Most founders think IP assignment is a “legal cleanup task.” Investors don’t. To an investor, your IP assignment structure answers one simple question: Does this company truly own what it sells? If the answer is unclear, even a strong product can become a risky deal. And in deep tech—AI, robotics, hardware, biotech-adjacent tools—risk around ownership […]
What Investors Want in Your IP Assignment Structure Read More »
Dual-use tech is the kind of thing that makes founders proud and nervous at the same time. Proud, because it usually means you built something powerful. The same core idea can do real good in the world: safer factories, faster medical tests, cleaner energy, better disaster response. Nervous, because that same core idea can also
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In BCI, the hardest work often happens before the first customer pays you. You spend months on data, signal quality, and “does it even work?” Then a lab, a big company, or a better-funded team sees the same thing and ships a version with a nicer case and a bigger press push. If your edge
Neuroscience and BCI: How to Build an IP Moat Read More »
If you are building an AI tool using open datasets, you are not alone. Most great AI products start that way. Open data is fast, cheap, and rich. But it also creates a real worry: “Can I even patent this if the data is public?” The answer is often yes—if you focus on the right
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Most founders treat patents like a chore they’ll “do later.” Investors can tell. And it quietly hurts trust, even when the tech is strong. An IP roadmap fixes that. Not by turning you into a lawyer. Not by burying you in paperwork. But by giving you a clear, believable plan for how your ideas become
How to Build an IP Roadmap Investors Will Respect Read More »
Open source can be one of the best growth moves a technical founder can make. It can bring users, trust, and a strong community faster than any ad spend ever will. But open source is also a one-way door. Once code is public, you cannot “unshare” what the world has already seen. And if you
IP Planning Before Going Open Source Read More »
If you are building a fast tech startup, you already feel the pull in two directions. One pull says: “Ship. Talk to users. Fix bugs. Move.”The other pull says: “Protect what we built before someone copies it.” Most founders think they must choose. They do not. You can build a patent portfolio without slowing down.
Building a Patent Portfolio Without Slowing Down Read More »
Every AI and machine learning startup has a moment where the team realizes something important: the model is not the moat. Your edge is usually a mix of things—how you collect data, how you clean it, how you train, how you ship, how you loop feedback back into the system, and how you make the
IP Strategy for AI and Machine Learning Startups Read More »
Most robotics founders build the robot first… and think about patents later. That is normal. You are busy making the thing work. You are fixing motors, tuning control loops, fighting edge cases, and trying to ship. But here is the hard truth: in robotics, “later” can be too late. Robotics moves in public. Demos happen.
Robotics Patent Strategy: What to File First Read More »
IP Considerations for Biotech and Life Sciences In biotech and life sciences, your work can be life-changing—and also easy to copy if you do not protect it early. A great assay, a new cell line, a cleaner manufacturing step, a smarter dosing method, a better biomarker, a novel delivery system… these are not “nice-to-haves.” They
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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.
