Shanghai YBBE Network Technology Co., Ltd. (YBBE TECH) focuses on AI applications and enterprise software development. We combine LLMs, RAG, AI agents, and business-specific engineering to help companies complete the full path from product planning and interaction design to system development, private deployment, and post-launch operations.
No inflated promises and no concept hype. We focus on clear communication, clean code, and long-term maintainability for a grounded delivery experience.
You may only have a business idea and still be unsure what LLMs can realistically do or what infrastructure is needed.
Calling public APIs directly often leads to hallucinations and cannot deeply integrate with your internal documents and databases.
Long outsourcing cycles and low transparency often make it hard to see progress before final handover.
After go-live, occasional errors or new minor features can become a problem if no one supports the system.
Focused on real business scenarios, from model tuning and knowledge systems to full-stack software delivery.
Build reliable and usable AI assistants tailored to vertical business processes on top of open-source LLMs.
Custom visual AI for industrial inspection and security scenarios, with lightweight real-time inference at the edge.
Complex document extraction, contract comparison, and multimodal content structuring for enterprise workflows.
Integrated development covering proprietary data cleaning, instruction-set building, and custom web or mobile workbench delivery.
Click any card to view the business problem, implementation approach, and delivery outcome recap.
Custom-built for logistics operations, this dispatch agent combines live traffic and inventory conditions to help operators make fast and practical replenishment decisions.
For tiny scratches and foreign defects on part surfaces, we deployed lightweight YOLO-based acceleration on industrial edge hardware to support stable continuous inspection.
The system connects hundreds of thousands of research reports, compares forecasts and core assumptions in seconds, and highlights exact source paragraphs to reduce hallucinations.
The system identifies asymmetric clauses, liability gaps, and payment-cycle risks, then marks the relevant paragraphs and produces revision suggestions for legal teams.
Follow the latest progress in LLM fine-tuning, GraphRAG knowledge architectures, and 120 FPS edge vision deployment.
A practical breakdown of DeepSeek-V4-Pro-0813, GRPO-v2 alignment, and Flash-MLA memory compression for production deployment.
Combining Neo4j community detection and Milvus 2.4 to build enterprise knowledge brains with pixel-level source traceability.
Battery coating and semiconductor inspection are shifting toward unsupervised zero-shot workflows, with TensorRT 10 INT8 reaching single-frame latency below 8.3ms.
A grounded engineering style keeps software delivery clear, transparent, and maintainable.
No distortion from non-technical sales layers. Core builders speak with you directly and assess feasibility with fewer detours.
We iterate in visible phases and regularly provide runnable versions for confirmation, so the project stays understandable at every step.
After acceptance, we hand over complete source code, deployment assets, and technical docs, backed by 12 months of ongoing support.
A disciplined engineering process ensures each phase has clear outputs and acceptance criteria.
Skip the sales relay and long forms. Our core engineers can directly assess technical feasibility, infrastructure choices, and delivery schedules with you.
