What do I do?
Every technology revolution arrives the same way. A wall of acronyms. The PC, then the internet, then mobile, then cloud, and now AI. There is a lot of talk about promise, about the future state, about the problems that are about to be solved. But in the room where the decision gets made, the question is practical.
What do I do?
AI is moving faster than anything that came before it. So the question is louder now, and the cost of getting it wrong is higher.
Over 30 years at the companies that defined every major technology revolution. The PC era at Microsoft. Mobile at Apple. Cloud at Amazon. Virtualization at VMware. Enterprise software at Pivotal. We were not observers. We were the product leads, engineers and executives who built the platforms that changed how the world works.
Beyond the platform companies, the team has spent decades inside venture capital and private equity, backing and building the companies that defined their categories, and founding AI startups and taking them from an idea through exit. We know what it takes to build, fund and scale a technology company, not just operate inside one.
Whether it means to or not. The ones that win make them on purpose. AI is also the first revolution every organization can build for itself instead of just adopting.
Have a view of the future. Outthink your competition. Harness AI instead of being driven by it. Then be intentional about your five bets.
You can rent a proprietary model and pour your data into it. Every prompt trains someone else's model, and that someone would be happy to eat your lunch. Or you can invest in open models with published weights, running on infrastructure you own and tuned on your own data. Over time those models get small enough to run on a PC or a phone. We call it the new OSS: open, sovereign, small. It is easy to get started, and the economics favor you from day one.
The first instinct is to let everyone vibe. Prompts everywhere and nobody in charge. The other path is to tame AI so it works like the software you already trust: a fleet of models, integrated, working together, with containment around all of it. Moving to open models takes the cost of a token down by orders of magnitude, so you can spend most of your tokens on validation. That is how commercial aviation works — most of the effort goes into proving the plane will not fall out of the sky. Reliability and safety is king.
The easy story is that agents replace everyone. The companies that win will bet on their people and hand them agents. People are still needed for judgment, for the decisions that carry consequences, and for knowing when the machine is wrong.
Don't be a slave to the next release. We do the technology so you can stay focused on business value.
Security is the Achilles heel. AI accelerates conventional attacks and creates a new breed of them: agent attacks, fraud, spam and phishing at machine speed. You can stay on the current path. Or you can monitor thousands of sources and build agents on the fly to find, fix and finish threats — an agent layer on top of the security you already own. Response in minutes, not weeks.
Your data was organized for reports and for people. AI needs it organized for agents. One metastore where every model and every agent reads from the same source.
Foundations pays all of this off with products. You work on the business, not the technology. And you are free to make the right bets.
Prebuilt agent fleets for your specific needs. We start with our base of 2,500 agents and extend them into your business.
