The moat is the
message. Now
more than ever.
In the age of AI-assisted development, building product is no longer the hard part. Defensibility is. Here's how we think about what's changed - and why it matters for every early-stage company.
The old model
is breaking down.
For a long time, the role of an early investor was clear: provide capital, make introductions, help a company get off the ground. That model worked well - because building product was genuinely hard.
If you could raise money and hire engineers, you had a meaningful head start on anyone who came after you. Capital unlocked talent. Talent built product. Product attracted customers. The friction was real, and investors who could reduce that friction created real value.
“That worked when building product was the hard part. But building product is no longer the hard part.”
In the age of vibe coding, Claude Code, Cursor, and AI-assisted development, a competent founder can ship a working MVP in days, not months. The technical barrier that once protected incumbents has been dramatically compressed. A determined competitor - with a moderate budget and access to the same AI tools - can replicate most products with frightening speed.
The question
investors aren't asking.
Here's the question that should be on every term sheet, but rarely is:
If a well-funded competitor launched your product tomorrow, what would stop them from taking the market?
Not “what's your moat?” - that's too abstract. The real question is: what specific legal, structural, or technical barrier prevents replication? And if the honest answer is “nothing yet,” when does that change?
Most founders answer this with network effects, brand, or “we'll be so far ahead by then.” These are real advantages - but they require time and traction to develop. In the window before they kick in, your company is genuinely vulnerable. That window used to be 12–18 months. Now it might be 6–8 weeks.
How the investor's
role must evolve.
The next generation of early-stage investors will need to help companies become defensible - actively, structurally, legally - before the copycats arrive. That means thinking about IP not as a Series A formality, but as a strategic weapon deployed at seed, when claims are broadest and costs are lowest.
Identify what's patentable
Before production code is written, audit the core innovation. Early identification means broader claims and lower prosecution costs.
File US provisional applications
Establishes priority date for under $3K. Patent-pending status signals seriousness to competitors and investors alike.
Convert and expand the portfolio
Convert the provisional, file continuations, begin PCT filings. Build a patent family that anticipates how your product will evolve.
Enforce and monetize
Pursue infringers without burning operating capital. Well-structured IP is a licensing asset and negotiating lever that compounds over time.
Why the ecosystem
has a gap.
Funds like Y Combinator, Techstars, a16z, Sequoia, Benchmark, and Greylock are exceptional at what they do. But most don't have IP enforcement muscle on the cap table. They're not structured to file patents, prosecute claims, or pursue infringers - and that's not a criticism, it's outside their model.
The result: most seed-stage companies reach Series A with a working product, a growing market, and no meaningful IP protection. By the time they hire their first patent counsel, the broadest claims are no longer available.
This gap is structural. IP has traditionally been seen as a cost center - something you do because your lawyers told you to. That framing is wrong. IP is a capital asset. In a world where products can be cloned in weeks, it may be the most important capital asset a young company can own.
Where PatentVC
fits in.
We're not trying to replace your lead. We're filling the structural gap your lead - however great - cannot fill. We co-invest $50K–$200K at pre-seed, seed, and Series A alongside YC, a16z, Sequoia, Benchmark, Greylock, Lightspeed, and the other top-tier firms writing your term sheet, and we bring the one thing most cap tables are missing: active patent prosecution and enforcement capability from day one.
PatentVC is led by Raj Abhyanker - founder of Trademarkia (120,000+ clients across 80+ countries), founding CEO of the predecessor company that became Nextdoor, and ~5-year lead outside patent counsel for NVIDIA. Patents he's written or invented have been licensed or sold for nearly $1 billion.That's the IP operator joining your cap table when you keep room for us.
The ask:Carve out a small allocation for PatentVC next to your lead. We don't need a board seat. We don't need pro-rata fights. We need a slot and the green light to start filing on day one.
Where we focus.
We don't spray. Our edge is strongest where a genuine technical moat can be articulated as claims and enforced against fast-moving AI-native competitors. Our investments concentrate in six arenas where patent protection translates directly into enterprise value - and all six are being reshaped, right now, by applied AI.
Legal Tech
The category we live in. AI-assisted drafting, docketing, contract analysis, compliance automation, and IP platforms. We pattern-match faster here than anyone because it's our day job.
Defense Tech
Autonomous systems, counter-UAS, ISR, dual-use sensing, and secure comms. The sector rewards deep patent moats because procurement cycles depend on them - and our prior NVIDIA prosecution work maps tightly to the core stack.
Health Tech
Medical devices, diagnostics, clinical-decision AI, and digital therapeutics. FDA-adjacent moats plus patent claims create durable defensibility - our medical-device track record includes foundational inventor-side work.
Energy Tech
Grid software, storage chemistries, nuclear and fusion enablement, and AI-optimized power systems. Hardware-plus-software stacks need patent coverage layered across both planes - and we file across both.
Space Tech
Launch, satellites, in-orbit services, and space-based sensing. Novel propulsion, comms, and autonomy IP is often the sole protectable surface of a 10-year bet - we file continuations built for that timeline.
Public Safety & Civic
Financial services, insurance, logistics, transportation, and other heavily-regulated sectors being transformed by AI. Where compliance complexity is a moat, patent strategy compounds it - and where AI is disruptive, it needs protecting.
The through-line: applied AI meeting a regulated or mission-critical surface. If your startup sits at that intersection and has something genuinely novel in the core technology, you are - by construction - in our wheelhouse.