We acquire and transform businesses where high-tech meets low-tech. Capturing the spread between analog labor and digitized intelligence.
We are not technology investors; we are efficiency maximalists. We believe the world is undergoing a Cognitive Industrial Revolution. Just as the steam engine decoupled physical force from human limitation, Artificial Intelligence decouples cognitive execution from human bandwidth.
We are currently living through a 20-year labor repricing event. The cost of intelligence is trending toward zero, yet the value of judgment and trust is trending toward infinity. Our fund exists to capture the spread between the old cost of doing business (analog labor) and the new cost (digitized intelligence).
We do not scale through capital. We scale through operational bandwidth. Our portfolio is deliberately constrained by the number of businesses we can personally transform.
Governing dynamics that do not change.
Money is merely a stored unit of time. Businesses that sell 'time back' to their customers have infinite demand; businesses that waste their owners' time have negative equity. We do not buy complexity; we buy the potential for speed.
We respect the Lindy Effect: The longer a non-perishable thing has survived, the longer it is likely to survive. We do not bet on new behaviors. We bet on ancient human needs (shelter, services, logistics, maintenance) fulfilled by new, invisible machinery. The most durable businesses look boring from the outside.
Outcomes are not distributed normally; they follow a Pareto distribution (80/20). In an AI world, the gap between the median and the best widens. A business enhanced by AI does not become 10% better; it becomes 10x more scalable. We seek opportunities where capped downside (real assets/cash flow) meets uncapped upside (margin expansion via automation).
In a technologically accelerated world, you must run fast just to stay in place. Stagnation is death. However, speed without direction is just friction. We deploy technology not to 'keep up,' but to sever the link between revenue growth and headcount growth.
Every moment we spend on a mediocre asset is a moment stolen from a great one. We move with conviction. We buy the past to build the future. We are the bridge between the analog foundation and the digital ceiling.
Understanding our nature.
Humans are evolutionarily wired to fear loss more than they desire gain. We buy businesses that solve painful, non-discretionary problems. We do not sell vitamins; we sell painkillers.
People do not want things; they want what other people want. Status drives behavior. However, in B2B and services, Trust is the ultimate status symbol. Trust is built in drops and lost in buckets. In an era of AI-generated noise, high-trust relationships are the ultimate scarcity.
No customer wakes up wanting a 'Language Model.' They want a clean house, a filed tax return, or a shipped package—faster, cheaper, and with less risk. AI is the plumbing, not the product. If the customer notices the AI, we have failed.
Customer behavior changes slowly, then all at once. We are currently in the accumulation phase of AI adoption. The 'phase transition' (mass adoption) occurs when the friction of using the new tech drops below the friction of the old habit. We invest before the transition becomes obvious to the herd.
How we evaluate and operate.
The highest ROI exists where high-tech meets 'low-tech' industries. We hunt in the unsexy valleys: logistics, HVAC, compliance, boring SaaS, and specialized services. These sectors suffer from labor shortages and aging owners (Demographics are Destiny). They are primed for an efficiency injection.
Complexity is a form of laziness. It is hard to make things simple. We ruthlessly simplify operations before we automate them. Automating a broken process just makes you break things faster.
In an age where code is commoditized, 'proprietary software' is rarely a moat. The durable moats in an AI world are:
We are not here to fire everyone. We are here to remove bottlenecks. AI substitutes drudgery, but it leverages judgment. A human + AI is not 1+1=2; it is 1+1=10. We restructure cognitive work like manufacturing was restructured in the 1980s—turning artisans into operators of high-leverage machinery.
Alexi, Gabriele and Luca