Behavioral Intelligence for Southeast Asia
Behavioral Intelligence for Southeast Asia
The Problem
Surveys capture what people say — not what they do. The gap is where strategies fail.
The segments that matter most — rural, informal, underbanked — are the ones panels can't reach.
$30K–$60K. Six to twelve weeks. By the time results arrive, the decision is already made.
What We Do
Higher accuracy, more flexibility, with a fraction of the cost and time taken.
| Traditional SEA Study | Mirra Labs | |
|---|---|---|
| Cost | $30K–$60K per market | Fraction of the cost |
| Timeline | 6–12 weeks | 24–72 hours |
| Sample | 1,000–3,600 respondents | 1,000–10,000 agents |
| Accuracy | Stated intent | Predicted behavior |
| Follow-ups | Full cost each time | Marginal cost |
| Depth | Adoption rate only | Drivers, barriers, levers per segment |
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
Which hypotheses are worth spending 12 weeks of fieldwork on? Find out in 48 hours.
Run your existing survey population through new questions — then decompose the "why" behind each answer.
Rural Java. Islamic finance in Aceh. Gig drivers in Bangkok. The populations panels will never reach.
Same study across Southeast Asia — Indonesia, Thailand, Vietnam, Philippines, Malaysia, Singapore, and more. One methodology, comparable results.
Lower the price 20%. Shift the message. Target a new segment. Each iteration: hours, not months.
Coverage
Additional Southeast Asian markets in development.
Who This Is For
Strategy teams and research cases across SEA offices
Banks, insurance companies, and fintech launching new products or entering new markets
Product launch decisions, pricing studies, and market entry research
Policy testing, public communication simulation, and financial inclusion research
About
Mirra Labs was built by a team that bridges two worlds: former top-tier management consultants who know what insight needs to look like in a boardroom, and AI researchers passionate about pushing what's technically possible. We've sat on the other side of the table — commissioning research, waiting weeks for results, presenting findings to C-suites. We built the platform we wished existed.
Tell us about your research challenge. We'll show you what's possible.