 2026, customized Agent solutions already account for 60%+.
Limitations of Generic AI
- Cannot understand enterprise private knowledge and business rules
- Data leaves the domain, touching security & compliance red lines
- Cannot call internal systems and tools
- Outputs are not traceable or auditable
- Blurred ROI, hard to quantify value
Value of Custom Development
- Fuses enterprise-specific data and industry know-how
- Private deployment, data stays in-domain
- Seamless integration with OA/ERP and business tools
- Explainable, auditable, controllable behavior
- Measured by business metrics, clear ROI
Nine-Step Implementation Process
This is not buying a tool, but a systematic project requiring professional expertise
Strategy Diagnosis
Identify business pain points and AI-entry scenarios.
Physical Mapping
Map current business processes and data assets.
Ontology Structure
Build business ontology and knowledge graph.
Data Ledger
Break data silos and build high-quality corpora.
Department Systems
Integrate existing systems and embed departmental intelligence.
Lights-out Mechanism
Establish automation and unattended capabilities.
Planning & Development
Engineer agents and workflows into reality.
Human-in-the-loop
Design human-in-the-loop collaboration.
Continuous Evolution
Monitor and evaluate; iterate models and strategies.
Not sure where to start? Let us help you diagnose
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