Most AI companies are full of shit. We're not one of them.
We build AI companies, advise founders who want the truth, and partner with domain experts who'd rather build than pitch. Berlin-based. Allergic to bullshit.
Studio
We build our own.
We build AI companies in industries where smart people are stuck doing dumb work. Real estate, niche marketing, creator economy. If the back-office is eating your margin, we're interested.
Consulting
We tell you the truth about AI.
Most AI consultants bill you for a strategy deck and disappear. We tell you what will work, what won't, and why. Then we stick around to build it. If your use case is garbage, we'll say so before you spend a dollar.
Ventures
You bring the domain. We bring the build.
Got deep expertise in a niche market? We come in as sweat equity. AI engineering, product, and operating system. We build it together.
We know what works. Here's how:
Not because we made it up. Not because we read a blog post. Because we've proven via negativa what doesn't work. By failing at it ourselves. Floor plans, tasks that need 100% accuracy, low-volume edge cases. We've burned time and money on all of them so you don't have to.
We're tightly plugged into the AI ecosystem and we have actual LLM experts on hand. Not some full-stack dev who watched a YouTube tutorial. If your use case doesn't make sense, we'll tell you. We'd rather lose a deal than waste your time.
The 5% of use cases that do work? They deliver 10-100x value. AI agents handling entire workflows that used to need a team. Companies going from 50 to 3 people in marketing. 80% margins through automation. That's where we point you.
We don't want to make money. We want to get results. The money follows.
What We Believe
Depth Over Breadth
You can't fake your way into tight-knit communities. We go deep before we go wide. One city. One niche. One relationship at a time. Little channels don't scale. That's the point.
Reality Over Hype
Most AI companies are full of shit. 1% of companies get 99% of the value, and they don't share because it's competitive advantage. We're honest about what works and what doesn't. That honesty is our edge.
Taste + Systems Over Headcount
One person with great taste and an army of AI agents beats a team with mediocre taste. We build systems that compound. Small teams with agents move faster because there's no coordination overhead. No politics. No meetings to align 50 people.
Results Over Software
Customers want results delivered, not software to learn. We're service-first, software-second. Build automation internally, deliver results externally. Only productize after proving the pattern 50+ times.
Elevation Over Exploitation
We've seen what happens when tech optimizes for engagement over dignity. AI is a chance to do it differently. Automate the work people hate so they can do the work they're actually good at. That's the whole point.
“A 10-person team with AI agents will consistently outcompete a 100-person team without them.”
Not theory. Not a tweet thread. Lived experience.
We've watched companies dissolve entire departments. Not because they fired people, but because agents made the departments unnecessary. The org chart of the future has three humans and a Slack channel full of bots. We're already there.
We believe it because we've built this way. We are the proof.
Lab
How We Think, What We Build
Videos, writing, tools, and open-source — proof of work, not content marketing.
What we're betting on
SaaS Is Dying
The entire SaaS model is built on selling you a tool and making you do the work. AI flips that. Customers don't want dashboards - they want the outcome the dashboard was supposed to help them get. The winners won't sell software. They'll sell results.
The Context Layer Is the Moat
AI agents are becoming commodity infrastructure. The hard part is the layer between the agent and your data - domain knowledge, industry logic, the context that turns a generic chatbot into something that actually knows what it's doing. Anyone can get to 80% with ChatGPT. Getting to 99% takes deep knowledge wired into every workflow.
Curiosity Over Hype
Every week there's a new "everything has changed" moment in AI. Most of it is noise. The only thing that matters is staying curious enough to tell the difference - and adapting fast when it's real. No attachment to last month's plan. No ego about being wrong. Just a bias toward learning and moving.