On 8090's go to market: We could have sold into easier, forgiving customers and posted a nice logo wall. Instead, we did the opposite. We went straight at the hardest, most regulated buyers we could find: healthcare, insurance, life sciences, aerospace, energy, manufacturing, financial services, and the United States government. The logic was simple. If AI can be trusted to do mission-critical work inside the industries with the least tolerance for error and the most oversight, it can be trusted with serious work anywhere. Some recent 8090 wins: - A publicly traded insurer ran a workflow its existing systems could never accommodate and took years of cost out of their system. - A life sciences customer cut its authoring-to-approval cycle by more than half, so the team spends its time on the science instead of the paperwork. - A manufacturer brought tens of thousands of parts under automated handling, and the people who used to do manual intake now work the exceptions that actually need a human. Overwhelmingly all of our customers create negative churn for our business: a small customer quickly becomes medium, a medium customer becomes large. Our large customers are becoming extra-large. And every engagement makes the platform smarter, because of how have engineered our Software Factory. A network effect in Enterprise Software is quite novel and we may be onto one.