Top Machine Learning Startups in Toronto, Canada

Fictiv is a Digital Manufacturing Ecosystem that rapidly delivers custom parts on-demand, to help companies accelerate new product introduction. From early-stage companies to large enterprises, thousands of companies use Fictiv to innovate with agility, de-risk their supply chains, and get products to market faster. Fictiv works with companies like Tesla, Honeywell, and NASA to build the next rockets, self-driving cars, and live-saving robots. We're transforming how teams design, develop, and deliver the next generation of hardware products. For more information about Fictiv or to learn about hardware manufacturing best practices, visit fictiv.com

Afresh is on a mission to reduce food waste and increase access to nutritious food globally by transforming the fresh food supply chain. Our AI-powered solutions optimize the multi-trillion-dollar grocery industry's food ordering, production, and merchandising processes. We built the first platform capable of handling all of Fresh food’s complexities. We are relentlessly focused on helping grocers reduce waste, increase profitability, and bring better, fresher food to their communities. Afresh is currently deployed in hundreds of grocery stores across the United States and is on track to reduce 30 million pounds of food waste per year with our existing customers alone. By 2021, we're aiming to reduce food waste by a quarter billion pounds per year. We are a passionate team united by our mission to make an impact. As an Afresh employee, you’ll own meaningful work that will challenge you and change the future of how fresh, nutritious food makes its way through the supply chain. We hope you’ll join us!

Intuition Machines builds enterprise security products using AI/ML. We apply our research to systems that serve hundreds of millions of people, with a team distributed around the world. You are probably familiar with our best-known product, the hCaptcha security suite. Our approach is simple: high agency, small teams, and rapid iteration. Join us as we transform security and machine learning online.

Primate Labs Inc. develops Geekbench, the industry-standard benchmark for desktop systems and mobile devices.

GPTZero is building an internet for humans, by humans. Our goal is to build the verification layer for the world’s information. Our initial launch and call for AI transparency captured the nation’s attention. We’ve been covered on the front page of the NYT, WSJ, WaPo, Fox, NPR, and CNN, 6x on the BBC, and internationally in 30 countries. Our team comes from high-performing engineering cultures, including Uber, Meta, Microsoft, Affirm, and leading AI research labs, including Princeton, Caltech, Vector, and MILA. We are working on novel models and pushing cutting-edge research to production, including AI detection, AI hallucination detection, retrieval augmented generation, and writing stylometry to over 3 million active users, and enterprise clients including Fortune 1000 and Unicorn AI companies. We are backed by some of the best in the valley, including Uncork, Neo, Altman Capital, and in journalism, including Mark Thompson (CEO of NYT, BBC, CNN) and Tom Glocer (CEO of Reuters) who defined a generation of quality digital information. Underneath the headlines, we are a nerdy and fun-loving group looking for people who are passionate about our mission to join us!

EliseAI is an AI startup transforming complex healthcare and housing systems. By deeply integrating into workflows and automating operations, it makes them efficient and cuts costs for all. Its platform supports medical practices with patient scheduling, intake and front-desk operations and helps property managers handle leasing, maintenance and resident engagement. EliseAI replaces fragmented tools with one integrated system that reduces manual work and improves accessibility and experience for residents and patients alike. The company is based in New York with teams in San Francisco, Boston and Chicago. To learn more, visit eliseai.com/careers.

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

FairwAI is building real-time accountability infrastructure to detect bias in the moments that matter most. We’re solving one of the toughest challenges in tech: how to make fairness not just a principle but a system. From healthcare and hiring to hospitality and housing, bias shows up when people are most vulnerable. FairwAI turns those moments into measurable, actionable data—using AI, computer vision, and behavioral science to flag risks and enable institutional change before harm happens. We’re not a DEI tool. We’re compliance infrastructure for a new era—where safety, dignity, and fairness are non-negotiable. Our team includes engineers, policy thinkers, civil rights advocates, and public interest technologists from MIT, Harvard, Stanford, The UN, and beyond. We’re launching high-impact projects and building the backbone of ethical AI adoption across sectors. For interns & fellows, this is not a coffee-run experience. You’ll co-design tools, analyze live scenarios, and help shape the future of bias detection and remediation. Your work will be mentored, respected, and turned into real-world impact. If you care about fairness, ethics, and building tools that actually change lives—FairwAI is where your skills meet purpose. Join us. Let’s build the infrastructure fairness deserves.