Providing licensed AI products that help engage and monetize audiences through any platform.
Sample Partner Applications
Increasing live consumption with personalized sports companion experience
Driving GGR with Spotify like personalized sportsbook experience
Better targeting through relational modeling of player loyalty and betting behavior
Casino personalization with advanced profit gain and churn reduction logic
Increasing activation with contextual message delivery with rich media
Increasing betting engagement through embedded sports gaming experience
Better targeting through micro segmentation modeling with predictive segment progression
Simplifying AI
Epoxy’s platform dramatically simplifies the ability for companies to monetize AI without impacting your existing resources. Start taking advantage today, and bring the power of personalization to your business!
LIMITLESS POSSIBILITIES
Our patented technology turns data into dollars creating meaningful, monetizable and actionable opportunities for a limitless number of use cases.
Proven results
Epoxy’s team and technology have delivered proven results to dozens of partners partners across countless platforms in sports media, gambling and fan engagement.
the Epoxy.ai Lifecycle
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Understand the Problem
Data Gathering and Exploration
Data Preparation
Model Design
Develop
Evaluate
Monitor Results
Define
Understand the Problem: Clearly define your business problem and identify the potential of AI to solve it.
Data Exploration: Collect, analyze, and prepare relevant data to inform your AI model development.
Develop
Model Design: Architect the AI model, selecting appropriate solution for your use case.
Build Out: Build and train your AI model, to best solve your problems with collaboration of key stakeholders.
Deploy
Evaluate: Release and validate the models success to provide the predicted outcomes.
Adapt: Based on model performance identify areas for improvement to provide increased production lift
our partners
Uniquely qualified team
Epoxy.ai is a team of industry leaders, who have a breadth of experience in product development, scaled systems architecture, enterprise platform development and the commercial application of advanced AI and ML methodologies.