Space intelligence platform
Auris is the behavioral AI layer for commercial interiors. We measure how people actually move through, dwell in, and experience designed space — then give operators, designers, and manufacturers the intelligence to make it perform.
What is Auris
The commercial interiors world has always worked on instinct. A designer finishes a hotel lobby, hands over the keys, and never finds out whether it performed. An operator rearranges furniture based on staff feedback and anecdote. A furniture brand ships a million pieces every year with zero knowledge of how any of them are actually used in the wild.
Auris changes that. We deploy privacy-safe behavioral sensors and train AI models on how real humans move through, dwell in, and interact with commercial space — and turn that data into the clearest picture of spatial performance that has ever existed.
Privacy-safe sensors capture real-time behavioral data across your entire commercial floorplan — zero faces, zero PII, zero footage ever stored.
Our AI engine translates raw behavioral patterns into a living, intelligent model of how your space performs — updated continuously, readable instantly.
Ranked layout recommendations and performance projections give every stakeholder the evidence to make their next design or business decision with confidence.
The problem
The commercial furniture and interior design industry is worth over $185 billion globally — and operates almost entirely without post-deployment data.
Hotels, co-working spaces, and retail operators rearrange furniture based on staff instinct and guest anecdotes. The revenue sitting in their own floor plan — unmeasured, untouched — is the most expensive blind spot in their building.
Hospitality & retailA $2M lobby redesign is judged by aesthetics alone. No interior designer can tell a client "this configuration increased dwell time by 34%" — because no one has ever measured it. Auris gives designers that answer, in data.
Interior design firmsFurniture brands ship millions of pieces and receive zero intelligence on how they perform in the real world. R&D cycles run on controlled lab tests and warranty complaints — not behavioral reality. Auris closes that loop for good.
Furniture manufacturersHow Auris works
Sensors arrive pre-configured. Magnetic ceiling mount. No drilling, no electrician. A 5,000 sqft floor is covered in under 2 hours.
Upload your floor plan. Drag sensors to their positions. Auris stitches a unified spatial model in minutes.
Silhouette-only behavioral data is captured. No footage stored. Your Space Score builds in real time from day one.
After 72 hours, your first Space Score report is generated — with zone breakdowns, performance gaps, and ranked recommendations.
Make a change. Track its impact. Every modification builds an evidence base, so your space gets smarter over time.
The platform
Auris serves four distinct stakeholders with intelligence products tailored to their role — all powered by a single, compounding behavioral dataset.
The privacy-safe sensor that sees everything except faces. Ceiling-mounted, edge-processed, and fully offline-capable — it captures the silhouette behavioral data that powers every Auris insight, with zero PII ever leaving the device.
A single 0–100 composite score that tells you exactly how hard your space is working. Built across four dimensions — Revenue Efficiency, Comfort Index, Circulation Friction, and Social Density — benchmarked against real-world deployments.
The only design tool that cites human behavioral evidence for every layout recommendation. Upload a floor plan, define your objective, and receive AI-generated alternatives ranked by predicted Space Score — each backed by real-world deployment data.
Anonymised post-deployment intelligence for furniture brands. Which SKUs underperform in co-working versus hospitality? Which configurations generate the highest replacement triggers? R&D data your team has never had — delivered quarterly, under NDA.
The market context
The founder
Saksham Jain
Founder & Chief Executive Officer, Auris
Saksham Jain founded Auris from a single observation that wouldn't leave him alone: the most beautifully designed commercial spaces in the world have no way of knowing whether they're actually working. After spending years at the intersection of computational design and business strategy — watching architects present finished lobbies with no mechanism to ever learn how a guest moved through them — he decided to build the tool that should have always existed.
Auris began as a question about feedback loops. How does a hotel operator know which seating configuration drives more F&B spend? How does an interior designer prove that their $2M redesign returned on its investment? How does a furniture brand understand why one of their product lines generates three times the warranty claims of another?
The answer was behavioral data. And the reason it didn't exist was that nobody had built the right hardware to capture it, the right AI to interpret it, or the right commercial model to make it accessible to the entire interiors value chain. Under Saksham's leadership, Auris has built all three.
"Every beautiful space deserves to know how beautiful it really is — not just on opening night, but every single day it's open. That's what Auris is for."
Auris is currently in closed beta with a select group of hospitality operators, interior design firms, and commercial real estate developers. Request access and we'll be in touch within 48 hours.