For companies looking to implement Microsoft’s AI cloud and Sony’s imaging and sensing technology

One-week long complimentary, personalized development sprints for engineering teams

Learn what’s possible, reduce time to market, benefit from expert engineering guidance

About the partnership

Sony’s innovative imaging and sensing technology links with Microsoft’s cutting-edge cloud AI services to create a powerful and convenient platform to the smart camera market.

Through this platform, Sony (Sony Semiconductor Solutions Corporation) and Microsoft will support their partners and customers and help them fully utilize this technology, reduce time-to-market and help overcome technological challenges.

Join our labs and benefit from Microsoft’s expertise in providing trusted, enterprise-grade AI and analytics solutions combined with Sony’s established leadership in the image sensor market.

Microsoft’s expertise in providing trusted, enterprise-grade AI and analytics solutions

Sony’s innovative imaging and sensing technology with IMX-500, image sensor with AI processing functionality

Why join Microsoft and Sony Semiconductor Co-Innovation Lab?

We help companies overcome the following challenges:



  • Technology Complexity
  • Expense of Smart Camera HW
  • Increase need for IT infrastructure, networking and storage for AI Solutions
  • Compliance
  • Management & Operational Costs
  • Cost & Time to Develop Solutions
  • Upfront Initial Cost to Consider AI/CV Projects
  • Privacy & Security Concerns
  • Complexities of Updating and Managing HW and Ai Models in Field
  • Expense to Deploy Smart Camera Solutions at Scale

What will you get?

You will work with dedicated developer experts from industry, share feedback with Microsoft’s product groups and collaborate with Microsoft's research.


We can assist in cleaning up your hardware design, help to manufacture small scale hardware runs, debug your drivers, aid with developing supporting applications, and show you how to connect your devices at scale to the cloud. We will even assist you in making sense of machine learning, to develop insights from your data and help with anomaly detection.

Ultimately, our goal is to help you digitally transform your product and your business.

AI & IoT landscape is changing fast.

Lab Locations

Labs are located in Redmond, USA, at the heart of Microsoft’s product group expertise; Shanghai, China, one of the international hubs that drives innovation and empowers the ecosystem and Munich Germany, a hub for European partners.

Microsoft’s AI & IoT Insider Labs offer you access and facilities to build, develop, prototype and test your solutions for your market.


Virtual Labs

Currently, all Labs, except for Shanghai, are run virtually.

We provide convenient and safe virtual engagements. Teams meet in virtual rooms, the sprints are organized with agile methodology including a project planning session, daily stand-ups and side-by-side engineering building sessions.

Virtual Labs: Available anywhere in the world.

Our expert staff is there to help:

Electrical Engineers

Cloud Engineers

Data Scientists

Program Managers

Software Managers

Potential applications:

Accident Alarm

Barcode Reading

Intruder Check

Goggle/Glove

Safety Zone Alarm

Helmet/Mask

Customer Attribute

Queue Status

Core features and benefits

The Azure Machine Learning service empowers developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning. Enterprise-grade machine learning service to build and deploy models faster.

The Speech service is the unification of speech-to-text, text-to-speech, and speech-translation into a single Azure subscription. It's easy to speech enable your applications, tools, and devices with the Speech CLI, Speech SDK, Speech Devices SDK, Speech Studio, or REST APIs.
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding cloud vision capabilities in your apps with Computer Vision, part of Azure Cognitive Services. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people's movement in physical spaces. No machine learning expertise is required.
Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own image identifiers. An image identifier applies labels (which represent classes or objects) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels and train custom models to detect them.
The Text Analytics API is a cloud-based service that provides Natural Language Processing (NLP) features for text mining and text analysis, including: sentiment analysis, opinion mining, key phrase extraction, language detection, and named entity recognition.
The Anomaly Detector API enables you to monitor and detect abnormalities in your time series data without having to know machine learning. The Anomaly Detector API's algorithms adapt by automatically identifying and applying the best-fitting models to your data, regardless of industry, scenario, or data volume. Using your time series data, the API determines boundaries for anomaly detection, expected values, and which data points are anomalies.
Language Understanding (LUIS) is a cloud-based conversational AI service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information. QnA Maker is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications.
Azure Form Recognizer is a cognitive service that lets you build automated data processing software using machine learning technology. Identify and extract text, key/value pairs, selection marks, tables, and structure from your documents—the service outputs structured data that includes the relationships in the original file, bounding boxes, confidence and more. You quickly get accurate results that are tailored to your specific content without heavy manual intervention or extensive data science expertise. Use Form Recognizer to automate data entry in your applications and enrich your documents search capabilities.

AI & IoT landscape is changing fast.

Apply and join Insider Labs in 4 steps:

2. Go through a customer onboarding process (3-4 weeks)

3. Schedule and design the sprint

4. Go through the sprint with your team (1 week)

Imaging and sensing technologies are developing fast.

Apply now for Co-Innovation Lab to get the opportunity to co-engineer your solutions with Microsoft and Sony technology experts.