Dify, RAGFlow, cloud models, private LLMs, agent frameworks: the right architecture depends on the use case.
Knowledge bases, business systems, access control, APIs, and security requirements all need to work together.
A prototype can work on sample data. Production has real users, messy data, permissions, logs, and uptime requirements.
Training, workflow redesign, and continuous improvement determine whether AI actually gets used.
Identify high-value, frequent, measurable use cases worth validating first.
Choose the right platform, model, deployment model, and security architecture for your environment.
Build agents and workflows with actual documents, systems, and business rules.
Connect knowledge bases, databases, ERP, CRM, OA, Lark/Feishu, WeCom, DingTalk, and other business systems.
Tune quality, permissions, security, logging, performance, and adoption metrics.
Enable teams through workshops, embedded experts, and post-launch iteration.
Prioritize AI opportunities, define measurable outcomes, and plan the implementation roadmap.
Private deployment, hybrid cloud, local LLMs, model gateways, unified access control, and logging.
From MVP prototypes to production-grade agents and workflow automation.
Multi-format parsing, source tracing, permission inheritance, and system integration.
Prompt-injection defense, privacy controls, audit trails, usage monitoring, and risk guardrails.
Connect AI to ERP, CRM, OA, data systems, collaboration tools, and custom business platforms.
Workshops, co-build sessions, and embedded experts who help teams build and operate real use cases.
Production-ready AI use cases for operations, risk, manufacturing, research, and enterprise knowledge work. Start with one high-value workflow, then scale across the organization.
AI products we build and refine in-house, covering contract review, grading, risk control, analytics, translation, knowledge management, and IT operations. Ready to use, customizable, and deployable on-premise.
AI contract review that flags risky clauses, locates them in the source, and generates redlines and review reports
AI all-subject grading for schools and education institutions — full-subject marking, teaching assessment, and on-prem deployment
Enterprise LLM security — real-time detection of jailbreaks, privacy leaks, non-compliant content, and malicious links
Enterprise RAG knowledge base with multi-format parsing, access control, source tracing, and system integration
High-accuracy analytics that turn natural-language questions into reliable queries, charts, and business insights
AI fashion design platform — trend insight, inspiration management, print/style generation, virtual try-on, and tech-pack output
An agent for IT and network operations — unified multi-vendor device access, smart alert aggregation, root-cause analysis, and reusable troubleshooting know-how
Privacy-first AI knowledge management — document Q&A, PDF reading, AI notes, mind maps, and local deployment
Smart enterprise document translation with terminology control, layout preservation, and multilingual and industry documents
From AI platform to business use cases, JOTO has been validated in real enterprise environments.
Industry use cases
AI scenarios and typical results by industry
Research and compliance platforms for funds and securities firms
Quality and knowledge use cases for OEMs and suppliers
Document-intensive use cases across R&D, regulatory, and marketing
Teaching and assessment AI for schools and research institutions
Marketing, service, and operations use cases for brand retail
Compliant delivery for policy, research, and official-document use cases
Platform-neutral by design. We work with leading AI platforms, cloud providers, security vendors, and infrastructure partners to bring enterprise AI into production.
The world's leading LLM app development platform. JOTO delivers Dify Enterprise deployment, migration & upgrades, agent customization, and enterprise training
Next-gen firewalls and enterprise cloud security
Enterprise networking and security infrastructure
Cloud infrastructure and Tongyi model deployment
Cloud infrastructure and Hunyuan model deployment
Global cloud infrastructure and LLM services
Multi-model AI workbench and desktop client
Open-source RAG engine and deep document understanding
Ascend compute and domestic adaptation
From models and knowledge bases to agents and industry practice
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