The Thesis: The End of "Off-the-Shelf"

The genius of Palantir was the realization that the standard Silicon Valley model - off-the-shelf SaaS - does not work for highly complex, high-stakes industries like healthcare and defense. In these verticals, the only way to solve problems is through deep, on-the-ground context gathering and semi-customized solutions.

This opportunity is currently exaggerated by the accelerating pace of technology. The chasm between antiquated legacy systems and the frontier of what is possible is widening. This leaves users with a growing sense of frustration: Why doesn't it just work?

Historically, building custom solutions to bridge this gap was too expensive to scale. However, the benefits of the "semi-custom" approach are significantly higher today because AI is aggressively driving down the cost of writing code. This creates a massive opportunity for margin expansion for companies that master this execution channel.

This is the insight Sanctuary is looking to monetize: Complex healthcare problems will not be solved by generic apps, but by high-agency teams building semi-custom, agentic solutions.

The Talent: Curiosity, Agency, and Adaptation

The best way to solve problems in these verticals is to deploy incredibly smart, high-agency humans to understand the context, build trust, and deploy code. It starts with talent.

"Talent" is often a catch-all term, but for Sanctuary, three specific attributes matter:

• Curiosity: As Paul Graham said, curiosity is both the engine and rudder of great work. We need people who are naturally pulled down the rabbit hole of complexity. They should get annoyed that things operate inefficiently and refuse to stop until they have reached first-principle causes.
• Agency: In highly regulated contexts, successful teams don't just understand the problem; they self-govern toward a solution. They assume the system is permissionless and act, rather than asking what they are "allowed" to do. They possess a healthy disregard for arbitrary rules and aren't afraid to break glass to fix the foundation.
• Adaptive Social Intelligence: It is all very well being curious and high-agency, but the broken systems we are fixing are often that way by design. Many stakeholders benefit from the status quo. Consequently, a high-agency disruptor can trigger an organizational "immune response." It is deeply important that our engineers can read the room, understand individual incentives, and act as social chameleons. They must be empathetic enough to build trust, but Machiavellian enough to navigate the politics required to deploy the solution.

The Org Structure: Killing the "Telephone Game"

Building software to fix complex problems is something many engineers are good at. The non-trivial challenge is navigating the political and implementation hurdles that arise during the build.

We learned this the hard way. Early on, we convinced the executives of an enterprise customer to sign a deal, but we neglected the change management. This led to nothing short of a prison riot. This gave us a core learning: We are playing political games, not just engineering ones.

Most companies are set up in functional verticals: Product, Sales, Marketing. This divides the organization by skill set, not by outcome.

• The Failure Mode: A customer speaks to an Account Manager, who relays feedback to a Product Manager, who puts it on a roadmap for an Engineer.
• The Reality: The customer hates this. They know the "Account Management Executive" is often a glorified note-taker.

We must shrink the communication distance between the customer and the builder. Your customer wants to speak to someone with influence and status - the person writing the code.

When building semi-custom solutions, we need a flat, self-organizing structure. We maximize the autonomy of these teams, allowing them to discover problems, sell the vision, and build the solution as they deem best.

The Future