Understand
A better way to
furnish starts with
understanding
the room.
ARterior is building the room-context layer for furniture commerce—combining spatial understanding, recommendation intelligence, and true-scale AR before purchase.
Privately backed · Private investor conversations
Recommend
Preview
The room is the
missing context
in furniture commerce.
Furniture is still discovered on flat product pages, while the decision happens in a physical space. ARterior connects the two.
01 · The friction
Shoppers must imagine scale, fit, and style from a screen.
02 · The insight
A scanned room can turn context into a smarter shortlist.
03 · The opening
AR makes the final decision visible before purchase.
Start with the room.
Built, tested, and moving.
ARterior is already a working iPhone product, shaped by use in real rooms—not a fundraising concept waiting to be built.
Privately backed · Private TestFlight beta
01 · Working beta
Distributed through TestFlight
02 · Spatial foundation
Whole-room mapping and ARKit placement
03 · Product intelligence
Custom 3D models and dimension-aware filtering
04 · Early learning
Tested with students, young professionals, and interior designers
Revenue pathways under validation
One decision layer.
Multiple revenue paths.
ARterior’s monetization model is being validated alongside the beta. The product is designed to create value for shoppers, retail partners, and design professionals.
Commerce referrals
Earn from qualified product discovery and purchase pathways with retail partners.
Consumer premium
Offer advanced planning, saved spaces, and personalized design tools.
Professional tools
Equip designers, stagers, and property teams with faster client visualization.
The near-term focus is product learning, partner validation, and repeatable demand.
Business, design, and spatial computing—in one founding team.
Sanem Kaytancı
Co-founder · Business & go-to-market
Managerial Economics and Technology Management at UC Davis. Experience in marketing, brand, and user behavior.
Michael Inal
Co-founder · Product & engineering
Applied Math and Data Science at UC Berkeley. Background in software, spatial computing, AR/VR, and AI systems.
Let’s open the room.
We’re opening a limited number of private investor conversations with people who believe spatial intelligence can reshape how furniture is discovered and chosen.
Introductions are reviewed privately by the founding team.
Prefer a direct introduction? Email the founders.
For discussion purposes only. This page is not an offer to sell or a solicitation to buy securities.