Full-Stack AI,
Driving Enterprise Intelligence

With 10+ years of custom software development, we have upgraded into a full-stack AI integrator. From infrastructure to industry applications, we provide a four-layer stack: Infrastructure → Foundation Models → Agents → Industry Solutions.
200+Projects Delivered
10+Years of SW Engineering
50+AI Industry Scenarios
98%Customer Satisfaction

Enterprise AI LLM Solution Architecture

Product Solutions➔Industry Solutions➔Delivery Layer➔LLMOps Platform

Enterprise AI LLM Solution Architecture

Application Layer • Delivery Layer • LLMOps Platform
— Company Solutions (PRODUCT SOLUTIONS)
Data Middle Platform
Cross-domain data co-building and sharing platform
OMS Order Management
Intelligent Order Management Platform
WMS Warehouse Management
Global end-to-end smart warehouse platform
TMS Transport Dispatch
Intelligent transportation and supply-chain dispatch
CRM Customer Relationship
Full-lifecycle customer operation and marketing platform
AI intelligent customer service
AI instant messaging
— Industry Solutions (INDUSTRY SOLUTIONS)
Smart Manufacturing
Visual inspection, process knowledge base
E-commerce & Retail
Auto product info, smart customer service
Finance
Risk-control auditing, smart customer service
New Energy
Battery safety, material design, grid scheduling
Education
Personalized writing, real-time results
Healthcare
Smart medical record search, imaging diagnosis
— Delivery Layer (DELIVERY LAYER)
Model-as-a-Service (MaaS) - RESTful API - SDK Integration - Webhook
— LLMOPS Multimodal Platform (PLATFORM LAYER)
AI Multi-Modal Development Platform
AgentProgramming & Runtime
WorkflowWorkflow Engine
Private VectorKnowledge Base (RAG)
Private Multimodal LLM
Open-source LLM Unified Access (Model Gateway)
Data Engineering
Sampling & Filter
Annotation
Cleaning & Masking
Augmentation
Quality Analysis
Model Fine-tuning
Instruction Tuning
LoRA / QLoRA
RLHF / DPO
Training Monitor
Model Mgmt & Eval
Version Mgmt
A/B Test
Quantization
A/B Test
Diagnostics
Inference Service
Online Inference
Multi-tenant
Long-term Memory
Prompt Playground
Routing
Multimodal & Tools
Function Calling
Vision LLM
Audio/TTS
Language LLM
Video Understanding
Core Capability / Industry
Ecosystem Solutions
Platform Modules
LLMOps Platform
Our StrengthFull-stack custom dev · Complex system integration · Agile delivery
➔
Our VisionAI Solution Provider · Full-stack Intelligence · End-to-End

End-to-End AI Capability Stack

A bottom-up technology stack where every layer ships independently and combines flexibly to meet enterprise AI needs at every stage.

GPU Compute Cluster

NVIDIA A100/H100 HPC GPU cluster for large-scale training and high-concurrency inference.

Data Storage & Governance

PB-scale distributed storage, data lake & ETL pipelines.

Containerization & DevOps

K8s clusters, CI/CD pipelines, IaC for AI app deployment.

Security & Compliance

Compliance, data masking, access control & audit logs.

High-Speed Network

InfiniBand/RDMA for distributed training nodes.

Monitoring & Observability

Full-stack monitoring, GPU tracking, alerting, log analysis.

Deep Industry Scenarios

End-to-end AI solutions for high-value scenarios in manufacturing, finance, and healthcare

Smart Warehouse, Zero-error Ops

AI vision + smart scheduling for auto location, palletizing, anomaly prediction.

99.9%Inbound/Outbound Accuracy

Smart Patrol, 24/7 Guarding

Drones + AI cameras for autonomous 24/7 patrol, automatic violation/fire/fault detection.

80%Response Improvement

Smart QC, High-precision

Deep-learning defect detection in milliseconds, micron-level precision.

99.8%Defect Detection Rate
— TECHNICAL DEPTH —

Tech Moat

Solid technical depth, building sustainable smart competitiveness

01

Full-stack Engineering Team

Algorithm engineers, MLOps, backend/frontend, data engineers, PMs work in concert for compact weekly delivery.

02

In-house vs Open-source Selection

No single-bet. Flexible choice between in-house and OSS based on cost-benefit, avoiding vendor lock-in.

03

On-premise & Hybrid Deployment

On-premise, hybrid cloud, edge deployment modes for data sovereignty, low latency, high availability.

04

Continuous Iteration & MLOps

Delivery is not the end—model monitoring, data flywheel, retraining, upgrades for ongoing value.

Overall AI Delivery Maturity

AI Infrastructure Setup
LLM Fine-tuning & Deployment
Agent Platform Development
Industry Solutions Delivery
System Integration & Custom Dev
Overall AI Delivery Maturity92%
On-time Project Delivery96%
Production Stability99.5%
— DELIVERY METHODOLOGY —

Standardized Delivery System

Four-tier roles + standardized process nodes + unified toolset, guaranteeing 100% on-time delivery

Requirement Diagnosis

Business research, scenario evaluation, ROI analysis, feasibility

POC Validation

2-4 week rapid prototype to validate feasibility and value

Engineering Dev

Model training, Agent building, system integration, optimization

Launch & Deploy

Gradual rollout, stress test, security audit, ops handover

Continuous Operations

Effect monitoring, model iteration, knowledge updates, scaling