Yes, we want to be judicious in the way that we're looking at this. I think that from an organic growth process, we're looking at opportunities that will allow us to scale the SaaS platform. With most of these SaaS platforms, we're still testing out the price point, but it would take a lot of volume for us to reach the kind of volumes or revenues that we're looking for. So while we're focused on automating that process and building a sales automation approach, that's what we'll be pursuing. Above and beyond that, we have a desire to lean on our history. Both as a public company now with a very strong balance sheet, with audited financials and a highly professional team, we think we can take a meaningful approach towards engaging with enterprises as well as federal governments and helping them apply AI tools. And specifically within that approach, there's many very powerful LLMs out there that folks are very aware of. However, with both enterprise as well as governmental contracts, one would need to have a localized solution that is easy to audit, that is easy to secure, where you could tie back every data input. And should things go awry, one would need to be able to tie back to the exact line of code. I think that because we have that focus on it and because we have the long history of building enterprise apps, for example, our old history with 21st Century Fox, where we were streaming content all around the world, we have a tool that is built to scale. We'd like to use that historical legacy and use some of the balance sheet dollars that we now have to build out teams that can help us engage and go solicit some of these enterprise as well as federal-type contracts. In terms of in terms of an M&A approach, what you'll come to find is that our team is highly metric-based and highly rubric based. Internally what we've done is, without going into too much detail, we have a diligence checklist on rubric, which talks about -- I'll give you sort of the highlights to help you understand. We're looking at a market analysis. Does -- on a scale from 1 to 5, does it help us position -- be in a stronger position for AI federal contracting as well as for enterprise? From a financial assessment, look at how strong they are in terms of revenue growth or stability. Profitability margin is important to us. We're not interested in accelerating cash burn of any capacity. And we're really interested in products that are in the ticket size of somewhere between $1 million to $10 million. Any of the smaller, more traditional SaaS products, while are interesting, and we can do quite easily now, simply don't have the ability to move the revenue dollars in the speed and velocity we'd like it to. We look at things like operational fit, the fit with what we're doing already. We're standardizing a lot of our processes internally. We brought on external parties to evaluate if we're using best practices. Everything that we're focused on is KPI-driven, metric-driven as well as scalability. If we can't scale, it becomes very unattractive to us. From a technology evaluation, we're looking at the tech stack, what are the integrations and how can we use whatever they're building into what were existing -- into what our existing infrastructure is. If it doesn't fit within our modular app ecosystem, it becomes very hard because we spent 2 decades building it. No matter how powerful it is, it'd probably make more sense just to build it for ourselves internally. In terms of a synergy assessment, we are very much focused on cross-selling opportunities. If it's a consultancy, if they're currently selling to federal contracts, if they're currently selling cloud solutions to enterprise companies and they're profitable and they're rapidly scaling up their book of business, that becomes interesting to us. That said, I think we're very reticent in overpaying for anything. I have a background in the ABL credit markets, and I'm very much around aligning sort of success together collaboratively, which you'll see, for example, the Campaign Nucleus transaction we've done. That's largely stock based, and that -- it shares our philosophy of how we grow together. And then lastly, we look at regulatory compliance, of course, but cultural fit is something that I care a lot about. Do they align with the culture, the corporate culture that we want to build? And for us, the way we think about it and that we're measuring all of the folks on our team as well as folks that we'd be engaging externally will be based on a metric of integrity, a sense of urgency, a sense of ownership, a sense of innovation and curiosity because it's my belief that with those characteristics rigorously measured against and ticked and tied, we can really build the kind of culture that I think would be needed to be nimble in this space. There's a lot of dollars floating around within the AI space, and there's a lot of opportunities. But only if we have a high sense of ethical standards, if we have a sense of personal integrity that will be infused throughout the organization as well as a sense of urgency and ownership would be the only way that we could do this. Internally, the tools are advancing so quickly that without a sense of curiosity, we'd be left in the dust. And without sense of innovation and engagement with our customers, we would have no one to work with. So given our history of working with hospitality and history of working with hospitals and other clients of the sort of political sort of affiliations, we're eager to work with partners. So for those that are currently out there that are looking for a well-positioned, highly -- high integrity, highly motivated folks that move with lots of urgency and ownership, reach out to us because we're taking a hard look at ourselves, and we'd love to work with you. And for organizations that have products that can use a capital partner and build something really great, please reach out to our partners. Thank you.