Project Cases

Three real project cases proving enterprise AI digital employees in production.

From automotive R&D testing to patent database search, INNOFAME turns complex work into executable, traceable, reusable intelligent workflows.

Lab car automated AI testing execution interface
CASE 01 · Automotive

Lab Car Automated AI Testing

For traditional bench testing that cannot keep pace with rapid software iteration in 3.0 vehicle architectures.

Overview

Test cases are authored and passed into code-generation AI to produce test code in batches for Lab car automation, improving speed, coverage, and depth.

24xcoding efficiency uplift
~1Mlabor cost savings
HMIrapid scenario adaptation

Results

  • Lowered the technical barrier for automated testing.
  • Supported batch generation and reuse after requirement changes.
  • Reduced coding and testing labor costs.
  • Improved consistency and standardization of test scripts.
End-to-end AI test automation workflow
CASE 02 · Automotive

End-To-End AI Test Automation

Built closed-loop validation for cockpit HMI systems and vehicle lighting integration systems.

Overview

AI automates the full lifecycle from requirements, test cases, scripts, execution, reports, and diagnosis, then expands to vehicle control, smart cockpit, ADAS, and more.

End-to-endrequirement-to-report loop
ToolchainCANalyzer / VST
Multi-scenecockpit, lighting, ADAS

Results

  • Covered the full testing lifecycle and improved validation consistency.
  • Modularized and versioned validation capabilities.
  • Unified database interfaces with hybrid retrieval.
  • Supported real test tools and GUI operations.
  • Integrated AI decision-making with physical execution.
  • Covered HMI infotainment and vehicle lighting scenarios.
CASE 03 · Software

Zhongxiaoxin AI Platform

An intelligent search system based on a Chinese patent database with natural-language Q&A interaction.

Overview

The platform helps users quickly locate R&D personnel or teams, decomposing complex patent research workflows into reusable agent modules.

50%+delivery cycle reduction
Lifecyclebuild, launch, operate
Extensiblenew workflows quickly

Highlights

  • Platform-level full lifecycle delivery from build to launch and operation.
  • Complex patent research workflows decomposed into reusable agent modules.
  • Task scheduling, execution monitoring, and exception handling.
  • Stable high-concurrency operation with observability and traceability.
  • Long-term operations for models, data, and applications.
  • Fast expansion for new research workflows and business capabilities.