Paseo: AI for IP

There's a specific kind of frustration that comes from having a genuinely good idea and then watching it get buried in process. Not killed by the market, not rejected on its merits. Just... buried. Waiting. Sitting in a queue while someone with the right software license and a six-week timeline gets around to telling you what you already suspected: that this thing might be worth something.

That's the reality of IP analysis right now. Not for everyone, obviously. If you're at a company with a full legal department and a patent counsel on retainer, you probably have a system. But for in-house teams at mid-sized companies, for R&D leads who need to make fast resource decisions, and for individual inventors who just want to know if they're onto something before they spend $15,000 on a full application, the existing process is genuinely painful.

Prior art searches cost anywhere from $500 to several thousand dollars on the low end, and can stretch far beyond that for complex technologies. And that's before attorney fees, which in major markets can run $500 an hour or more. The time component is just as rough. A professional patent search typically takes between one and five weeks from start to finish. If you're iterating on an idea, or if you have a pipeline of ideas to evaluate, that timeline compounds quickly. You're not doing one search. You're doing several. And each one costs real money with no guarantee the idea survives it.

This is the bottleneck. It's not a new problem, but until recently there wasn't a great solution for it.

What Paseo Actually Does

The short version: Paseo is an AI-powered IP analysis platform that takes an idea you describe in plain language and returns a comprehensive, 360-degree analysis in roughly 10 minutes. Not a keyword search. Not a rough scan. A full analysis covering novelty, obviousness, feasibility, market potential, and more.

The longer version is worth understanding, because the components matter.

When you submit an idea, Paseo first does something that sounds obvious but is actually pretty hard to automate well: it extracts the distinct features and underlying concepts from your description. These aren't the same thing. Features are the specific functional elements of your invention. Concepts are the broader intellectual territory it occupies. Both matter for prior art analysis, and Paseo separates them out automatically, then lets you assign weights to each concept to focus the analysis where you need it most.

From there, the platform runs that idea against a database of over 220 million pieces of prior art, including academic research. That last part is important. Published academic research is a valid and infringeable form of prior art, and it's easy to overlook if your search is limited to patent databases. Paseo also reads 200 million journal article abstracts and organizes them by relevance on a concept-by-concept basis. If a researcher published something similar in 2019 and nobody built a product from it, it still counts. You need to know it exists.

The Obviousness Problem

Of all the ways a patent application can fail at the USPTO, obviousness rejections under 35 U.S.C. § 103 are by far the most common. The statute says, roughly, that you can't patent something if a person with ordinary skill in the relevant field would have considered it obvious before the filing date. That sounds simple, but it gets complicated fast, particularly with what's called multi-feature obviousness.

Here's the scenario: Patent A has features X and Y. Patent B has features Z and W. Your invention combines X, Y, Z, and W. You didn't copy anyone. Nobody built exactly what you built. But the USPTO can still reject you on the grounds that the combination was obvious. The examiner evaluates whether the differences between your invention and the prior art are such that the invention, as a whole, would have been obvious to a person of ordinary skill in the art. It's a high bar and a lot of ideas don't clear it.

Paseo evaluates this directly, scoring both single-feature and multi-feature obviousness for your idea. It's the kind of analysis that typically requires a lawyer and multiple billable hours to do manually. Running it before you've committed significant resources to an application isn't just useful, it's the smart play.

Visualizing Where the Market Isn't

One of the more useful things Paseo does that doesn't always get enough attention is the competitive landscaping layer. After running the analysis, the platform generates visual heat maps and feature graphs showing how much of your idea's conceptual and feature space is already occupied by existing prior art. The areas with low coverage, what Paseo calls "white spaces," are where the real opportunity tends to live.

This is strategic intelligence, not just legal protection. If you're building a product and you can see that three of your five core features are heavily patented territory while two of them are largely uncharted, you can shift your development focus. You can build around the crowded space and into the open one. You can make smarter decisions about where your IP is actually defensible before you've spent the money to find out the hard way.

