Microsoft AI Co-Innovation Lab
Accelerate your AI projects with personalized help from our Microsoft Technology Experts.
For any customers/partners looking to implement Microsoft's AI tools, ranging from startups to Fortune 500 companies.
One-week long complimentary, personalized development sprints for engineering teams, tailored for your own project.
Learn what is possible, reduce time to market, benefit from Microsoft's engineering guidance.
Why partner with us?
Artificial Intelligence (AI) is transforming how people, devices, and data interact in every sphere of life.
However, the pace of change is exponential. Organizations may struggle to spot the latest technologies quickly, or they may miss important pieces to build their own ecosystem. These obstacles make it impossible to develop and commercialize their potential in the market.
Ultimately, our goal is to help you unlock your AI transformation and evolve your products, services, and business in Microsoft Cloud.
How we co-innovate
Our AI experts collaborate directly with your team in rapid prototyping engagements where we determine your technical requirements and build a working prototype to accelerate your journey to deployment. We also provide upskilling in Azure and AI to make sure your team is ready to move toward production.
Some engagements require an initial design thinking session where we help refine your use case and ensure we have the right solution architecture to build from.
Experience only Lab around the globe
Lab Locations
Microsoft AI Co-Innovation Lab is located in Kobe, Japan, the important international trade port and industrial city.
Microsoft AI Co-Innovation Lab offer you access and facilities to build, develop, prototype, and test your solutions for your market.
Our experts are here to help
Program Managers
You will organize your client's challenges and objectives, and lead the optimal program design and project implementation.
Your role will involve managing the progress of the entire lab, coordinating with stakeholders, and accompanying them in achieving results.
AI engineer
We are responsible for designing, developing, and evaluating AI models, and we will shape the PoC while assessing their technical feasibility.
It plays a central role in AI technologies, including generative AI, machine learning, and data utilization.
cloud engineer
Responsible for the design, construction, and optimization of cloud infrastructure, primarily Azure.
AI Supports the infrastructure that enables systems to operate safely and scalably.
software engineer
Responsible for application development and system integration, and we are responsible for incorporating AI into actual products and business operations.
We support value creation from the implementation side, including UI/UX, API, and backend.
Apply and Join the Lab in 4 steps
Discover how joining one of Microsoft's state-of-the-art lab facilities and program can help your development team build skills, overcome problems and reach goals faster.
Fill out an application
Streamlined Onboarding: A 2-3 Week Journey
Schedule and design the sprint
Go through the sprint with your team (1 week)
Supported Technologies
AI & Machine Learning
Enterprise-grade AI and machine learning services
Data Analytics
Services for big data and real-time analytics
Application Development
Tools and services for building modern applications
Case Studies
AI Quality Inspection in Manufacturing
A leading manufacturer automated production line quality inspection using Azure OpenAI Service and Computer Vision. Reduced inspection time by 80% and improved defect detection rate to 95%.
Demand Forecasting System for Retail
A major retail chain built a demand forecasting model using Azure Machine Learning. Optimized inventory, reducing annual costs by 30% and lost sales opportunities by 25%.
Document Processing Automation for Finance
A financial institution implemented Azure AI Document Intelligence to automate contract and application processing. Reduced processing time by 70% and significantly decreased human errors.
Demand Forecasting System for Retail
A major retail chain built a demand forecasting model using Azure Machine Learning. Optimized inventory, reducing annual costs by 30% and lost sales opportunities by 25%.
Join Microsoft AI Co-Innovation Lab today!
Apply now to get the opportunity to co-engineer your solutions with Microsoft Technology Experts.