Decision Simulation for Southeast Asia
Rehearse every SEA consumer bet — before you make the call
Built for the leaders who own the outcome
Get in Touch
Decision Simulation for Southeast Asia
Built for the leaders who own the outcome
Get in TouchWhat We Do
Segments are custom-built per study — these are illustrative. View on desktop to explore the full interactive network.
Use Cases
The kinds of calls we help you rehearse. The methodology fits any consumer decision — click any to see the output.
Who would sign up, who won't, and which segment to target first.
Why they'd buy, why they won't, what moves them.
Size the opportunity in populations no panel can reach.
Same question, six countries, one methodology.
Cut the price. Change the message. See what the bet costs.
How It Works
We start with the decision you need to make — the launch, the price move, the segment bet.
We build populations calibrated to hard, baseline data — census, financial regulators, World Bank.
We simulate behavior, then interrogate the results.
Segment profiles, insight report, full dataset. Boardroom-ready.
The population doesn't reset between questions — so neither does your thinking. Change the price. Swap the segment. Stress-test the assumption. Hours, not months.
Proof Points
Predictions matched real-world behavior — without seeing the results first.
Models reliably rank segments in the right order.
Indonesia, Thailand, Philippines, Vietnam, Malaysia, Singapore, and more.
Against census, regulators, and World Bank — multiple independent sources.
Agentic behavioral simulation is a research methodology with growing global adoption, rooted in Stanford's Generative Agents research (ACM Best Paper 2023). Our framework builds on peer-reviewed work in LLM behavioral calibration — including probability estimation methods (COLING 2025) and persona effect quantification (ACL 2024). Every population is anchored to authoritative baseline data: national census bureaus, central banks, and World Bank.
Who This Is For
Targeting new segments and launching offerings.
Making segmentation, pricing, and feature calls.
Launching products and testing positioning.
Designing for emerging risk pools and underpenetrated segments.
Testing communication, inclusion programs, and behavioral interventions.
Adding segment depth to client research engagements.
About
Mirra Labs was built by operators who lived the problem. We sat in strategy seats where decisions were made on incomplete data, waited weeks for answers that came back too late, and watched too many bets get placed on segments nobody had really seen. Our team bridges deep consulting experience with AI research — and we built the platform we wished existed for the strategy and growth leaders making real bets in markets the old playbook never really saw.
Tell us about the decision you're trying to make. We'll come back with an answer, not a proposal.