LOOK INTO YOUR DATA, NOT AT YOUR DATA

The only real time AI-powered synthetic data platform built for researchers, by researchers

Find solutions that work for your brands, consumers, products, media & markets...
in minutes, not months.

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RUN PREDICTIVE SCENARIOS

Change any variable and see the cascading effects across the entire dataset

EXPAND YOUR DATA

Expand your empirical dataset by 3X or 5X or even 10X

ACCELERATE TIME-TO-INSIGHTS

Predict the most likely path to the results you want - with the data you already have

Simulacra Synthetic Data Studio is an AI platform for predictive, real-time, synthetic data generation and causal scenario modeling

Causal synthetic data generation

gives your team the hindsight, insight, and foresight to run high-impact scenario models from the data you already have. Simulacra SDS is built on Causal AI that goes beyond traditional correlation-based analytics to model cause-and-effect relationships - allowing you to make accurate inferences from low incidence or under-sampled cohorts within your survey data. With the Synthetic Data Studio, use Conditional Generation to boost overall sample sizes, integrate new knowledge, rebalance specific consumer cohorts, and parameterize "what-if" scenario models.

Who Uses Simulacra?

MARKET RESEARCHERS
CONSUMER RESEARCHERS
BRAND MANAGERS
PRODUCT DEVELOPER

Simulacra was Built for Market Researchers to Enable Fast Response to Emerging Trends

Simulacra was Built for Consumer Researchers to run Scenario Models on Pricing and Promotion Strategy

Simulacra was Built for the Brand Managers to find Effective Brand-intrinsic Marketing Strategies for their new Product Launch

Simulacra was Built for the Product Developers to Optimize New Products Under Development


The power of a data science team as a self-service real-time platform — understand, explore, and simulate infinite scenarios in an easy-to-use and always-accurate data studio.

HOW OUR PROPRIETARY AI IS DIFFERENT

Synthetic Data Studio flips the
research paradigm on its head

Traditional statistical methods are constrained by your sample and data size.
Pre-gen AI tools are limited to finding patterns and correlations. However, both fail to answer why those patterns exist or how interventions (e.g. price changes) will impact outcomes (e.g. sales volume).

Simulacra's Causal AI predicts the most successful path to your desired outcome - for any scenario.

HOW TO UNLOCK INSIGHTS FROM CONSUMER AND MARKET DATA

1.

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

TRADITIONAL RESEARCH CHALLENGES

  • DATA COLLECTION: Design the survey, recruit panelists, run the study - and hope there are statistically significant results.

  • ANALYSIS: Send the data to your analytics or data science team - and hope they prioritize your work, understand the study, and use the right methods for your report.

  • TIMING: Urgently remind other teams of the deadline for launch.

  • LIMITED FLEXIBILITY: Spend weeks perfecting your segmentation, only to have someone ask "But what about Gen Z digital nomads who...?" the day before presentation. (Have Gen Z data? Simulacra can model this.)

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 from your prior research.

  • NO CONSTRAINTS: Freed from limits like sample sizes or the need for strict statistical significance.

3.

Core Features
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.

  • MAP VARIABLES: Identify causal relationships between inputs (e.g. price, packaging, ad spend) and outcomes (e.g. purchase intent, brand loyalty).

  • ISOLATE DRIVERS: Determine which variables directly influence outcomes versus those that are nearly correlated.

  • SELF-SUFFICIENT RESEARCH: No need for outside support from data science teams — researchers can directly explore, model, and visualize their own studies and scenarios.

5.

Who Benefits—and How?

  • RESEARCHERS GAIN AUTONOMY:
    Everyone, and anyone, can use the platform to explore infinite scenarios in real time.

  • MANAGERS USE SMALL DATA FOR BIG DECISIONS:
    Generate statistically valid insights from small samples - without any loss in accuracy.

  • EXECUTIVES MAKE BETTER DECISIONS:
    Find what your competitors can't - see the path to success with actionable insights predicted from your data.

6.

Why It Matters

  • SPEED & AGILITY: Data-driven business can only move as fast as their analytics.

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

  • COMPETITIVE EDGE: AI is changing the world. Simulacra keeps you ahead of the curve.

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