Top Tech Startups in Winnipeg, Canada in 2026

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world. Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind. You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Farmers Business Network connects farmers and their data through our independent agronomic network. We seek to improve the livelihood of farmers by making their data useful and accessible. Farmers Business Network (FBN) provide farmers with product performance, yield analysis, yield benchmarking and predictive analytics based on real world performance data from thousands of fields. FBN utilizes data science and machine learning to provide members with insights about each of their fields, powered by billions of data points from our network.

QstudyAI is an AI learning platform built for university students. It turns lecture slides, readings, and notes into practice questions, summaries, and study plans, so students spend less time organizing material and more time actually learning it. Over 1,500 students across more than 30 universities use it today on iOS, Android, and the web.

PolarGrid is redefining AI inference at the edge, deploying GPU-powered servers closer to users for ultra-low latency AI execution.