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.
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.
