Axiom offers a prediction layer that media companies can embed directly on their sites, allowing readers to make real‑money predictions about future events. By keeping the prediction activity on the publisher’s platform, it deepens audience engagement and creates a new revenue stream, turning readers from passive consumers into active participants in the news cycle.
Funding
Funding not disclosed
Founders
Product
Problem
Media publishers are experiencing declining traffic from search engines and AI platforms, leading to reduced audience engagement and revenue. Traditional web content offers limited interaction points, making it difficult to retain readers and capture valuable audience data.
Solution
Axiom provides a real‑money‑free prediction layer that publishers can embed directly into their websites, allowing readers to forecast future events using reputation stakes. The platform integrates with existing publishing workflows, keeping all engagement and data on the publisher’s site. By turning audience predictions into a recurring interaction loop, Axiom deepens reader relationships and creates measurable loyalty signals without introducing gambling compliance risks. The solution leverages the natural human tendency to predict, converting it into a tool for sustained traffic and audience insight.
Target Audience
Primary customers are digital news publishers and media companies seeking to increase reader retention and capture in‑house engagement data.
Features
- Embeddable prediction widget that operates fully on the publisher’s domain, preserving brand experience
- Reputation‑based staking system eliminates real‑money gambling and associated regulatory burdens
- Real‑time result tracking and leaderboards encourage repeat visits and ongoing engagement
- API and SDK for seamless integration with CMS platforms and existing content pipelines
- Analytics dashboard that aggregates prediction data, providing publishers with audience insight and engagement metrics