01
SpeedFocus sooner
Reduce repetitive exploration and clarify the problem and priority routes sooner.
A clearer R&D processAI × TRIZ · ENTERPRISE INNOVATION
Turn R&D challenges
into innovation
that works.
Combine AI, TRIZ and expert experience to advance R&D, develop your team and build patent portfolios. Turn real challenges into outputs you can review, validate and reuse.
Real challengesHuman–AI co-creationActionable outcomes
IN PRACTICEInnovation shaped by real R&D practice.
THE METHODOLOGYAITRIZ
Innovation Principles
in the Age of AI
CROSS-INDUSTRY PRACTICE100+
Enterprises in practice
EXPERIENCE IN ENTERPRISE R&DExplore on-site evidence ↗
KUKASchneider ElectricInfineonSUPORANTANIVEA
01 / VALUE IN R&D
Make innovation count
in every R&D decision.
Build capability in speed, ambition,
depth and breadth.
02
AmbitionAim beyond trade-offs
Challenge familiar trade-offs and explore ways to meet critical performance and constraint requirements.
More valuable innovation goals03
DepthGet to root causes
Connect functions, causes and system constraints so solutions rest on a sound problem analysis.
Stronger decision support04
BreadthExplore across disciplines
Use AI-assisted knowledge exploration and functional transfer to investigate alternative routes and combinations.
More routes to compare02 / SERVICES & SOLUTIONS
Two core services.
Built for enterprise innovation.
Build capability through real projects.
Extend it with tailored innovation agents.
01LEARNING THROUGH REAL PROJECTS
AITRIZ practical bootcamps
Work on real challenges. Build a capability your team can reuse.
Select challenges before the program, learn and co-create during it, then consolidate the methods through review and follow-up.
02INNOVATION AGENTS
Custom innovation agents & deployment
Bring structured innovation into everyday R&D.
Embed problem analysis, solution reasoning and patent opportunity identification into agent workflows, with subscriptions, guidance and local deployment assessment.
SIX APPLICATION AREAS
Six areas of enterprise innovation
Across the innovation value chain, supported by patent and efficiency capabilities.
01
See the opportunity before committing resources.
Connect technology evolution with business goals to identify promising opportunities and R&D priorities.
TYPICAL OUTPUTSTechnology roadmap / Innovation opportunity map
03 / PROOF IN PRACTICE
Real practice.
Evidence you can see.
Training and innovation practice across industries,
connecting methods, people and real challenges.
Schneider Electric
Enterprise innovation training and team practice
Midea / KUKA
TRIZ training practice at KUKA China
Infineon Technologies
Innovation methods for engineering teams
ANTA Group
AITRIZ technology innovation bootcamp
SUPOR
Co-creation with enterprise challenges and teams
NIVEA
Innovation methods and team practice
Photos from AITRIZ project documentation show training and innovation practice at the named enterprises.
From project outputs to continued team use.
Track progress with clear metrics; decide next steps through review and validation.
Turn collective insight into candidate solutions.
187Ideas generated
59Initially feasible concepts
48Patent opportunities
Extend innovation methods into daily work.
84Users
2,400+Historical calls
Historical project records. Ideas, initial feasibility assessments and patent opportunities are distinct from validated engineering outcomes, financial returns or granted patents. User and call counts indicate usage.
Feedback from R&D and innovation leadersFROM PROJECT MATERIALS
AITRIZ provides engineers with a framework for forward development, together with innovation processes, methods and tools.
The AITRIZ practical bootcamp helps me bring the theory, tools and methods back to my team.
Solving real problems gives us greater confidence to take on future challenges.
04 / THE AITRIZ APPROACH
AI expands possibilities.
TRIZ structures the path.
AI breadth × TRIZ structure × expert judgment,
from problem analysis to solution validation.
01 / 03
Turn complex symptoms into a well-defined problem.
Calibrate targets and system boundaries. Analyze functions, causes and contradictions to identify what actually needs to be solved.
