Prescient AI: About Us & Meet the Team
Skip to content

Meet Prescient AI.

Unlocking the full potential of your digital marketing with AI-driven solutions.

We pride ourselves on providing actionable insights from data to guide your marketing efforts in the right direction.

100+

clients

$20M

in funding

$1.5B

spend measured

55+

data sources optimized

Meet the team.

Ali has a background in data engineering and analytics and previously worked with retailers to enhance their data consumption, migrations, and data warehousing. He also has experience in analytics and helped companies become data-driven organizations in the retail space. Ali holds a B.S. in Computer Science.

Allan is a data scientist with a background in cognitive neuroscience and statistical software development. He has published peer-reviewed statistical libraries for robust estimation. At PrescientAI, Allan focuses on forecasting/backtesting methodologies and Bayesian approaches to timeseries analysis.

After earning her B.S. in Statistics from UC Davis, Citlally began her career at the startup StackShine Inc. as a data analyst intern, where she built pipelines and optimized workflows. Since then, she’s honed her skills in designing scalable systems while helping teams with their data management.

Citlally Contreras headshot

Harrison started his career in eCommerce SaaS sales at Klevu before joining Friendbuy as the founding BDR. He specializes in sales development, new business growth, and creative outreach. He graduated from the University of South Carolina with a degree in Business Management.

Harrison Baucom headshot

Ian started his career in software/ML working as a software and machine learning engineer for a cyber security firm. Later, he was a founding member of the ML team at Kustomer, which was acquired by Meta. At Prescient, he focuses on making our ML solutions production-ready but touches many projects. Ian holds a B.S in Computer Science.

Judith holds a joint Ph.D. in Brain & Cognitive Sciences and Linguistics from the University of Rochester. Before joining Prescient, she taught at Stanford and directed a lab conducting research on language use and comprehension in context, using experimental methods and computational modeling.

judith degen headshot

Katelyn built the data platform at Caraway Health and established the product analytics function before joining Prescient AI as a Data Scientist. She has B.A. from Ohio Wesleyan University, where she double majored in Data Analytics and Business Administration and minored in Economics.

Kristen has worked in Operations for Clearbit (acquired by Hubspot), Codecov (acquired by Sentry) and Cisco. At Prescient, she helps with CRM administration, sales and revenue operations, and data reporting and analytics. She holds a Masters in Epidemiology and Biostatistics from UC Berkeley.

Kristen Bricker headshot

Kyle has a background in data science and was Prescient’s first non-founder full-time employee. He’s worked at multiple startups that have raised a Series A and has co-authored papers on topics that combine data science and social science. Kyle holds a B.S. in Information Science from CU Boulder.

Laura started her sales career at unicorn startup pendo in Raleigh, NC before joining Klaviyo as part of the founding SMS sales team. She previously worked in entertainment working for The Walt Disney Company and TMZ, and graduated with honors from the University of North Carolina at Chapel Hill.

Nick joined Prescient AI as an intern in 2020 before coming on full time as a Jr. Data Scientist in 2021. He was promoted to Data Engineer in 2022 and focuses on developing new data integrations and tools for maintaining data quality. Nick holds a B.S. in Biomedical Engineering from Purdue University.

Paul is a former lawyer who has been working in digital marketing for over a decade. He worked on Meta’s global team and later managed their Fortune 500 B2B advertising clients. Paul has specialized in marketing analytics and attribution for the past four years, and MMMs specifically the last two.

Philip holds a Ph.D. in Linguistics from Stanford and has taught at research institutions including the University of Essex and Brown University. Before joining Prescient, he built numerous production-level machine learning models at Grubhub and designed, built, and managed their in-house experiment reporting platform.

Shannon has worked in digital marketing over the last decade+, across a variety of start-ups with successful exits (Vizu/Nielsen, AOL/Verizon, Placed/Snap Inc.). Most recently, she joined Prescient AI from Measured, where her measurement experience focused on Geo Testing and MMM.

After graduating Ohio University in 2012, Tony was the seventh hire at Imgur as Head of User Experience, growing the design team before shifting to engineering. He saw Imgur through 3 fundraising rounds and their acquisition in 2021. Helping others thrive is a core motivation behind everything Tony does.

tony guglielmi headshot

During his undergrad, Zev made dean’s list and won hackathons, and joined Prescient as a full-stack development intern. After graduating Magna Cum Laude, he returned to Prescient as a full-stack engineer, working on all aspects of the web app. Zev holds a B.S. in Computer Science from Brandeis University.

Where we started.

2019
Prescient launched under its original name, Vybn, to measure music downloads using a modern MMM.
2020
In April of 2020, Prescient successfully backtested & optimized for ROAS, and predicted the performance of a #1 Billboard track based on our marketing mix recommendation.
2021
Our team of experts researched and developed the Prescient dashboard.
2022
Prescient launched their initial beta program with select clients.
2023
Prescient opened up the dashboard to all potential clients and launched the Optimizer function later that year.

Promoting investors.

Recent news.

Knowing Which of Your Marketing Dollars Are Working, with Mike True

Greg Kihlström discusses how to optimize marketing effectiveness through Marketing Mix Modeling, AI, and predictive analytics with Mike True, CEO & Co-Founder of Prescient AI. | The Agile Brand

AppLovin Has Rocketed to a $100b Valuation. Some Industry Insiders Are Skeptical Its Run Can Last.

We found AppLovin delivered a 1.5 times higher return on ad spend for its customers than Meta and Google Adwords, on average. Read more on Business Insider.

Breaking: Early AppLovin Performance Data + Critical Meta Changes for 2025

See findings from our AppLovin analysis performed in October 2024, including ROAS compared to Meta and median ad spend, in this piece from DTC Times.

Will AppLovin Be a Viable Performance Media Channel in 2025 for E-Commerce Brands?

Is AppLovin the next big thing in e-commerce advertising or just a fleeting trend? See our analysis from October 2024 in this piece from Avenue Z.

20 Tips to Boost Productivity with AI While Managing Its Risks

Insights from our co-founder and CEO, Mike True, were featured in this roundup by Fast Company to help people navigate the risks of AI while leveraging their benefits for productivity.

The Future Of Ad Spend: Why Prescient AI Attracted $10M To Transform Ecommerce Brands

In this episode of eCommerce Fastlane, Mike explains how Prescient leverages historical spending data and advanced AI technologies to optimize marketing budgets beyond the usual platforms like Facebook and Google.

Take your budget further.

Speak with us today

[gravityform id="1" title="true" description="true" ajax="true"]