We recently hosted Werner Vogels, the CTO of Amazon and his team at our Bengaluru facility. During his 2-hour visit, we discussed potential solutions to some of the problems in Warehouse Automation at Amazon using our Object Intelligence stack.

Amazon has touched 550 billion dollars of revenue last year and at its scale, over 500,000 products are added/replaced every month. While Amazon has vastly adopted AMRs with over 750,000 AMRs at Amazon, it is still difficult to scale Robotic Arm deployments and achieve cost-efficiency due to the extensive amount of training it requires to adapt to an ever-changing product catalogue at Amazon.

CynLr and Amazon are collaborating to combine their advancements in AI research. While Amazon has established expertise in machine learning for NLP and warehouse management systems, CynLr focuses on AI for object handling and manipulation through its CLX platform.

This collaboration aims to integrate both companies' strengths to enhance real-time edge-to-cloud computing and optimize cloud computing capabilities. Discussions are centered on leveraging AI to improve both edge and cloud performance, with an immediate focus on real-time applications in edge-to-cloud computing systems.

By uniting our expertise, CynLr and Amazon seek to push the boundaries of AI applications across digital and physical domains.