We had the opportunity to attend Collision Conference in Toronto this year, and we wanted to share some key takeaways with you. Collision is North America’s fastest-growing tech conference which was held from June 20th to June 23rd, 2022, in the city of Toronto, Canada. The event included tech experts, some of the world’s best speakers and market leaders.
Across the board, despite a significant slowdown in funding, there is an incredible amount of innovation happening in the tech sector. DeepTech fields such as AI, AR/VR and autonomous vehicles continue to move forward pushed by new and existing startups. Corporate funds are replacing part of the slack in VC funding.
1. The Tech sector has incredible innovations coming down the pipeline, especially in the field of AI.
2. Although hardware companies were underrepresented, the ones present showed great promise and an array of future applications.
3. From an investment side, although many investors are aware of a major slowdown in funding, this is the best time to find the future winners in the DeepTech arena.
4. Building on the last point, this is a great time for early-stage investment, as many fantastic companies will emerge out of the current struggle and competition.
Semiconductor innovation requires navigating a complex maze of high costs, lengthy development and qualification paths, detailed technical specifications, and, of course, the right market timing. For startups that seek to lead in their space, external expertise isn’t just helpful; it is almost always essential.
We are excited to announce TD Shepherd as a partner of High-Tech Venture Days 2025 (HTVD25). HTVD is a matchmaking event that brings together three main groups: startups, investors (especially venture capital firms, corporate venture arms, etc.), and established companies (corporates).
Generating infrared light isn’t difficult. But generating it on a chip — reliably, efficiently, and compactly — is a different story. Traditional IR sources rely on heating elements. They radiate across a wide range of wavelengths, consume significant power, and require filters to isolate the signals. Manageable in labs, unworkable in wearables.