Introducing Pipeline Graph: Bring Competitive Intelligence to Research Scientists

In the race to discover the next breakthrough therapy, decisions made in early research can make—or break—a pipeline. Yet, at many large life sciences organizations, competitive intelligence remains siloed, slow, or disconnected from scientific discovery. The result? Resources wasted on crowded or undifferentiated targets, delayed insights, and costly rework downstream.

That’s why we built Pipeline Graph—Causaly’s latest AI application designed to give enterprise Life Sciences teams a decisive edge. Instead of learning too late that a target is already crowded (not novel) or scientifically immature (not validated), Pipeline Graph helps discovery scientists spot those risks from day one so their R&D team can make faster, more confident pipeline decisions.

Contact us here to get a demo of this innovative solution or 🎥 Join our webinar on 16 July to see Pipeline Graph in action and hear how leading Life Sciences teams are using it to reshape their R&D strategies. [Save your seat →]

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Why Pipeline Decisions Fail—and What We’re Doing About It

Despite billions invested annually in R&D, many pipeline decisions are still made with incomplete information. That’s because:

• Competitive intelligence arrives too late—after targets have already been selected, and resources committed.

• There’s no central, real-time view of the competitive landscape, making it difficult to benchmark and compare internal efforts.

• Scientists rely on outside teams for insights or struggle with disconnected legacy tools to gather evidence.

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These gaps lead to serious consequences:

• Investment in crowded, undifferentiated targets

• Missed signals on competitor progress or market saturation

• Inefficient workflows and redundant tools that drain budgets and slow time-to-decision

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Pipeline Graph: Where Competitive Clarity Meets Preclinical Research

Pipeline Graph is built for R&D and portfolio strategy leaders who need to move from reactive to proactive pipeline decision-making. It brings real-time, AI-powered insights directly into the hands of scientists—early, accurately, and in one platform.

Unlike legacy tools, Pipeline Graph uses advanced, scientific AI to bring competitive insights upstream into early research and strengthen scientific and commercial decision-making. With Causaly’s AI platform, scientists can now access:

• Organized, relevant data using advanced scientific AI

• 500M+ proprietary data points via Causaly’s Bio Graph

• Real-time insights (vs up to a 6-month lag with other tools)

• Comprehensive and interactive radar maps and landscape charts for any indication and target

• Detailed efficacy and safety data

• Comparative analysis and ready-to-share reports via Causaly’s Deep Research integration

Fill Your Pipeline with Assets Built to Win, Not Just Compete

Bring competitive clarity to preclinical research and replace redundant tools with a unified platform that scientists will adopt.  

🎥 Don’t miss our webinar on 16 July to see how Pipeline Graph brings competitive intelligence and scientific research into a single platform. [Register now]