LOOK INTO YOUR DATA, NOT AT YOUR DATA

Simulacra is a Research Simulation and “what-if” Scenario Modeling platform that augments your existing studies with high‑fidelity synthetic data

With Synthetic Augmentation from Prior Research (SAPR), you can cut fieldwork by ~50%, explore low‑incidence cohorts, and run causal “what‑if” scenarios – in real-time.

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RUN ADVANCED
SCENARIOS
Change any variable and
see the cascading effects across the entire dataset
COMPLEX CONDITIONED DATASETS
Simply ask for the results you want to see and the platform will show you the.
EXPANDED  
DATASET
Expand the input data
by an initial generation
of 3X or 5X or even 10X

WHO USES SIMULACRA?

Product Developers

Optimize new products
under development

Market Researchers

Get insights from existing
research in seconds

Brand Managers

Find effective brand-
intrinsic marketing strategies
for new product launches

Consumer Researchers

Turn old data into new
answers—without the need
for new surveys

SOC 2 Type 2

Turn past research into future predictions

Simulacra Synthetic Data Studio (SDS) pairs Causal AI with high‑fidelity synthetic data to run real‑time “what‑if” scenarios using the data you already have. Extend prior research, cut new fieldwork, and decide faster.

Health & Body Care

Causal synthetic data generation gives your team the hindsight, insight, and foresight to run high-impact scenario models from the data you already have.
+ Read more
With the Synthetic Data Studio, use Conditional Generation to integrate new knowledge, boost or rebalance specific consumer cohorts & demographics, and parameterize desired behavioral attributes into a new synthetic dataset – allowing you to run what-if scenario models, discover causal relationships, and make new, up-to-date, predictions from prior research in real time.
Use it for concept, campaign development & testing, product sensory optimization, pricing/promo effectiveness, package design optimization, deep target cohort analysis…so much more.

Advertising & Marketing

Causal synthetic data generation gives your team the hindsight, insight, and foresight to run high-impact scenario models from the data you already have.
+ Read more
With the Synthetic Data Studio, use Conditional Generation to integrate new knowledge, boost or rebalance specific consumer cohorts & demographics, and parameterize desired behavioral attributes into a new synthetic dataset – allowing you to run what-if scenario models, discover causal relationships, and make new, up-to-date, predictions from prior research in real time.

Political Polling

Causal synthetic data generation gives your team the hindsight, insight, and foresight to run high-impact scenario models from the data you already have.
+ Read more
With the Synthetic Data Studio, use Conditional Generation to integrate new knowledge, boost or rebalance specific consumer cohorts & demographics, and parameterize desired behavioral attributes into a new synthetic dataset – allowing you to run what-if scenario models, discover causal relationships, and make new, up-to-date, predictions from prior research in real time.

Consumer Packaged Goods

Causal synthetic data generation gives your team the hindsight, insight, and foresight to run high-impact scenario models from the data you already have.
+ Read more
With the Synthetic Data Studio, use Conditional Generation to integrate new knowledge, boost or rebalance specific consumer cohorts & demographics, and parameterize desired behavioral attributes into a new synthetic dataset – allowing you to run what-if scenario models, discover causal relationships, and make new, up-to-date, predictions from prior research in real time.

A STUDIO, FIT FOR A (DATA) ARTIST

1.

The Data Studio revolutionizes
how market researchers
unlock insights from
consumer and market data.

TRADITIONAL RESEARCH CHALLENGES

OLD PROCESS: Researchers relied on analysts or data science teams to analyze data and create static reports.

TIME LAG: This process took days to weeks to get results.

LIMITED FLEXIBILITY: The analysis followed fixed paths, and exploring new insights required starting a new project

2.

What Makes The  Data Studio Different?

REAL-TIME DATA EXPLORATION: Instead of waiting, researchers can can now analyze data instantly.

DYNAMIC SCENARIOS: No need for new data collection — researchers can explore unlimited “what-if” scenarios.

NO CONSTRAINTS: We maintain statistical discipline while expanding effective sample size.

3.

Key Capabilities
of The Data Studio

ON-THE-FLY TESTING: Adjust variables and test new hypotheses in real time.

CHASE EMERGING SIGNALS: When new trends appear, researchers can investigate immediately.

EXPLORE DEEPER: Spot unexpected patterns and explore them further without starting a new study.

UNDERSTAND CONSUMER BEHAVIOR: See how changes in variables influence consumer preferences and purchasing decisions.

4.

Transforming the
Research Process

FROM RIGID TO AGILE: Move from fixed, step-by-step processes to a flexible, adaptive workflow.

SIGNAL-DRIVEN EXPLORATION: Instead of following a pre-set path, chase emerging insights as they happen.

SELF-SUFFICIENT RESEARCH: No need for outside support from data science teams — researchers do it themselves.

5.

Who Benefits—and How?

RESEARCHERS GAIN AUTONOMY: Teams no longer depend on analysts, reducing wait times.

FASTER, DEEPER INSIGHTS: Speed up the research process while uncovering deeper, unexpected insights.

ACTIONABLE BUSINESS DECISIONS: Stakeholders receive more timely and impactful insights.

6.

Why It Matters

SPEED & AGILITY: Modern business moves fast, and this tool lets research teams keep up.

GREATER CONTROL: Researchers have the power of a full data science team at their fingertips.

COMPETITIVE EDGE: Businesses with faster, smarter insights make better decisions, faster.

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