Enterprise LLM Application Development
From private domain fine-tuning to production-ready agents

YBBE builds private LLMs, Hybrid RAG knowledge systems, and multi-agent business workflows for enterprises. Models run inside the client network without calling public third-party commercial APIs. 7B–14B models can run on a single RTX 4090. At handover we transfer unencrypted source code as contracted, plus 12 months of free warranty.

Contact R&D for a Tailored Plan

Why Mission-Critical Businesses Require Custom Engineering

Comparing generic public API wrappers vs. YBBE TECH on-premise industrial custom architectures

01
100% Data Sovereignty

Private Isolated Deployment

Models containerized on your local servers or dedicated VPCs. Zero telemetry or data transmission to external commercial APIs.

02
Exact Coordinate Citation

Zero-Hallucination Hybrid RAG

Milvus dense vectors + BM25 sparse search + cross-encoder reranking highlighting exact page numbers and bounding boxes.

03
Business Loop Closure

Multi-Agent Workflow Automation

Evolving from basic Q&A to autonomous agents integrated directly into ERP, CRM, database, and PLC industrial protocols.

04
Extreme Compute ROI

Low-Cost High-Throughput Inference

AWQ 4-bit quantization + vLLM continuous batching enabling a single RTX 4090 to support 30+ concurrent enterprise users.

Architectural Comparison (Public Commercial API vs YBBE Enterprise Custom System)
Evaluation Metric Generic Public API Wrappers YBBE Industrial Custom Systems
Data Privacy & Compliance Sent to 3rd-party cloud servers; high compliance risk ✓ 100% private isolated deployment; 0 byte data leakage
Domain Accuracy & Citation Lacks proprietary context; prone to hallucinations ✓ Hybrid RAG + SFT fine-tuning with highlighted citations
System Loop Integration Isolated text prompt dialogue without action capability ✓ Multi-Agent architecture directly driving ERP/OA/databases
Cost & Asset Ownership Perpetual recurring Token fees; no proprietary asset ✓ Source code & weights fully owned by client as digital assets

YBBE 4-Layer Full-Stack Enterprise LLM Architecture

Each layer is modular and decoupled so private deployments can be customized without black-box lock-in.

04 Presentation & Application Layer
MULTI-CLIENT
Enterprise IM (DingTalk / Feishu / WeCom)
Custom Web / Mobile Workbenches
Embedded OpenAPI Gateway
Ops Monitoring Dashboards
03 Agentic Orchestration Layer
CORE LOGIC
Multi-Agent Task Decomposition & Collaboration
Dynamic Function Calling & Tool Use
Short / Long-Term Memory Management
Safety Guardrails & Sensitive-Content Filters
02 Base Model & Domain Fine-Tuning Layer
ALGORITHM
Open-Source Bases (DeepSeek / Qwen / LLaMA3)
LoRA / QLoRA Domain Fine-Tuning
vLLM / TensorRT-LLM Inference Acceleration
4-bit / 8-bit Quantization Deployment
01 Data Governance & Hybrid RAG Layer
STORAGE & RETRIEVAL
Multi-Format Parsing (PDF / Word / Excel / Audio)
Semantic Chunking with Overlap
Vector Stores (Milvus / PgVector / Qdrant)
BGE-Reranker Semantic Re-ranking

Six Core Delivery Modules

Every module is engineered, tested, and supported for production environments.

01

Private Hybrid RAG Knowledge Brain

Combines BM25 keyword retrieval with dense vector search and reranking to reduce hallucinations and keep source citations clear.

02

Multi-Agent Business Orchestration

Planner, executor, and reviewer agents collaborate to decompose tasks and call enterprise APIs for end-to-end workflows.

03

Domain Model Fine-Tuning (SFT / LoRA)

Instruction tuning and alignment on proprietary terminology and historical conversations so the model understands your business language.

04

Enterprise Guardrails and Access Control

Sensitive-content filters, prompt-injection defense, and RBAC so knowledge access stays compliant across departments and roles.

05

High-Concurrency vLLM Serving

PagedAttention and continuous batching raise throughput, lower first-token latency, and reduce hardware requirements.

06

Practical Ops and Monitoring Dashboard

Built-in runtime monitoring for latency, token usage, user activity, and feedback correction loops.

Production Practice Across 8 Verticals

Deep domain knowledge-base experience and business logic that adapt quickly to different systems.

01

E-commerce & Retail

Multi-turn pre-sales guidance, after-sales ticket routing, product copy generation, and store-level demand forecasting.

