Prepared for Sands China Ltd · Marina Bay Sands
SimStudio creates thousands of AI replicas of your real customers — to predict what they'll buy, watch, and share, before you spend a dollar.
The Scale
Marina Bay Sands is investing $8 billion in its expansion — a new tower, a 15,000-seat arena, 570 luxury suites. Every marketing dollar for this launch must be precisely targeted.
Source: LVS Q4 2025 Earnings, MBS IR2 Announcement
The Challenge
0+
Events staged at MBS in 2024
0.0B
Total visitors to Sands properties — ever
?
Which headliner fills the new 15K-seat arena on opening night?
Source: Sands China Press Release Aug 2025, MBS Annual Review 2024
"There are not enough Jacky Cheungs and Bruno Mars to fill the venues."
David Baxley
Regional VP Entertainment, Sands China & Marina Bay Sands
IAG Entertainment Panel, September 2025
The Solution
We build AI replicas of your real customers — trained on their actual behavior data. Then we show them your ads, events, and offers before you go live.
01
Ingest
Feed real customer behavior — purchase history, browsing patterns, ticket purchases
02
Replicate
Fine-tune LLMs to create thousands of AI agents that think like your customers
03
Simulate
Show them new campaigns, events, pricing — get predicted reactions in minutes
04
Optimize
Iterate on creative, targeting, and pricing before spending a single dollar
Proof of Concept
50 AI agents predicted movie ratings that matched real IMDB scores — averaging 3.2/5 vs the actual 6.4/10 (equivalent 3.2/5).
SimStudio — MovieLens/IMDB Audience Simulation Demo
50
Simulated agents
3.2 / 5
Predicted avg rating = actual avg
10-12s
Per simulation run
Proof of Concept
AI agents predicted Amazon product reviews with only 0.6/5 error rate — demonstrating precise alignment with real consumer behavior.
SimStudio — Amazon Consumer Behavior Prediction Demo
0.6 / 5
Average prediction error
Real Data
Trained on actual purchase histories
Cross-domain
Agents generalize to unseen products
For Sands
Before signing an artist for the new 15,000-seat arena, simulate 10,000 of your actual past ticket buyers. Predict fill rates, optimal ticket pricing tiers, and which demographics drive sellouts.
Reduce booking risk by testing before committing artist fees
Running a new 'Above Beyond' brand campaign? Show it to 5,000 simulated MBS guests first. Know which creative drives room bookings vs. restaurant reservations vs. show tickets.
Optimize creative allocation across $100M+ annual ad spend
Your guests travel between Macau and Singapore. Simulate how a Venetian Macao VIP responds to an MBS offer — and vice versa. One customer model, two properties.
Unlock cross-sell between Sands China and MBS
The $8B expansion needs a flawless go-to-market. Simulate the first 100,000 potential guests. Which amenities do they book first? What price points convert? Which channels reach them?
De-risk the most important launch in Sands history
Traction
Active Engagements
Grab
SEA's largest super-app. Working with their marketing team on ad creative simulation.
Shopee
SEA's largest e-commerce platform. Exploring audience prediction for campaign optimization.
Research Foundation
Prof. Yizhou Sun, UCLA
Co-founder. Leading researcher in graph neural networks and user behavior modeling. 20,000+ citations.
A*STAR IHPC, Singapore
Active research collaboration on computational social science and large-scale agent simulation.
Backed By
Prominent VCs across Asia & Silicon Valley
Backed by leading venture capital firms spanning Asia and Silicon Valley with deep expertise in AI and enterprise technology.
We'd love to run a proof-of-concept with your entertainment or marketing team — simulate audience response for an upcoming event or campaign. No commitment, just data.
Confidential · Prepared March 2026