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Chatbots Behaving Badly™

Own AI Before it Owns You - The Real AI Deals Happen Underground

By Markus Brinsa  |  May 8, 2025

Sources

By the time most marketing organizations discover a promising AI solution, it’s already halfway down the aisle with someone else. There’s a product. A roadmap. Investors. A mission statement. A pricing tier. And if you’re lucky, a customer success team that answers your emails—eventually.

But here’s what nobody likes to admit: if you show up that late to the party, you don’t get a say in the playlist. Sure, the demo looks slick. But try asking the founders to tweak the model for your agency’s actual needs. You’ll hear “we’ll consider it” or “that’s on the roadmap.” Spoiler: it isn’t.

And so, marketing teams keep stacking point solutions. One tool for attribution. Another for targeting. A third for creative scoring. Each one slightly misaligned, each one designed for someone else’s business model. Costs go up. Flexibility goes down. Frustration skyrockets.

Some organizations think they can fix this with brute force: just buy the whole company and force it into alignment.

And yes, the marketing organizations can do that. They’ve got the cash. They’ve got the M&A team. They’ll say they’re building the future, even if behind the scenes it’s duct tape and drama. If it goes sideways, they write it off and move on. Publicly? It’s innovation. Privately? It’s chaos. And good luck convincing the acquired founders to rebuild their life’s work just to fit your pitch deck. You might own the cap table, but that doesn’t mean you own the vision.

This is where SEIKOURI plays a different game.

We’re not waiting for AI solutions to be ready. We’re not attending launch events or chasing Series B hype. We plug into the AI underground. We’re down there with the loose prototypes, the GitHub ghosts, the pitch decks that haven’t even been pitched yet. Most of these startups haven’t incorporated. Some don’t even have a name. But we know what they’re building.

How? Because we know who’s funding them. We know which researchers are about to leave Meta or OpenAI to build their own thing. We track paper citations. We monitor where talent moves. We get pinged before the stealth site goes up because we’re part of the early signal chain—the investor whispers, the VC experiments, the founders still working out of a kitchen with two laptops and a dream.

We don’t wait for a PR cycle. We catch the pulse before it becomes a headline.

That’s the moment when marketing organizations should move. Because at that stage, everything is possible. Nothing’s rigid yet. You can shape the direction of the product. You can fuse your strategic needs into the foundation of the code. You’re not licensing features—you’re co-creating capabilities.

And here’s the kicker no one is talking about: you don’t have to bet everything on one of these stealth AI startups. You can grab three. Four. Six. All of them dirt cheap compared to anything post-Series A. And then you merge them.

One’s doing something brilliant with predictive media buying. Another cracked unsupervised ad segmentation. A third has a generative model that outperforms the big names—but only on fashion ads, and only because the founder’s obsessed with textiles. Separately, they’re curiosities. Together? They become your proprietary engine.

Now you own it. Your organization isn’t just using AI—it has a stack that nobody else can copy. Not because it’s on lockdown, but because it’s made from pieces that never made it to market alone. You stitched them together while the rest of the industry was busy reading trend reports.

This is what we do at SEIKOURI. We don’t pitch AI. We matchmake the pieces before the world knows they exist.

And if you’re still sitting around waiting for a case study before you commit, you’re not just missing the boat—you’re watching someone else turn it into a rocket.

About the Author

Markus Brinsa is the Founder and CEO of SEIKOURI Inc., an international strategy consulting firm specializing in early-stage innovation discovery and AI Matchmaking. He is also the creator of Chatbots Behaving Badly, a platform and podcast that investigates the real-world failures, risks, and ethical challenges of artificial intelligence. With over 15 years of experience bridging technology, business strategy, and market expansion in the U.S. and Europe, Markus works with executives, investors, and developers to turn AI’s potential into sustainable, real-world impact.

©2025 Copyright by Markus Brinsa | Chatbots Behaving Badly™