Outcome: lower load on support teams and store managers
02

Manufacturing & Industrial Control

Multimodal maintenance Q&A, line troubleshooting assistance, and millisecond-level visual inspection on industrial PCs.

Outcome: faster troubleshooting | fewer unplanned stops
03

Finance & Securities

Cross-report comparison, financial consistency checks, and automated extraction of industry viewpoints.

Outcome: research search and analysis become much faster
04

Legal, Compliance & Contracts

Procurement contract risk review, asymmetric clause detection, and bid-document cross-checking.

Outcome: first-pass review compressed from hours to minutes
05

Healthcare & Diagnostics

Unstructured EMR and lab-slip extraction, clinical pathway guidance, and medical literature search assistants.

Outcome: page extraction drops to seconds | cleaner data entry
06

Cross-Border Trade

24/7 multilingual sales reception, logistics exception handling, and localized social-media copy.

Outcome: fewer language and timezone barriers | faster response
07

Government Services & Hotlines

Citizen-request dispatch, policy knowledge retrieval, and standard document drafting support.

Outcome: higher first-dispatch accuracy | fewer transfer loops
08

Energy & IoT

Battery coating inspection, vibration anomaly prediction, and campus energy optimization.

Outcome: full-speed inspection coverage | earlier anomaly alerts

Six Production Delivery Reviews

Click any card to view the implementation approach and business outcomes.

[Financial RAG Brain]
Hybrid research knowledge base
Finance · Private Knowledge Base

Institutional Research Retrieval and Analysis Platform

Connects hundreds of thousands of research reports, compares core assumptions in milliseconds, and highlights source paragraphs.

View review → RAG Knowledge Brain
[Logistics Multi-Agent]
Trunk routing dispatch agent
Logistics · Agent Workflow

Trunk Logistics Dispatch Decision Agent

Multi-agent collaboration handles weather and warehouse exceptions so dispatchers can rebuild routes quickly.

View review → Multi-Agent
[Contract Risk Auditor]
Procurement clause risk review
Legal Risk Control · Long-Text Tuning

Automated Procurement Contract Risk Review

Detects asymmetric clauses and payment-cycle risks, then marks paragraphs and generates revision comparisons.

View review → Contract Risk Control
[Cross-Border Multilingual AI]
Multilingual sales and after-sales
Cross-Border · Multilingual LLM

Multilingual Customer Support and After-Sales Agent

Supports major languages and links Shopify plus ERP to judge return eligibility automatically.

View review → Support Agent
[Hotline Ticket Dispatch]
Citizen request matching
GovTech · Semantic Classification

Citizen Hotline Request Dispatch Platform

Intent recognition and precise routing for high-volume citizen tickets, reducing wait time between transfers.

View review → Smart Dispatch
[Property Maintenance AI]
Campus Q&A and work-order loop
Smart Campus · Knowledge Q&A

Property and Campus Multi-Channel Work-Order System

Connects WeChat groups and WeCom so repair requests and FAQs are answered automatically and routed to managers.

View review → Work-Order Automation
Confidentiality and IP terms apply. Read the commitment Full source handover and independent iteration supported 12-month free warranty and maintenance

Enterprise AI Feasibility Quick Diagnostic

Answer 3 quick questions and get an instant route suggestion with infrastructure guidance.

Q1. What is your primary AI objective?
Q2. How much proprietary data do you currently have?
Q3. What infrastructure do you have or plan to buy?

Ready to Start an Enterprise AI Project?

Lead engineers will review your requirements one-on-one and provide a practical technical plan plus delivery schedule.

Consult an Engineer Directly

Project Case Review

Client background
Business Pain Points & Technical Challenges

The actual problems and technical bottlenecks before delivery.

Technical Architecture & Implementation

Model selection, algorithms, and engineering pipeline.

Delivery Outcomes

Results achieved in production.

Commercial Data Security & IP Assignment Commitment

Prior to any technical evaluation, we enforce strict compliance with data protection laws:

【Commercial & Technical Data Security Summary】

1. Confidential Information & Data Isolation
Includes client sample data, system interface documents, algorithm requirements, and jointly discussed technical plans. Deployments use strictly isolated private networks, with zero data uploaded to public third-party APIs.

2. Deliverables & Intellectual Property Assignment
Custom source code, fine-tuned Safetensors weights, and Docker scripts are assigned per the technical contract, granting clients full commercialization and independent iteration rights.

3. Bilateral Confidentiality & SLA Warranty
Confidentiality takes effect immediately upon engagement. We back all deliverables with a 12-month free maintenance SLA.
Consult Engineering Team