What is Pre-News?

Traditional business information is reactive—reporters and analysts respond to events as they happen. AppliedXL flips this model by identifying patterns and anomalies in data that signal future developments. Early indicators—such as shifts in industry filings or government database updates—offer valuable foresight into emerging trends. We call this pre-news.

To build a pre-news system for any domain, we collaborate with industry experts to map subtle changes that signal disruption or progress. These telltale signs function like the cues a skilled poker player observes—a nervous twitch, a hesitation—each hinting at an opponent’s next move. Just as these small signals foreshadow a winning hand, AppliedXL detects early indicators of significant developments. By encoding expert knowledge into AI, we analyze data proactively, uncovering signals before they become widely recognized.

AppliedXL was founded on this principle. Our AI-driven systems continuously scan diverse data sources, detecting patterns before they surface in mainstream news. The goal isn’t to predict the future with certainty but to equip decision-makers with intelligence that helps them navigate opportunities and crises with confidence.

Transforming Data into Actionable Intelligence

AppliedXL is an AI and computational journalism company automating information analysis. Our systems don’t just summarize reports—they analyze raw data, detect emerging events, and extract meaningful insights in real-time.

Using domain-specific taxonomies, our AI autonomously processes and contextualizes data, linking topics and uncovering hidden relationships. Unlike traditional AI, which struggles with real-time intelligence, AppliedXL generates new insights by interpreting multiple sources, including public records, regulatory filings, and company statements.

Eliminating Reactive Data Analysis

AppliedXL started in life sciences, where complex data and high stakes demand precision. By detecting early signals—such as clinical trial disruptions, regulatory scrutiny, or supply chain vulnerabilities—we help companies mitigate risks before they escalate.

Our AI continuously benchmarks these signals against real-world outcomes, improving accuracy through computational analysis and expert audits. It has already identified disruptions that later led to clinical trial terminations.

Building on this success, we’ve expanded into regulatory intelligence, partnering with The Associated Press and Bloomberg to track risks and trends across 430+ federal agencies. Looking ahead, we are focused on activating proprietary real-time signals to drive better decision-making in high-stakes industries.