Two practitioners.
No handoffs.
We kept seeing the same thing: AI investment without clear P&L connection. Consultants who deliver decks and demos, not systems. Teams excited about technology but stuck on where to start. So we built something different.
Our Story
Built for what's next.
Justin and Kellan have spent the past decade building data, AI, and operational solutions with companies in every industry you can name. Over the past few years, they've had the same front-row seat to a growing problem.
Companies were spending six figures on assessments that produced strategy decks nobody executed. Pilots launched with fanfare and died quietly. The gap between AI hype and actual business results kept growing.
Tiny Bottle AI was the answer. Take everything they'd learned about what works, strip out what doesn't, and build a firm that starts with economics and ships real software. The name says it all. You don't need an ocean of AI. You need a concentrated dose in exactly the right place.
Justin Mannhardt
Co-Founder & Principal
Justin has spent his career building data and AI solutions, and leading growing teams. Hundreds of projects, every kind of company, one constant: make the technology actually matter to the business. When generative AI hit, he was building with it before most people finished reading the headlines.
Justin sees what most consultants miss: the connection between a company's data infrastructure and its P&L. He builds solutions that make that connection explicit and measurable.
Kellan Danielson
Co-Founder & Principal
Finance, operations, technology, process. Kellan has made a career of connecting the dots between how companies operate and how they grow and thrive. He jumps on opportunities to work problems most consultants won't touch. He was one of the first to put AI to work inside real business operations.
Kellan brings the operational lens. He knows that the best AI solution is worthless if it doesn't fit how people actually work. Adoption is a design problem, not a training problem.
AI should serve the P&L
Not the other way around. If it doesn't connect to a number your board cares about, it doesn't matter how impressive the demo is.
Start with the business
The best AI strategy starts with understanding the business, not the technology. Your P&L tells us where to look. Your operations tell us what's possible.
Adoption is a design problem
Not a training problem. If people don't use it, you built the wrong thing. We design for operational reality, not org chart theory.
Ship fast, measure everything
Iterate with purpose. A working prototype in two weeks teaches you more than a strategy deck in two months.
Let's talk.
No pitch deck. No discovery questionnaire. Just a conversation about your business and where AI might move your numbers.
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