Automating Clinical Intelligence

Biotech and pharma teams spend up to 75% of their time on labor-intensive and costly clinical research tasks, including manually refreshing web pages multiple times a day for trial updates, sorting through vast and unstructured data to identify meaningful signals, and cross-referencing multiple sources to validate insights and add deeper context. This inefficient process not only consumes valuable time and resources but also increases the risk of missing critical early indicators that could impact decision-making.

While these methods give valuable insights, the overlooked reality is that collecting these insights takes too much time and money. Yet the industry has operated this way for decades simply because it is familiar. Current clinical intelligence is further mired by the fact that there are 7,000 trial updates, based on AppliedXL data, every single day and current tools can’t keep up. They focus on giving teams swaths of data but aren’t designed to sort through and verify them. Manually doing so is tedious and makes the risk for human error and bias high, leading to even more data degradation.

We know that there’s a faster, more proactive way to run clinical research—because we’re building it. Most trials that are prematurely halted often exhibit early risk signals and disruptions months in advance. We can identify and present these signals to you before they become news, allowing you to understand the roadblocks others may face and mitigate the risk of them occurring in your case.

Automation, Real-Time Data, and Data Integrity with AppliedXL

AppliedXL is driving the long-overdue transformation in clinical research by offering what conventional tools do not

- Automation of manual tasks, freeing teams to focus on high-value work.

- Real-time, relevant information tailored to a company’s therapeutic area.

- Rigorous data integrity, upheld by journalistic standards to ensure accuracy and trust.

Designed to integrate seamlessly with existing workflows at companies like Eli Lilly, GSK, Boehringer Ingelheim, and Xencor, AppliedXL enhances—not replaces—your current systems. This allows biotech and pharma teams to gain a comprehensive, real-time view of the clinical landscape with faster, more reliable, and exclusive data.

Automating Clinical Research & Analysis with AI

AppliedXL’s AI eliminates the tedious, error-prone manual tasks that slow down clinical research. It scans clinical databases, scientific journals, and company press releases, automatically sorting information into watchlists and reports tailored to your therapeutic area. Instead of spending hours making sense of disjointed data, you get an organized, structured feed of critical insights.

But AppliedXL doesn’t stop at data aggregation. The AI extracts key insights for each area of interest—whether competitive landscape, trial phases, or regulatory shifts—and packages them into concise, shareable reports. No more 10-page briefings that are anything but brief. No more manual formatting and fact-checking. With automation, biotech and pharma teams can redirect their time to what matters most—running successful clinical trials.

Real-Time Data You Can’t Get Anywhere Else

AppliedXL runs 24/7, tracking clinical trial updates with a level of vigilance no human team could match. The platform monitors nearly 100 clinical trial event categories, surfacing critical insights as soon as they occur.

For example, if you're tracking a Phase III Alzheimer’s trial and patient enrollment suddenly spikes or faces unexpected delays, AppliedXL will instantly alert you—both in the platform and via email. Without these real-time updates, you might not hear about these shifts until months later—long after your own trial planning is underway. But with AppliedXL, you can assess trial site viability early, adjust strategies, and potentially save millions by avoiding flawed trial locations or recruitment issues.

The AppliedXL Advantage

By combining AI-powered automation, real-time alerts, and rigorous data integrity, AppliedXL equips biotech and pharma teams with the most advanced clinical trial monitoring platform available today. With it, you gain deeper insights, faster decisions, and a competitive edge in drug development.

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AI Grounded in Transparent Principles

AppliedXL was built by computational journalists and biotech experts who have firsthand experience with the challenges of obtaining trustworthy, high-quality data. That’s why accuracy and transparency are the foundation of our machine learning model. Unlike conventional AI tools, AppliedXL follows the same rigorous standards as investigative journalism, delivering unprecedented speed without compromising data integrity.

As artificial intelligence continues to reshape biotech, we are committed to ensuring data reliability through constant iteration and human oversight. Our AI operates on a continuous feedback loop, where human editors—trained in strict journalistic methods—review outputs for redundancy, tone, and accuracy. More importantly, every data point in AppliedXL is fully traceable, allowing users to see its origins, transformations, and context across multiple sources. This level of transparency and precision empowers biotech and pharma teams to make confident, data-driven decisions in drug development and investment.

Cutting-Edge Therapeutics Requires Cutting-Edge Data

With FDA drug approvals up 60% over the last decade—and no sign of slowing down—clinical intelligence must evolve at the same pace. The industry can no longer rely on outdated, fragmented data sources.

By combining advanced AI with an unwavering commitment to data integrity, AppliedXL is closing the gap—delivering clear, credible, real-time insights to help biotech and pharma teams accelerate research, navigate regulatory shifts, and bring life-changing treatments to millions worldwide.

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