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From Photos to Packing Lists: How Mvio Won the First Tetrate AI Buildathon

Mvio won the first Tetrate AI Buildathon by turning moving inventory into a simple photo-to-structured-data workflow. Here's how they did it and why it matters.

From Photos to Packing Lists: How Mvio Won the First Tetrate AI Buildathon

Moving internationally is one of those challenges that sounds manageable until you’re staring at a house full of belongings, wondering how to catalog everything for customs, insurance, and shipping quotes. Your relocation company needs a detailed inventory. Your insurer needs item-by-item valuations. And you’re left with a clipboard, a pen, and a growing sense of dread.

That’s the problem Mvio set out to solve — and the reason it took home the overall winner title at the first-ever Tetrate AI Buildathon.

A Real Problem, Solved with AI That Feels Invisible

Mvio uses computer vision and dimension estimation to generate moving inventories directly from photos. Point your phone at a room, snap a photo, and the application:

  • Identifies items
  • Estimates dimensions
  • Outputs structured data in minutes, which typically requires hours of manual cataloging, phone calls to relocation companies, and coordination with insurers and customs brokers.

That speed means earlier shipping quotes, faster insurance processing, and fewer delays in international relocations.

What makes Mvio stand out isn’t just the technology — it’s the design philosophy. The AI works in the background. There’s no complex interface to learn, no prompts to engineer. You take a photo; you get an inventory. That’s the kind of integration that turns a proof of concept into something people actually use.

Mvio app dashboard showing 10 total items, 6.5 cubic meters total volume, and 2 rooms covered
Mvio's dashboard gives you a quick overview of your moving inventory
Mvio inventory list showing identified items with dimensions, including sectional sofa, sideboard cabinet, and dining table
Each item is identified with dimensions and room assignment

Why the Judges Took Notice

The Buildathon judges highlighted Mvio’s real-world usefulness and thoughtful design. Solving a genuine business problem — customs documentation, insurance claims, shipping logistics — in a way that reduces friction is harder than it sounds. Mvio delivered on both counts.

By requiring structured output at each step, Mvio ensures reliability: correct data for customs, accurate valuations for insurance, precise specifications for shipping quotes. That combination of speed and safety is what turns a prototype into a product people trust with high-stakes decisions.

Beyond the immediate functionality, the judges saw meaningful opportunities to layer in agentic capabilities:

  • Automated quote gathering from shipping providers
  • Marketplace listings for items you’d rather sell than move
  • Task coordination across the dozens of moving parts (literally) that an international relocation involves

That progression — build a functional application, graduate it with agentic features that expand its value, then earn trust through proven reliability — mirrors the approach enterprises take when deploying AI responsibly:

  1. Start with a focused use case
  2. Prove it works
  3. Then scale with confidence

What Mvio Earned

As the overall winner, the Mvio team received the following, giving them a platform to keep building and refining their vision:

Award
  • $1,000 in TARS credits
  • Continued Tetrate support with 1:1 coaching
  • Featured showcase

Meet Pauline behind Mvio

Pauline Barthelemy, builder of Mvio and overall winner of the Tetrate AI Buildathon
Pauline Barthelemy, builder of Mvio

Pauline Barthelemy built Mvio and took home the overall winner title at the first Tetrate AI Buildathon. Her focus on real-world usefulness and thoughtful UX — making AI accessible to people who would never open a terminal — is exactly the kind of builder mindset we want to celebrate. We’re excited to work with Pauline as she expands Mvio’s capabilities and brings the power of AI to more people navigating life’s big moves.

See all Buildathon winners · Connect with Pauline on LinkedIn

What This Means for Builders

The Tetrate AI Buildathon was designed to be collaborative rather than purely competitive. Participants shared ideas, offered feedback, and helped each other build better applications. Mvio emerged from that environment — not by outcompeting, but by solving a genuine problem with clarity and craft.

For builders looking to create AI-powered applications, Mvio’s approach offers a useful blueprint:

  • Find a problem that matters to real people
  • Integrate AI so it enhances the experience without complicating it
  • Build a foundation that supports future growth

That’s what moving fast while staying grounded looks like.

Build What Others Can Use

Mvio didn’t just use AI — it made AI accessible to people who would never open a terminal or write a prompt. That’s the shift worth paying attention to. The most impactful AI applications aren’t the ones with the most sophisticated models. They’re the ones that put real capability into the hands of real people through thoughtful UX.

If you’re building AI-powered solutions — or want to start — the Tetrate AI Discord Server is the community where builders connect, share ideas, and help each other ship.

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Join the Tetrate AI community.

Join us on Discord and start building the interfaces that make AI work for everyone, not just engineers.

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The Tetrate AI Buildathon brought together 16 teams building AI-powered applications with expert coaching and community support. Learn more about the event and all the projects at tetrate.ai/buildathon.

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