Swivel Labs spent over a year building with AI — not just using it — before we ever took a client. That depth is what makes the difference.
Swivel Labs was built on a simple observation: everyone is paying for AI tools, and almost nobody has set them up properly.
We've spent over 130 days — thousands of hours — building systems with AI. Not casual usage. Deep, daily, production work. We've built products, written publications, and run an entire operation where AI is a core part of how we think and work.
That experience taught us something most consultants haven't learned yet: the same Claude or ChatGPT that gives you generic, unhelpful responses can produce genuinely excellent work — if someone takes the time to set up the room.
That's what we do. We take the tools you're already paying for and make them work the way you always wished they would.
Analytics engineer and builder. Before founding Swivel Labs, JP built data systems at X (Twitter), OpenSea, Circle, Getaround, and AssemblyAI.
He's spent his career making complex systems understandable and useful — first with data, now with AI. The through-line is the same: the technology is only as good as how well it understands the problem.
JP started Swivel Labs because he saw the same gap everywhere: smart people paying for powerful AI tools and getting mediocre results. Not because the tools were bad, but because nobody had taken the time to configure them properly.
Book a free consultation. No pitch, no pressure — just a conversation about where AI could make your work easier.