Who we are

Built by people who saw that marketers needed better

We're seasoned data scientists and growth operators who have watched brands waste budget using bad numbers. That inspired us to build the measurement and forecasting platform that would help marketers propel their brands forward.

Our story

It started by predicting
a number-one hit

We started in music. In 2019, we were building a marketing mix model for record labels that would tell them which songs to push, where to send the tour, and how to time a release. All three questions had the same underlying problem: standard attribution could not see the channels driving the most real impact. That meant "data-driven decisions" were made on incomplete information. So we built our first model to fix that. In April 2020, we used it to predict which song from a major album release would hit number one on Billboard. We got it right, with 96.3% accuracy.

Then live touring stopped overnight. COVID closed every venue, and the market we were serving disappeared. So we asked a sharper question: where does this measurement blindness hurt most? The answer was ecommerce. DTC brands were making million-dollar decisions on click-based tools that ignored anything a pixel couldn't see. Teams defunded awareness, brand campaigns, and upper-funnel spend based on data that was wrong in ways they couldn't detect. Cody joined as CTO, fresh off years of building machine learning systems for marketing measurement at Grubhub, and we rebuilt the model from the ground up for the ecommerce problem.

"Prescient AI exists to give brands a complete picture of what their marketing is actually doing. When you can see the full picture, the right calls follow."

2019 2026

What we do

Marketing mix modeling built for
modern growth teams

We measure the true impact of every channel, accounting for halo effects, saturation, and cross-channel dynamics that platform reporting cannot see. Models update daily, so the answer to "where should the next dollar go?" is always current.

The team

The people
behind the model

Behind the founders is a team that believes every ad dollar should be measurable. We combine deep expertise in Bayesian statistics and machine learning with real-world marketing experience to build models that actually reflect how advertising works.

A team of 30+, building since 2018.