Top Tech Startups in Toronto, Canada in 2026

Most candidates never get interviewed. They don't make it past the resume screen, so no one ever hears what they can actually do. That happens because interviews are expensive. Scheduling alone eats hours, and a first-round screen costs a real person a real hour. So teams filter hard on paper, because that's the only filter that scales. Cayde makes the first round cheap. Interviews run asynchronously, so candidates interview when they're ready, from anywhere, with no calendars to coordinate. Every interview is evaluated against criteria your team defines, consistently, and every score can be traced back to what the candidate actually said. Your team gets its hours back. That time goes where judgment actually matters: real conversations, alignment with the hiring manager, closing the people you want. And more candidates get a shot they wouldn't otherwise have. You don't get better hires by screening harder. You get them by seeing more people. See it at cayde.ai.

Amjed (AJ) Kadhim-Saleh - Family Physician / Co-Founder AJ is a community family physician and clinic owner in Toronto. AJ has a deep understanding of the joys and pains of practicing family medicine, building an efficient practice, and creating workflows that work for family physicians. AJ developed Pippen so that family physicians could claim back their time, feel supported, and have a great day at work. AJ also wants to help physicians discover the wonder of AI, which is poised to revolutionize how physicians deliver care. Mary Aglipay PhD Candidate / Co-Founder Mary is a clinic owner and PhD Candidate in epidemiology with an emphasis on data science and AI. Mary brings expertise in machine learning, large datasets, and clinical epidemiology. Mary built Pippen to provide a rigorous, evidence based approach to the real-life application of AI in family medicine. Learn more about our origin story here: pippen.ai/blog/the-pippen-ai-origin-story

MyKriya connects technology enterprises with senior talent in Cloud, Data, and AI. MyKriya comes from a Sanskrit word, Kriya which means precise, purposeful action. Not effort for its own sake, but the right effort, at the right moment, toward the right outcome. One of our founders has spent 17 years in the technology industry and is also a Yoga practitioner. In both worlds, the principle is the same: righteousness, focus, and precision. We named this company with that intention and we run it the same way.

Proven is building the infrastructure for how organizations find, trust, and work with the right partners — whether that’s a startup choosing a vendor, a VC connecting portfolio companies, or a government promoting its exporters to the world. Today, vendor discovery, export promotion, and FDI attraction are mostly done with spreadsheets, static directories, and manual intros. It’s slow, relationship-dependent, and almost impossible to keep up to date. Governments struggle to showcase the full strength of their ecosystems, agencies can’t see which companies are actually winning deals, and foreign investors don’t know who they can trust. We’re fixing that. Proven is a networked platform where organizations can create living “trust networks” of companies: verified vendors, exporters, and local partners connected through real relationships, data integrations, and AI-driven matching. Governments and economic development agencies use Proven to: • Build modern, searchable directories of trusted local companies and exporters • Showcase those companies to foreign buyers and investors • Match international demand with vetted local supply in real time • See what’s working through data, not guesswork The hard problems we’re solving: making trust and track record machine-readable, turning scattered relationships into usable network data, and giving institutions a way to build and operate trade and investment networks that are dynamic, global, and actually used. In short, we’re rebuilding how economic ecosystems connect and grow.

TravelAI is building an agentic network for the global travel industry, connecting travelers, suppliers, and AI agents across a singular platform. The TravelAI Network is optimized to drive conversions and help customers book better travel experiences. TravelAI operates more than 400 consumer-facing brands, each hyper-targeted to guest personas to better match the right traveler to the right property, activity, or location.

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.