Intelligent software engineering and R&D efficiency consulting is dedicated to providing empowering support through large model-driven software engineering frameworks, processes, tools, and methodologies. Guided by the "Five-Level Intelligent Software Development Reference Framework," from "intelligent code generation" to "intelligent software engineering," we help enterprises establish and improve software R&D management systems, rapidly enhance software R&D efficiency and process maturity in the AI era, and achieve intelligent transformation from "experience-driven" to "model-driven."

Typical CaseExample #1： AI-Assisted R&D Performance Enhancement Project for Telecommunications Equipment Platform SoftwareExample #2： AI-Assisted R&D Performance Improvement for a Research Institute

In the lifecycle of large-scale software systems, enterprises often face challenges such as architecture decay that hinders scalability, the accumulation of technical debt that slows down development cycles, and poor coupling that fails to support business growth. Our "Software Architecture Design & Refactoring" service addresses these issues directly. Guided by the client's business requirements and grounded in key architectural technologies, we provide comprehensive, full-stack technical architecture solutions and consulting across the entire spectrum, from Domain-Driven Design (DDD) to component-based architecture, from architectural styles to quality assurance reviews, and from core design principles to performance optimization.

Typical CaseExample #1： Decoupling and Configuration Modeling for a Smart Vehicle Control PlatformExample #2： Architecture Refactoring for a Major IT Platform

When businesses expand, they often face critical performance issues: slowing systems, spiraling resource costs, and instability during peak demand. Our “System Software Performance Engineering & Optimization” service addresses this by systematically building performance into your processes, pinpointing software and hardware bottlenecks, and implementing end-to-end optimization strategies. The goal is to boost the performance and resource efficiency of large-scale systems comprehensively.

Typical CaseExample #1： Autonomous Driving Software Architecture & Performance Optimization for a Leading Automotive OEMExample #2： Code Refactoring and Performance Optimization for a Major Telecom Company

We offer comprehensive consulting to build and optimize your complete AI software stack, covering key areas such as heterogeneous computing hardware (CPU/GPU/NPU), operator software stack development, AI compiler performance tuning, and AI inference systems and model optimization. Our tailored solutions boost the efficiency of our clients’ AI model inference and hardware execution, helping to construct a robust and scalable foundational AI platform and improving the client’s ability to convert technical capabilities into tangible business value.

Typical CaseExample #1： Optimizing the Operator Development Workflow for a Major AI PlatformExample #2： Optimizing the AI Compiler and Inference Stack for a Custom NPU

In today's digital landscape, enterprises face escalating security challenges - from system vulnerabilities and supply chain risks to ever-changing compliance demands. Our consulting service provides a comprehensive suite of solutions for the design and implementation of secure and trustworthy systems by leveraging advanced techniques such as vulnerability discovery, attack surface analysis, fuzz testing, security testing, reverse engineering, and malicious code detection.

Typical CaseExample #1： Trustworthy Architecture Evolution Initiative for a Leading Global Systems ProviderExample #2： C++ Code Security Analysis & Enhancement Framework for a Major Tech Firm

LLMs are revolutionizing every industry. By deeply analyzing Large-Model-driven technology architectures and new product innovation paradigms, assessing corporate strategic pain points and core business scenarios, and combining this with a precise understanding of AI technology maturity, we provide solutions that span the entire process from AI strategy planning to successful implementation. Specifically, we help enterprises develop a robust AI strategy framework, define a clear implementation roadmap, and build a measurable value growth model, enabling them to achieve successful strategic transformation and practical execution in the AI era.

Typical CaseExample #1： AI Ecosystem and Application Strategy Consulting for a Major ConglomerateExample #2： AI-Assisted Planning Project for an Architectural Design & Planning Institute