The short answer is that it's not happening fast enough.
It's not happening fast enough for a couple of reasons, as was just pointed out. I think the first one is purely access. Access continues to be a big challenge, and even AI compute. We talk about that all of the time. As a large organization ourselves, we are typically third, fourth or fifth in line to try to get that. It's one of the reasons we went and invested ourselves in this space.
The second one is that if you look at a lot of small industries, they're still connected to the large hyperscalers and the grants that come from there. There's a whole incubation of capabilities that actually start just past research but at the start-up stage. At the start-up stage, where a lot of companies are looking for the right grants, for the right set-up, etc., there are many hyperscaler grants that actually get them on. Once you're in that ecosystem, you're connected. It's a self-fulfilling piece.
From our perspective, while we're actively working with SMEs in a number of places, we've chosen to actually spend more time in the start-up ecosystem. If I look right here in Ottawa, we're working with L-Spark, which is a large consortium of start-ups. We have a number of start-ups now on the AI factory deployed. If we look nationally, we have folks like AIP, where there are 160 different start-ups that are coming into that ecosystem.
We've set up two programs. One is called the catalyst program. That actually meets and matches some of those grants. You come in, and while you're applying for different grants, etc., you have access to free infrastructure. Then, going forward, you have access to very competitive pieces.
On the second piece, around what we can do, I'd love to have a discussion with you on how we can help. I myself am from Mississauga, and I would love...but we are trying to reach all of the local ecosystems in different places. In some cases, we find that it's more efficient for us to work through an ecosystem of start-ups.