From Q&A to execution
A large language model is good at answering; only an agent can call systems and complete multi-step tasks. Turning answers into actions is the real source of business value.
AI Agents
Enterprise-grade trusted AI agents
Centred on trusted AI and large language models, we connect LLM capability to real business operations: an agent platform that is orchestratable, traceable and deployable on your own premises.
Why Agents
From answering to executing
Large language models have solved answering; what enterprises need is executing. An agent connects model capability into systems and processes — that is what truly crosses the gap from demo to production.
From general to domain-specific
A general model does not understand your business. Only after enterprise data, terminology and rules are connected can answers be considered usable and ready to deploy.
From black box to trustworthy
Traceable, auditable and able to refuse — only then can it go into production. Trust is not an add-on; it is the entry ticket for an agent to go live.
Core Capabilities
Core capabilities
From orchestration and knowledge to tools, trustworthiness and deployment, together these form a set of enterprise agent capabilities that can be delivered and operated.
Agent orchestration and multi-agent collaboration
Visual orchestration and division of labour across multiple agents, with planning, execution, reflection and review linked end to end.
Enterprise knowledge base and RAG retrieval
Document parsing, vector retrieval and citation tracing, so that answers are backed by evidence and traceable to the source text.
Tool calling and workflow automation
Internal systems, databases and existing APIs are wrapped as tools and invoked automatically by the agent along the workflow.
Trustworthy and explainable
Hallucination suppression, confidence scoring, full-process audit logs and human review, continuing the company's strengths in the stability and explainability of trusted AI.
On-premise deployment and xinchuang adaptation
Supports on-premise and xinchuang environment deployment, adapted to domestic operating systems, domestic computing power and the Cangjie technology stack.
Multi-model access and routing
Unified access to mainstream and open-source large models, with intelligent routing and fallback according to cost, latency and compliance requirements.
Industry Scenarios
Industry agent scenarios
Only by putting an agent inside a concrete industry process can you tell whether it is truly usable. These are a few directions we have already begun to explore.
Smart manufacturing and factory process agents
Connected to production line data and work-order systems, assisting with scheduling, anomaly tracing and process parameter tuning.
Ask about this scenarioMedical imaging and report assistance agents
Combining medical imaging models with structured records to help produce preliminary reports that can be reviewed.
Ask about this scenarioNew energy operations and data analysis agents
Gathering equipment operating data to support fault warnings, generation attribution and Q&A over operations knowledge.
Ask about this scenarioGovernment and xinchuang office agents
Handling document retrieval, policy Q&A and procedure guidance within a xinchuang environment.
Ask about this scenarioCross-border e-commerce and smart logistics agents
Fusing order, logistics and customer-service data to handle parcel tracking and exception cases in cross-border shipping automatically.
Ask about this scenarioResearch and bioinformatics agents
Aimed at sequence analysis and literature review, helping researchers complete repetitive search and collation work.
Ask about this scenarioTechnical Architecture
Technical architecture
Five layers from bottom to top, reusing the company's existing engineering assets: the microservice platform, the software framework and trusted AI models.
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Access layer
A unified entry point for web, mobile and internal systems, reusing the gRPC and HTTP/2 microservice platform to enable cross-language interface calls and fast integration with business systems written in different languages.
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Agent orchestration layer
Responsible for planning, tool calling, reflection and review, and for coordinating the division of labour across multiple agents; the orchestration logic is decoupled in the same way as the MVC software framework, making it easy to replace and test.
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Model layer
Carries trusted AI models and large language models, completing model routing and fallback according to cost, latency and compliance requirements.
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Knowledge layer
Made up of the vector store and the enterprise knowledge base, responsible for document parsing, retrieval augmentation and citation tracing, providing traceable evidence for answers.
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Data and security layer
Unified management of data access, permissions, auditing and masking, supporting on-premise and xinchuang environment deployment and adapting to domestic operating systems and domestic computing power.
Delivery and Implementation
Delivery and implementation path
We advance in small steps, scenario by scenario, with verifiable output at every step, so that you avoid a one-off investment that is too heavy.
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Consultation and scenario assessment
We map out your business processes and data landscape, judge which steps are suited to an agent, and propose a feasible scenario list with priorities.
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POC validation
We pick one high-value scenario to build a prototype quickly, and validate on real data whether the results, cost and risk meet expectations.
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Pilot rollout
Within a controlled scope we complete system integration and permission access, together with auditing and human review, so that the agent can first run steadily.
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Scaling and continuous tuning
The work is consolidated into a reusable library of agents and tools, extended to more scenarios, and continuously tuned against operating data.
Why JieBoSoft
Why choose JieBoSoft
We combine research depth in trusted AI with engineering capability across domestic software and hardware — the prerequisite for actually delivering an agent.
Research group at Jiangnan University's School of AI and Computer Science
Backed by the research group at Jiangnan University's School of Artificial Intelligence and Computer Science, we combine industry and academia, turning frontier research into deliverable engineering capability.
Core members from Huawei's Cangjie language team
Our core members come from Huawei's Cangjie language team, with hands-on experience in programming languages and foundational software, and an understanding of the engineering constraints at the root-technology level.
Full-stack domestic adaptation
Full-stack adaptation covering Cangjie, domestic operating systems and domestic computing power, supporting on-premise deployment of agents in xinchuang environments.
Research depth in trusted AI
Long-term research in stability, explainability, privacy protection and fairness, providing the methodological support for trustworthy agents.
Contact
Book a technical consultation
Want to know how an agent can connect to your business? Call +86 159 9628 0275 or email eric@jiebosoft.com, and we will arrange a technical consultation.