Your Digital Boat Partner
Available 24/7
AI Boat Buddy was built with one mission:
to make boat ownership easier, safer, and more transparent.
From market pricing and condition checks to known issues and repair estimates — our AI turns complex marine knowledge into clear, actionable insights in minutes, not weeks.
be smarter with AI Boat Buddy
What We Do
AI Boat Buddy analyzes listings, photos, and specifications to deliver fast, data-driven insights for buyers and owners.
It reads 299,000 boat listings, 30,000 spare parts and 225,000 fitment rows — what boats are actually asked for, and what it costs to keep them running.
Smarter boat decisions
Upload photos, enter details, and let our AI analyze the real market value, known issues, and repair costs — all within minutes.
The market value first — so you know whether the boat is worth booking a professional inspection for.
Instant price valuations with confidence ranges
Identify known issues by model, with repair cost estimates
Upload photos for AI-powered condition analysis
Download a professional PDF report to support negotiations
We believe that buying or owning a boat shouldn’t be stressful.
By giving every boater professional-level insights instantly, AI Boat Buddy helps you:
avoid costly mistakes
reduce ownership risks
and spend more time where you belong — on the water.
AI Boat Buddy is one inbox and one person. Write to info@aiboatbuddy.com and you get Kim — usually within a few hours. No ticket system, no support tier. If a report gets something wrong about your boat, tell us: that is how the database gets better.
Technology with Purpose
Behind AI Boat Buddy is one person: a boat owner who got tired of guessing what a used boat is really worth, and who built the database he wanted to have. More than 10 million filled data fields sit behind it — listings, engines and parts.
We do not publish an accuracy percentage. A single number would hide the thing that matters: every valuation tells you how many comparable boats it rests on, so you can see for yourself when the data is thin — and we say so when it is.