Point your phone at any room. ItemMap builds a 3D inventory automatically—so you never lose track of anything again.
Mobile app + web dashboard. Scan rooms with your phone, search your inventory online.
Free to start: a couple hundred items and two full weeks of everything. No card required.
Scan any room
Just walk through with your phone
Your inventory goes online
Scan on your phone, search from your computer
The same slow sweep works everywhere — half a living room or a handful of things on a table. Items appear while you're still scanning.
Start with half a room
One sweep, and the whole set is mapped
Packing? Scan the box as you fill it
Everything stays searchable after the lid closes
This one was about to go delinquent. One walkthrough with ItemMap and every box became a named, priced, searchable inventory — hard inventory problems are the whole point.
Blazing-fast search powered by SyncEngine
Share items with individuals or groups
This is what home inventory should be.
Built for real life, not perfect showrooms.
Sweep your phone over your stuff, then let your AI loose on it. ItemMap connects straight to ChatGPT and Claude, so you can ask what you own, track down where something went, or tidy up names and rooms just by chatting.
Built on the Model Context Protocol. Point any MCP-capable assistant at mcp.itemmap.app/mcp.
Every item gets a name and description automatically. No typing, no tagging, no barcodes.
Not just a list—a spatial map of your space. See exactly where everything lives.
Is it really worth that? ItemMap automatically finds retail links, resell links, and recent actual sales that have gone through.
PDF for insurance, share rooms with family members. Your data, your format.
ItemMap pairs real-time 3D reconstruction with AI identification so a phone camera can do what clipboards, spreadsheets, and barcodes never could: keep a live, priced, searchable record of physical things. Homes today — and everything that needs counting next.
Founder & CEO
Connect on LinkedInTim is an expert in ML infrastructure, computer vision, and real-time 3D systems — he builds ItemMap's entire reconstruction and identification pipeline himself. He was employee #36 at DataRobot, joining at Series B and helping scale the company over 6.5 years from 20 engineers to a $6B valuation—building production ML systems and holding release authority for major enterprise platform versions (2.0 through 5.0).
At ItemMap, Tim is combining real-time SLAM, AI-powered object recognition, and 3D spatial mapping to solve a problem everyone has: knowing what you own and where it is. The system uses smartphone video to automatically scan, catalog, and track physical items—no manual entry, no barcodes, just point and walk.
ItemMap is out. Scan your first room in the next ten minutes.
