Real Voices. Superior Advertising. Thriving Media.
CivicScience provides the Layer 1 data foundation necessary for the entire AI industry to ensure the validity, accuracy, richness, and reliability of consumer and market simulations.
In addition to fundamentally improving the underlying models, CivicScience data improves reliability, heterogeneity, and precision of research, marketing, and advertising applications built upon them.
Next-gen research & training systems
Enriched, Calibrated
Emerging platforms predict what behavior will occur. CivicScience supplies the when, how, and why — psychographic, attitudinal, and longitudinal data that reveal the traits driving future behavior. This psychographic and attitudinal data is what separates accurate AI models from ones that predict behavior without understanding it.
Most of the data used to fuel LLMs is flawed with human bias. Due to this flaw, AI models often fail in accurately presenting human behaviors and attitudes, particularly among underrepresented or stereotyped groups. Our data serves as an external audit that guarantees validity across all demographic groups and corrects AI model bias at scale.
Social Change Detection
Models trained on past data become frozen versions of past populations. CivicScience’s always-on polling captures shifts in political attitudes, social norms, and brand perceptions in real time. Our always-on polling captures shifts in attitudes, norms, and brand perceptions before they show up in behavioral data.
AI simulations produce predictable, coherent answers — erasing discovery. Our empirical data surfaces the unexpected, contradictory responses that reveal niche segments and minority viewpoints. These minority viewpoints and niche segments are invisible to synthetic data — and often the most strategically valuable signals.
What is ground truth data in AI? Ground truth data is empirically collected, and real-world data is used to train and validate AI models. Unlike synthetic or scraped data, it reflects actual human responses — making it the benchmark against which model outputs are measured.
How does CivicScience data support AI model training? Our continuously updated survey data provides psychographic, attitudinal, and behavioral signals that enrich AI models with the “why” behind consumer decisions — data points that behavioral or synthetic datasets can’t supply.
How does real human polling data reduce AI bias? AI models trained on synthetic or web-scraped data risk amplifying existing biases and erasing demographic diversity. CivicScience’s empirical polling across representative population samples provides the external validation needed to audit and correct that drift.
What makes CivicScience different from other AI training data providers? Most data providers offer static or scraped datasets. CivicScience captures over 1 million fresh survey responses daily, providing AI systems with a living data layer that reflects how consumer attitudes actually change over time.
We are actively seeking B2B and academic partnerships with advanced platforms, agencies, and brands to become a Layer 1 Data Supplier.
Real Voices. Superior Advertising. Thriving Media.