AI needs to fuel a mid-market boom.
For AI to be a force for good, its gains need to reach the companies, people and communities in the middle of the economy.
Mid-market companies already have customers, capable people, and years of knowledge about their work. AI gives them a chance to put those strengths to work in new ways: more capacity, new products and services, and room to grow. We want that growth to spread across industries and communities.
Our part is to help those companies build the systems and ways of working that make that growth possible, while keeping control of what makes them valuable. We call that sovereign growth: owners and teams shaping how their business runs and what it becomes.
What sovereign growth means
Sovereignty is having its moment as a word, and it means something different at every altitude. For nations, it means owning the machinery of AI itself: the models, the chips, the data centers on home soil. That is the version Palantir sells, and for its customers it is the right one. For a company, sovereignty is smaller and more useful: you own the way your business runs. The workflows, the data, the encoded know-how of how you operate live in systems you control, and you can swap any vendor, any model, any partner without losing what makes you you. For a person, it is the oldest meaning there is: your work, your judgment, and your upside, under your own direction.
The thread through all three is a destiny you control instead of rent. AI is going to reward initiative more than any technology before it; everyone can already feel that. Sovereign growth is what we call taking that seriously: self-directed, self-governed prosperity. Growth where you get to win. Not Silicon Valley, not the banks, not the multinationals. You.
It rests on three pillars:
- Owned and operated. The control. We mean it three ways at once: we serve mid-market operating companies where an accountable executive owns the outcome, including founder-owned and private equity-backed businesses. We staff operator engineers, builders who run the work they automate. And we build you a stack you own instead of rent: the critical workflows, the data, the encoded knowledge of how you operate.
- AI-enabled growth. The prosperity. Dramatically more output from the people you already have, measured against numbers you already trust. Ownership without growth is just control; the point is compounding.
- Big swings. The self-direction. The products, services, and markets that were impossible before AI. Sovereignty is not just defending what you have; it is deciding what you become.
Growth is mandatory, the time is now, and it will come from the middle.
- America's debt math only works if productivity growth rises by about half a point. We are not macroeconomists, but we have all seen the charts, and the alternatives (massive tax reform, wealth redistribution, a shifting geopolitical order) all look worse.
- Not from the Fortune 500: committees buy AI and bolt it onto rented systems.
- Maybe from startups. But startups are moonshots by design, and software is now so easy to produce that the old game of building it and selling it is a crowded lottery.
- That leaves the two hundred thousand companies in the middle of the economy. The economists will not tell you that part. It is our claim, and we have staked the firm on it.
- The second reason is timing. Transformations like this do not come around often: electricity got one generation, computation another. This one is ours, and it will not last long. AI lets a small team move nimbly, carrying the compressed intelligence of everything that came before it. There is no excuse left not to build the business of your dreams. We intend to seize the moment, and we invite you to do the same.
Start where the business can improve most.
Some companies need to get a critical initiative moving. Others have outgrown their systems or can see a new opportunity. We start with the business case and work with the people responsible for the result.
The real workBuilding the software is often the easiest part. The harder work is earning trust, changing habits, and getting the system used enough to matter.
Most firms focus on the technology. We take responsibility for the adoption and cultural change around it too, working with the people doing the job, revising the tool around what we learn, training the team, and staying close until it becomes part of how the company runs.
Own the plumbing. SaaS replacement. Replace rented systems where the economics justify it. Retired subscriptions can help fund the build, while better workflows and connected records change how the company runs. Include migration, ongoing operation, and maintenance in the business case.
Own the Plumbing →Own your edge. Model-agnostic agents. Build your Alpha Layer: knowledge, data, workflows, and agents in your infrastructure, with the model as a swappable part. Keep this layer out of the frontier labs' products; that is where lock-in lives. Create data where there was none. Rent the best model each quarter and own everything around it.
The Alpha Layer →Own the future. Exploratory AI. The big-swings door: the new product, the new service, the offer that was unimaginable before. R&D with an owner's discipline.
Explore what could come next →The hard part is changing how a company works, so the firm is built around people.
- Operator-engineers: AI-pilled with business sense. Fluent enough in the technology to ship, grounded enough in operations to know what is worth shipping.
- Forward deployed inside your company, with the CEO in the room. Understanding comes before automation, every time.
- Adoption is part of delivery. We find the person who owns the new way of working, involve users early, watch where the system gets ignored, and keep adjusting until it earns a place in the day-to-day work.
- The practitioner model: small dedicated teams backed by a network of senior specialists, with a lead responsible for the result.
- Every engagement built to end.
Mid-market operating companies, roughly $20M to $200M.
Where owning your systems pays
Too little software spend to pay for ownership
Spend and authority line up
Too much sunk configuration. Committees decide.
The who and the why are the same argument: the growth lives where the math works.
- 1
Build Runpoint for this moment.
No weak links. A small, T-shaped team that scales through operator-engineers.
- 2
Help fuel a mid-market boom.
Build the tools, then earn trust, change habits, and make them part of how the company runs.
- 3
Ensure peace and prosperity for the next generation.
NBD.
SaaS replacement can be structured around the spending it retires. Exploratory work can share upside.
Before the build begins, we agree on the business result and the signs that people are actually using the system.
Under every structure: ROI positive, or we walk.
- At one company: the system is in daily use, the team can improve it, and the upside stays with the owner.
- Across the middle market: growing companies creating new capacity, products and services, with the gains reaching more owners, employees and customers.
If you run one of these companies: you are not the audience for the AI debate. You are the answer to it. Stop renting your way out of this.
If you are one of the people who ships: there is no more consequential work available to a person with initiative. Come find us.
The Moment is now. Build.