Most seed investors lead with upside. They paint visions of exponential growth, massive markets, and transformative outcomes. We take a different approach: we start with risk.
This isn't pessimism. It's the foundation of genuine conviction. After fifteen years of managing portfolio risk for institutional investors, we've learned that understanding what can go wrong is the prerequisite for recognizing what will go right.
The Risk Management Lens
When we evaluate an early-stage company, we don't begin with the TAM slide or the hockey-stick projections. We start with a series of questions that would be familiar to any risk manager:
- What needs to be true for this to succeed? Every startup rests on assumptions—about customer behavior, technology feasibility, market timing, competitive dynamics. We identify these assumptions explicitly and assess their probability.
- What could prevent success? Technical risk, market risk, execution risk, regulatory risk, competitive risk. We map the landscape of potential failures, not to be discouraging, but to understand the terrain.
- How durable is the competitive position? Even successful products face erosion. We evaluate the sustainability of any advantage the company might build.
- What's the magnitude of loss if we're wrong? This is table stakes for any investment, but it's remarkable how often it's overlooked in the enthusiasm of early-stage investing.
Why This Approach Works
Counterintuitively, this rigorous focus on downside makes us better at identifying upside. Here's why:
1. It Creates Genuine Conviction
When you've thoroughly analyzed what could go wrong and still believe in an investment, your conviction is built on solid ground. You're not swept up in narrative or FOMO—you've done the work to understand the risks and concluded they're worth taking.
This matters enormously in early-stage investing, where the journey is long and turbulent. Companies pivot, markets shift, and crises emerge. Investors with shallow conviction often panic or lose interest at precisely the wrong moments. Those who've internalized the risks can remain supportive through inevitable challenges.
2. It Identifies Hidden Strengths
Some of the best early-stage investments are companies that appear risky on the surface but have subtle structural advantages that mitigate those risks. A risk-first analysis surfaces these advantages.
For example, a company might be entering a competitive market—an apparent negative. But deeper analysis might reveal that the founder has unique domain expertise that creates an unfair advantage in customer acquisition, or that the technology architecture enables a cost structure competitors can't match.
3. It Improves Post-Investment Support
Understanding a company's risk profile makes us better partners after we invest. We know where the company is vulnerable and can provide targeted support. We can help founders think through scenarios they might not have considered. We can introduce them to people who've navigated similar challenges.
The Quantitative Foundation
Our risk management heritage gives us tools that most seed investors lack. We think probabilistically, not just narratively. We build scenarios and stress-test assumptions. We consider correlation—how might different risks compound each other?
This doesn't mean we build elaborate financial models for pre-revenue companies. That would be false precision. But it does mean we're disciplined about distinguishing between what we know, what we believe, and what we're hoping for.
Where We Apply This Approach
Risk-first investing is particularly valuable in markets we understand deeply. Our focus on AI infrastructure and real estate technology isn't arbitrary—these are domains where our expertise lets us evaluate risks that others might miss.
In AI infrastructure, we understand the technical risks of building foundational systems. We can assess whether an architecture will scale, whether the team has the depth to solve hard problems, whether the technology is truly differentiated or merely well-marketed.
In real estate technology, we've spent years advising investors on property-related risks. We understand the workflows, the pain points, the regulatory environment. This lets us evaluate PropTech companies with a nuance that generalist investors often lack.
The Result
Risk-first investing leads to a concentrated portfolio of high-conviction bets. We invest in fewer companies than many seed funds, but we invest with deeper understanding and stronger commitment.
This approach won't appeal to everyone. Some founders want investors who lead with enthusiasm rather than questions. Some LPs want portfolio diversification rather than concentration.
But for founders who appreciate rigorous thinking and want partners who truly understand their business, and for investors who value conviction over volume, the risk-first approach delivers something valuable: clarity in an asset class often defined by uncertainty.
Building Something We Should Know About?
If you're a founder in AI infrastructure, real estate technology, or B2B software, we'd love to hear from you.
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