Private credit allows investors to act like chefs—deeply involved from ingredient sourcing (diligence) to final creation (structuring). Liquid market investors are like food critics, limited to analyzing the finished product with restricted access to information, which increases risk.

By building its software with abstract "primitives" instead of hardcoded features, Lumanic can quickly reconfigure its platform for different asset classes. This allows them to enter new markets by simply relabeling core components.

Permira focuses on complex opportunities where deep operational and sector understanding is required. They believe this complexity is often confused with higher risk, allowing them to earn a significant premium.

In a market flooded with capital, fundraising is becoming a commodity. The enduring competitive advantage will be proprietary origination—building platforms and ecosystems to source high-quality loans consistently through cycles, rather than just competing in auctions for deals.

Private credit's mandate has broadened significantly due to AI's capital demands. Traditionally focused on leveraged buyouts, these funds are now directly financing large, investment-grade scale projects like GPU fleets and data center development. This marks a major shift in the credit landscape, providing a flexible alternative to public markets for critical infrastructure.

Public markets favor asset-light models, creating a void for capital-intensive businesses. Private credit fills this gap with an "asset capture" model where they either receive high returns or seize valuable underlying assets upon default, securing a win either way.

The key innovation enabling private credit's growth wasn't technology, but achieving the capital scale necessary to handle billion-dollar-plus deals. This capital base allows firms like Blackstone to cut out middlemen and serve large clients directly, a feat impossible 20 years ago.

Historically, asset classes were siloed for convenience because modeling illiquid private assets was difficult. Technology is changing this by providing greater transparency and analytic capabilities for private markets, turning the binary public/private distinction into a continuous spectrum of liquidity and disclosure.

Nominal followed Peter Thiel's advice by first targeting the small, acutely painful problem of post-test data review. By building a 10x better solution for this specific niche, they established a strong beachhead from which they could then credibly expand into adjacent markets like manufacturing and fleet operations.