Behavioral Intelligence for Southeast Asia
Know what Southeast Asian consumers will do — before they do it.
Built for the strategy and marketing leaders making real consumer bets.
Get in Touch
Behavioral Intelligence for Southeast Asia
Built for the strategy and marketing leaders making real consumer bets.
Get in TouchThe Problem
What people say and what they do diverge most where the stakes are highest. The bigger the bet, the worse the signal.
Rural, informal, underbanked, cross-border — the populations that decide whether a launch wins or dies are the ones no panel can reach.
You can't try three pitches, two prices, and a new segment before you commit. So you don't — you ship one version and hope.
What We Do
Simulate real populations. Understand every intent and barrier. Rehearse your decision.
How It Works
We start with your business question — not a survey brief. What decision would this change?
We build populations calibrated to hard, baseline data — census, financial regulators, World Bank. Each agent carries identity and distinct constraints, just like real consumers.
We simulate behavior, then interrogate the results — surfacing findings that traditional research routinely misses.
You get a complete insight package: segment profiles, insight report, and full dataset. Boardroom-ready.
Traditional research can't answer follow-ups. Ours can — re-run scenarios, test new variables, deconstruct intent. 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.
Use Cases
Will this category, this product, this segment actually move? Get the adoption curve before you commit the capex.
Test a new proposition, a price point, or a reason-to-buy. See why they'd buy, why they won't, and what it takes to move them — segment by segment.
Rural Java. Islamic finance in Aceh. Gig drivers in Bangkok. Size the opportunity in the populations no panel can reach.
Same question, six countries, one methodology. See where to go first and where to wait.
Cut the price 20%. Change the message. Shift the target. Re-run in hours and see what the bet actually costs.
Coverage
Additional Southeast Asian markets in development.
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.
Validating product-market fit before burning runway on fieldwork.
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 research that came back too late, and watched panels miss the segments that mattered most. Our team bridges deep consulting experience with AI research — and we built the platform we wished existed for the strategy and marketing leaders making real bets in markets where traditional research can't reach.
Tell us about your research challenge. We'll show you what's possible.