Targets & constraintsFunctions & causesCritical contradictions
STAGE OUTPUTSProblem definition · Key problem list
CAPABILITY BUILT THROUGHOUT
Project practice → Method documentation → Team reuse → Continued innovation
Sam Zhang张彬彬 · Founder of AITRIZ
PRACTITIONER · AUTHOR · INNOVATOR
05 / FOUNDER & EXPERTISE
Innovation expertise.
Grounded in enterprise R&D.
Founder of AITRIZ® · CEO
TRIZ Level 4 Expert · National Patent Information Practice Professional · Patent Agent
Senior advisor in enterprise innovation and AI applications, and creator of the AITRIZ® methodology. Two decades of professional practice across technology planning, R&D problem-solving, AI-assisted innovation and intellectual property.
PROFESSIONAL APPOINTMENTS & EXPERIENCEAppointed think-tank expert, Shanghai Technology ExchangeVice-chair, International R&D Methodology Association
Selected experience
Midea Group / KUKA ChinaMidea’s first senior innovation expert; led R&D innovation processes and IP roadmap planning and implementation.
Chofn Intellectual PropertyFormer chief TRIZ expert, with practice across technical innovation and patent strategy.
Tan Kah Kee Innovation Laboratory / Xiamen UniversityFormer head of the laboratory’s IP office and associate researcher at the university’s energy research institute.
20Years of innovation & IP practice
60+Granted patents as inventor
1,000+Patents cultivated & planned
Cumulative professional practice, also including leadership of 60+ technical assessment and patent analysis reports.
上海粹思智能科技有限公司 · Shanghai, China
AITRIZ brings together methods, innovation agents and expert co-creation around real R&D challenges, helping enterprises develop a repeatable innovation capability.
THE AITRIZ METHODOLOGYChina Machine Press · Chinese-language edition
China Machine Press · Chinese-language edition06 / THE BOOK
From experience to method.
From method to shared capability.
AITRIZ: Innovation Principles
in the Age of Artificial Intelligence
A systematic approach to combining AI and TRIZ: from problem analysis and solution generation to implementation and patent protection. The book translates enterprise practice into methods engineering teams can understand, apply and reuse.
- Systematic analysis: from symptoms to key problems
- Human–AI co-creation: cross-domain insights and structured reasoning
- Implementation focus: validation, team capability and patent portfolios
Published in Chinese. Explore its AI × TRIZ approach alongside enterprise practice.
Public talks & professional exchange
LINKS TO INSTITUTIONAL SOURCESBEFORE WE START
Before we begin.
Clarify the goal and scope,
then start a focused conversation.
What challenges are suitable for AITRIZ?
Challenges with a clear target but an uncertain route, performance or cost bottlenecks, a need for cross-domain alternatives, or an opportunity to coordinate R&D with patent planning. Start with a non-confidential description of targets, current solutions, constraints and prior attempts.
How do bootcamps and innovation agents work together?
Bootcamps help teams learn innovation methods and develop solutions through real projects. Custom innovation agents extend structured analysis and solution reasoning into everyday R&D. Choose a bootcamp, agent application or a combined engagement according to project goals, team readiness and data requirements.
Can the agents be deployed locally?
Local deployment can be assessed. We first confirm model reasoning needs, computing resources, data requirements, user numbers and operational conditions, then agree on scope, architecture and implementation boundaries.
How are outcomes, confidentiality and IP handled?
Agree on inputs, deliverables, review criteria and ownership before starting. Engineering outcomes require simulation or testing; patent opportunities require search, assessment and the appropriate application process. For confidential projects, establish data use, access and deployment arrangements first.
LET'S CREATE WHAT'S NEXT
Your next breakthrough
starts with a real challenge.
Let’s clarify your targets, constraints and challenges,
then explore the right co-creation and validation approach.
Sam Zhang / 张彬彬老师Founder, AITRIZ · CEO
PHONE / WECHAT+86 138 0602 7243
Based in Shanghai · Working with enterprise R&D and innovation teams