The platform also maps out the broader commercial landscape: which industries and companies would be likely acquirers or licensees of your IP, which global markets have the strongest demographic and economic fit for your product, and what larger product ecosystems your invention could plug into. That last part, identifying how your invention might function as a component of something bigger, is often where individual inventors underestimate their own work.

The Filter at the Top

Before any of the above kicks in, Paseo runs a feasibility check. It sounds almost too basic to mention, but it's not. People submit ideas that would require physics to work differently than it does. Not often, but often enough. The point of the feasibility layer is to catch those cases at the front of the pipeline, not after someone has spent weeks or months on an analysis.

This is how the whole platform is designed: as a filter system. Each layer of the analysis is meant to give you better information before you make the next, more expensive decision. The feasibility check filters out the impossible. The novelty and obviousness analysis filters out the already-done and the unlikely-to-survive. The market analysis tells you what's worth pursuing even if it is novel.

What Happens When Iteration Becomes Instant

Here's the thing that doesn't get talked about enough. The time compression isn't just a convenience. It changes what's possible at a more fundamental level.

When a prior art search takes one to five weeks and costs several thousand dollars, you don't iterate. You can't afford to. You submit an idea, you wait, you get a result, and then you either proceed or you don't. If the analysis comes back unfavorable, maybe you revise the idea and pay for another search, but realistically, most people don't. The cost and the timeline make that kind of back-and-forth impractical. So the idea either survives its one shot at analysis or it gets shelved.

The consequence of that is that inventors and R&D teams have historically been stuck optimizing for ideas that can survive a single pass, rather than ideas that can be refined toward something great. You're placing a bet.

Paseo changes that dynamic completely. If your first result comes back showing high obviousness in two of your five core features, you can adjust the description, reweigh your concepts, and run the analysis again. Right now. In the same sitting. If a white space appears in the heat map that you hadn't considered, you can pivot the idea toward it and see how that changes your novelty score. If the feasibility check catches a physics problem with one component, you can rework that component and retest before you've wasted a dollar on legal fees.

This isn't an incremental improvement on the old process. BCG research has found that companies deploying lean, iterative development principles reduce timelines by double-digit percentages and increase overall value. That's when you're shaving weeks off of a process that was already designed for speed. What Paseo does is compress a process that was never designed for speed at all. A prior art search that took a week now takes 10 minutes. The math on that isn't a percentage improvement. It's a different category of thing.

What we struggle to fully quantify is the compounding effect. One iteration in the old world might cost $2,000 and three weeks. One iteration in Paseo costs the time it takes to retype a description. That difference doesn't just mean you can do more iterations on a single idea, though you can. It means you can realistically evaluate more ideas in the first place. An R&D team that could previously afford to run four or five go/no-go analyses per quarter can now run dozens. An individual inventor who could only afford to bet on their best idea now has the tools to stress-test several of them and figure out which one actually holds up.

Iterative development produces higher quality outcomes precisely because it replaces one high-stakes bet with a series of lower-stakes experiments. That principle has been understood in product development and engineering for decades. It just never applied to IP analysis, because IP analysis was never fast enough. Now it is.

The practical result is that Paseo doesn't just speed up the process of validating an idea. It changes what kind of thinker you can afford to be. You can afford to be wrong earlier. You can afford to explore directions that you'd have previously skipped because the cost of being wrong about them was too high. You can follow a hunch, find out it doesn't hold up, adjust, and follow another one, all before lunch. That's not a workflow improvement. That's a different relationship with the innovation process itself.

A professional prior art search takes weeks and costs real money, and that's before any of the strategic analysis that actually helps you decide what to do with the result. The question Paseo answers isn't just "does my idea already exist." It's "what is my idea worth, where does it fit, and should I keep going." Getting that answer in 10 minutes instead of six weeks changes the math on a lot of decisions.

That's not nothing.