Human Decisions Are Complex. We Model Them for Better Outcomes.

Custom Synthetic Populations with tailored populations

  • Test messaging
  • Launch products & pricing
  • Run surveys
  • Forecast purchase & adoption
  • Shape policy
Synthetic users1 million+

Representative populations that capture the diversity.

Psychological engineProprietary

Every project starts with a custom psychological model designed for your domain.

Individual precision89%

of complete-profile performance

Simulation speed0.003sper persona

Millions of simulations. Secure, private, and built to scale.

Case Study

Luxeire: Luxury Design Brand

Luxeire is a direct-to-consumer luxury women's apparel brand creating elevated wardrobe staples for women done compromising on comfort, care, or confidence. Founded by mother-daughter team Gina and Margot Adams, it pairs luxury design with high-performance fabrics: flattering, breathable, machine washable, built for the pace of modern life.

Read the case study →

“How should a luxury apparel brand introduce itself to a new target audience?”

Beyond personas and predictions.Powered by a century of behavioral science.

Most simulation companies learn from large datasets to predict what people will do. We model why they decide, and what would change the outcome.

Build your custom audience. Define exactly who you need to hear from and discover how they react before the market does.

How it works
MemoryBeliefsEmotionsValuesTraitsContext

Scalable by design. One platform from ten profiles to millions, with data privacy and security built in, and no personal data at risk.

Learn more
Scales to millions of profiles
Data privacy by design
Enterprise-grade security

Scientific foundation. Every synthetic mind is grounded in peer-reviewed behavioral science: psychology you can trace, not a black box.

Explore insights
Behavioral scienceCognitive psychologyDecision theoryArtificial intelligence

World class advisors. We connect AI and human science, guided by leading minds in behavioral research, technology, and enterprise strategy.

Meet our advisors

Early Customers and Design Partners

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Frequently asked questions

What is Heura Lab's Decision Studio?

Decision Studio enables you to build a synthetic population that reflects any audience. Use it to test messaging, understand what people know and believe about a topic, and anticipate how they will consume or purchase.

What makes Heura Lab different?

Most synthetic populations rely on historical data and struggle with new situations or limited data. Heura Lab uses behavioral science to model why people make decisions, not only what they have done before, so predictions remain reliable for new products, messages, and audiences.

How accurate are your synthetic populations?

We validate our simulations against real human survey data, measuring both population-level trends and individual differences. Our research shows that adding psychological characteristics nearly doubled individual-level accuracy on opinion questions compared with demographics alone. We can also validate results against your own data using previously unseen questions.

How large can synthetic populations be?

We can simulate up to 1 million synthetic people, enabling us to represent diverse audiences and analyze smaller subgroups with confidence.

Does it replace our existing research?

No. Use it to iterate quickly and narrow 100 options down to the few worth testing, then validate those with real-world research.

How long does a study take?

Seconds. We process 10,000 synthetic people in approximately 30 seconds, so you can change a variable and rerun immediately.

Is real personal data used?

Not by default. Our synthetic populations are built using aggregated, de-identified data. We can also incorporate your own customer data to improve audience-specific accuracy, subject to appropriate privacy safeguards.

Trust Center

Heura Lab is committed to the safety and wellbeing of everyone who interacts with our company and products. We are developing a comprehensive set of security measures, protocols, and documentation to protect customer data and outcomes. This reflects our commitment to transparency and to building an interdisciplinary approach that helps AI systems and organizations better understand and positively influence decision-making across business, public policy, non-profits, government, and technology.