Zach delivering a keynote presentation on a dark stage, gesturing with one hand and holding a clicker.

AI for fine art logistics

The job here is having the record you wish you had taken, before the object moved.

Format

Keynote or Workshop

Delivery

In Person & Virtual

Audience

Museums & Shippers

Fees from

$10,000+

The claim is decided before the crate closes

Ask your underwriter where your losses come from and the answer is the road. AXA XL's fine art underwriters say most of the claims they see are transit or water damage. Storage and display barely register. The damage happens once an object is in someone else's hands, in a truck, through customs, across a handoff between custodians your registrar has never met.

The list of ways that goes wrong is longer than most people outside this work expect. Carriers writing inland marine cover for fine art underwrite against improper crating, shock and vibration, climate swings, water intrusion, and storage in uncontrolled conditions during a customs delay. Most of those leave no mark until someone opens the crate.

And when a piece arrives damaged, the argument is never really about the damage. It is about what you can prove about the condition it left in. The claim is settled by the record built beforehand, which is careful, unhurried work, and it is usually the first thing squeezed when a show has to ship on a date.

Everywhere else in logistics, the AI pitch is speed. In your world that pitch lands as slightly alarming. Nobody on your team wants a faster handler.

Your failure mode is an incomplete record. Nobody has ever lost a claim over a slow one.

What the technology already does today

At Yembo I built ScanMyHome. Walk a gallery with a phone and what comes back is measurement-grade: the room's dimensions, the wall cutouts, the doorway you have to get a crate through, and the objects in the space identified individually. No tripod, no laser, no specialist. Do the same in your storage and your vault is mapped. Do it at a venue before a traveling show and you know what fits before the truck is loaded.

A gallery is an interior space. So is a vault, a crate room, and the venue you are installing into next month. The geometry does not care what is hanging on the wall.

None of that is a roadmap item or a demo. ScanMyHome's output exports into Xactimate, which means insurance carriers already settle property claims against those measurements, and that is a useful bar for whether a number is trustworthy enough to argue over.

I am still not going to tell your registrars that software should write condition reports. It should not, and anyone selling you that has not handled anything fragile. A model that has seen ten million pieces of household furniture has never seen craquelure and has no business grading it. What it can do is guarantee that every object in a shipment was measured, photographed, catalogued, and timestamped, so your trained eyes spend their hours on the pieces that need judgment rather than the ones that only needed recording.

The practical guidance on insuring art on the move comes back to the same thing: document before it ships, because nothing you do afterward substitutes.

So what I bring your room is the view from inside a capability that already works on their spaces: what it does today, what it will be marketed as doing next year, and exactly where those two diverge. That is available about three years before the vendors selling into this market will admit any of it.

The other side of the crate

There is a second reason none of this is abstract to me. I make art. Lightwall is a kinetic light installation I built with the artist Rita Sus: glass, motors, radar, and a model that responds in real time to whoever walks up to it. It premiered at the California Center for the Arts Museum, and it is being prepared to exhibit at Dutch Design Week in Eindhoven in October 2026.

Which puts me, this year, on the other end of your paperwork. Getting an installation of glass and embedded electronics from a museum in California to a venue in the Netherlands is a fine art shipping problem, and being the person whose work is inside the crate teaches you something that reading claims data does not. The record I would want if that piece arrives wrong is the record I am arguing for on the rest of this page.

My work on AI in the moving industry covers the operational side of this in more depth, and my work on AI for insurance covers what happens on the carrier's side when a claim is contested.

Where I have taught and spoken

CiscoEtsyCarMaxPMIAICPA & CIMAVirginia TechCal State FullertonCydcorArkusNexusIAMEPAAUX BrightonBrighton SEO

Bring this to your institutions

Tell me the audience and the date, and I will tell you whether I am the right fit. If your event is better served by someone else, I will say so.

Most teams book the full day: the keynote plus the AI Opportunity Audit, a four-hour working session on your own workflows, at $25,000 flat.

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Questions program chairs ask

Does Zach Rattner speak about AI in fine art and museum logistics?
Yes. Zach Rattner speaks to fine art shippers, museum registrars, gallery operators, and the specialty moving companies that handle high-value collections. His talks cover AI-assisted condition reporting, inventory capture, and what a defensible record looks like when a claim is contested.
How does AI help with fine art condition reporting?
Roughly 60 percent of fine art insurance claims arise from transit, and those claims are settled on the documentation captured before an object moved. Zach Rattner argues that the useful role for AI in this work is producing a complete, timestamped visual record of every object before it moves. Claims are lost on incomplete records, and nobody in this industry is asking for faster handlers.
What does Zach Rattner know about high-value logistics?
Zach Rattner is the co-founder and Chief Technology Officer of Yembo, an AI platform used in more than 20 countries that turns a video walkthrough into a documented inventory with item-level detail. He holds 31 granted US patents, many covering computer vision applied to identifying and measuring objects in interior spaces.
Can AI measure and inventory a fine art collection?
Yes, and the technology is in production rather than experimental. ScanMyHome, which Zach Rattner built at Yembo, turns a phone walkthrough of an interior into a measurement-grade 3D reconstruction with floor plan, dimensions, wall cutouts, and individually identified objects. Insurance carriers settle property claims on that output, which is a useful benchmark for whether measurements are trustworthy enough to argue over.
Can AI measure a gallery, a museum, or an individual artwork?
Yes. ScanMyHome, built by Zach Rattner at Yembo, produces measurement-grade 3D reconstructions of interior spaces from a phone walkthrough, including floor plans, dimensions, wall cutouts, and identification of individual objects in the room. The underlying geometry problem is the same whether the space is a house, a gallery, a storage vault, or an installation venue, and the same capture measures the works in the room as well as the room itself.
Has Zach Rattner exhibited work in a museum?
Yes. Lightwall is a kinetic light and real-time AI installation Zach Rattner built with the artist Rita Sus. It premiered at the California Center for the Arts Museum and is being prepared to exhibit at Dutch Design Week in Eindhoven in October 2026. Zach Rattner is the technical director on the piece, which puts him on the institutional side of exhibition planning, installation, and international transit as well as the technology side.
What are Zach Rattner's speaking fees?
Zach Rattner's speaking fees start at $10,000 USD plus travel. The final number depends on the event type, the location, and whether the booking includes a workshop or a follow-up session.
Does Zach Rattner run workshops for collections and logistics teams?
Yes. Alongside keynotes, Zach Rattner runs working sessions for teams of 8 to 25 people, where the group maps its own condition reporting, inventory, and handoff workflows and leaves with a ranked list of where automation strengthens the record and where a trained human eye stays in the loop.