Meet Tommy.

The Engine Behind Our Predictive Intelligence.

Tommy is a flagship example of Tunnl’s proprietary AI capabilities, delivering scalable, privacy-conscious predictive modeling without requiring extensive raw data inputs.

From Data Points to Decision Intelligence

The Tunnl Modeling Engine (Tommy) is an AI-powered automated modeling engine developed by Tunnl that transforms inputs into high-fidelity predictive insights. It takes an unrepeatable database of proprietary public opinion and behavior data and compresses thousands of associated data signals into a compact, vectorized representation of individuals, known as a digital fingerprint. These vectors serve as the foundation for machine learning models that forecast behaviors, preferences, and audience affiliation at national scale.

WHAT TOMMY DOES

And Why It Matters

Tommy’s proprietary pipeline integrates advanced deep learning methods with large-scale preprocessing and real-time model deployment. It consists of three primary stages:

Vectorization → Turning Basic Info into Rich, Predictive Profiles

We start with simple information—and use AI to create a detailed digital profile that captures their likely behaviors, preferences, and background. Think of it as building a smart snapshot of each person based on thousands of signals.

Modeling → Finding Patterns That Predict Behavior

Next, we use real-world data—like survey responses or past behavior—to teach our models what patterns matter. This helps us understand how people who look similar tend to think, act, or respond to certain messages.

Scoring → Applying What We’ve Learned to Everyone

Once trained, our models are applied across the entire U.S. adult population. Each person gets a score based on how likely they are to care about a topic, support an issue, trust your brand, or respond to a campaign. These scores fuel smarter targeting and messaging.