Most patents fail for one simple reason: the claims are written like a product brochure, not like a fence. A patent is not a story about your startup. It is not a press release. It is not a “look how smart we are” document. It is a set of legal sentences called claims. Those sentences […]
Claim Strategy 101: How to Write Patents That Block Competitors Read More »
Most deep tech founders do not lose because the tech is weak. They lose because someone bigger moves faster, copies what works, and wins the market with their own team and their own money. And when that happens, founders often say the same thing: “We should have protected this earlier.” That is what this article
IP Strategy Case Studies: How Deep Tech Startups Built Moats Fast Read More »
Most deep tech founders build fast. They ship code, train models, test robots, and chase real-world results. That is good. But IP moves slower than code, and the rules are strict. If you miss the right step early, you may not be able to “fix it later.” The painful part is this: many IP mistakes
Common IP Mistakes Deep Tech Startups Make (and How to Avoid Them) Read More »
Most startups treat inventions like air: everywhere, but never captured. That is a costly habit. If you are building in AI, robotics, or deep tech, your best ideas often show up in the middle of messy work. A quick change to a model. A new way to tune a sensor. A clever data pipeline. A
How to Set Up an Invention Disclosure Process Inside a Startup Read More »
Most seed-stage founders wait too long to think about patents. Not because they do not care. Mostly because they are busy building, hiring, shipping, fixing bugs, talking to users, and trying to stay alive. But here is the problem: by the time you “have time,” you may already have shared the best parts of your
The Minimum Viable Patent Portfolio for a Seed-Stage Startup Read More »
Most founders think “IP due diligence” is a thing that happens right before a big round or an exit. Investors and acquirers see it very differently. To them, IP due diligence is a fast way to answer one simple question: “Is this company real… and is it safe to bet on?” Not “Is the tech
IP Due Diligence: What Investors and Acquirers Will Ask For Read More »
Most university spinouts begin the same way. A lab result surprises you. A prototype works better than it should. A professor says, “This could be big.” And for the first time, you can see a real company at the end of your research. Then the licensing talk starts. Someone from the tech transfer office (TTO)
University Spinouts: Licensing IP Without Losing Your Future Read More »
If you build hard tech—AI, robotics, new sensors, new chips, new models—your work does not happen in a straight line. It happens in loops. One person tests. Another tweaks. Someone spots a bug. Someone else finds a new path. Over a few months, the “real” invention starts to feel like a shared thing. That is
How to Avoid Co-Inventor Disputes in Research-Heavy Teams Read More »
Most startup fights do not start in court. They start in a Google Doc, a Slack thread, or a quick “we’ll sort it out later” talk between founders. Then you raise money. Or you try to sell. Or a big customer asks for proof you own your tech. And suddenly a simple question becomes a
Startup IP Ownership: Assignment, Inventorship, and Common Traps Read More »
Research is not the hard part. Most technical founders can build something new. They can prove it works in a lab. They can write the paper. They can show a demo that makes smart people nod. The hard part is turning that research into something you own. A patent portfolio is not a stack of
How to Turn Research Into a Defensible Patent Portfolio Read More »
Tran.vc invests $50,000 at the pre-seed stage to empower AI, software, and robotics startups. We help technical founders build strong IP moats, raise seed funding, and grow without relying on endless capital. Focused on speed, innovation, and ownership, we back the builders shaping the future with AI.
