Human insights,
revealed by AI.

Featured At

Transform Your Data Into AI-powered Models That Predict Human
Intelligence.

Designed by research experts, these models unlock faster insights to help you act with confidence in a complex landscape.

How it
works?

Develop Digital Twin

We use human data to develop individual-level models that can predict human intelligence.

Validate

We use a multi-step process to validate the model against real-world data to ensure your team can query with confidence.

Query

Run pulse surveys or interviews to quickly generate insights representative of your target audience.

When to Use?

Niche Audiences

A cost effective and time savings way to continuously generate insights from difficult-to-reach audiences.

Innovation Assessments

Rapidly test hypotheses.

Scenario Testing

Rapidly explore the impact of various market scenarios.

Sensitive Topics

Understand hypothetical reaction to questions that may be too sensitive or impossible to directly ask your audience.

Small Scope

Pulse your audience when a full traditional study is not warranted.

Ready to better predict your audiences needs and reactions?

Discover the power of conversational AI to gain deep human understanding, faster.

Get Started
Case Study

Are Digital Twins Just Virtual or a Reality for Life Science Insights?

The rapid evolution of large language models (LLMs) has made simulated data models like digital twins increasingly compelling for market research. These AI-driven solutions promise faster, scalable, and more precise insights. However, their success hinges on addressing critical challenges such as biases, privacy risks, and data drift. Sparq Intelligence embarked on a mission to explore the potential of digital twins to revolutionize healthcare insights, starting with physician perspectives on gene therapies.

The Challenge

Reaching niche physician audiences with traditional research methods was too slow and costly to deliver insights before critical decisions were needed.

Approach

  • Conducted a survey with 200 U.S. physicians to explore perceptions of gene therapies
  • Trained AI-powered models to simulate the thought processes, behaviors, and attitudes of these physicians
  • Compared AI digital twins’ outputs against human responses to validate the model
  • Leveraged trained digital twins to test additional scenarios without needing to restart new research

Outcomes

  • Digital twins’ responses aligned closely with human counterparts’ data
  • Reduced research timelines to deliver insights in days
  • Lowered costs significantly compared to traditional market research methods
  • Enabled the study of hard-to-reach audiences including specialists
  • Provided a scalable framework for future research needs

Accreditation

Speed and accuracy are critical: decision-makers are often tasked to do more, with less. Decisions may be made without enough insight to guide strategy.

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Built by Researchers.
Powered by AI.
Built by Researchers.
Powered by AI.
Built by Researchers.
Powered by AI.
Built by Researchers.
Powered by AI.