Deep Research: Causaly's Agentic AI is Unlocking a New Dimension of Scientific Discovery

For years, Causaly’s AI platform has been a trusted partner for scientists in life sciences organizations to navigate the complex biomedical landscape and find novel insights.

As research continues to evolve, scientists need more. We’ve heard from our customers that to get ahead, they need even more scientific depth than ever before. They are asking increasingly complex questions and then synthesizing the vast amount of information into something that's easily digestible and shareable with their teams.  

We understand that biomedical research demands rigor, depth, and efficiency. That’s why we’re excited to announce the upcoming release of Causaly Deep Research.

Our rationale is clear: Help scientists achieve unmatched precision and tackle the deepest challenges in biomedical research through rigorous scientific methodology.

Causaly Deep Research operates on a fundamentally different principle: it emulates the scientific process itself by formulating testable hypotheses and making every supporting assumption fully transparent—critical for reliable scientific research. These defined, precise principles and protocols directly to the Causaly Knowledge Graph—the most robust and precise graph available—to ensure a level of accuracy, context, and reliability that sets it apart in the industry

What distinguishes Deep Research from other agentic AI competitors?

• Built for scientific rigor: Unlike tools that merely surface information, Causaly Deep Research is designed for precise scientific inquiry without any bias. Unpack multi-step questions that traditional tools cannot handle and thoroughly validates answers through:  

• Evidence grounding to ensure every statement can be verified in the data source.

• Scientific limitation tests to flag evidence that may be statistically weak or contradicted elsewhere, allowing scientists to critically evaluate findings.

• Comprehensive access to the biomedical landscape: Causaly’s Bio Graph houses half a billion relationships across key biological concepts, documents, and ontologies. This provides Deep Research with a unique ability to reason through complex biological scenarios and contextualize questions with unmatched depth.

• Systematic private data integration: Unlike one-off PDF or file uploads, Causaly  allows scientists across your organization to seamlessly access your company's internal information – be it research reports, experimental data, or proprietary knowledge – directly within Deep Research. This eliminates data silos and amplifies the collective intelligence of your research teams.

• Dynamic reports: Deep Research reports are not static documents. They are living artifacts that automatically update as new, relevant evidence surfaces in the scientific landscape. This proactive updating keeps your research on the leading edge and guarantees that insights are generated based on the most up-to-date information landscape available.

How Causaly Deep Research works

Deep Research breaks down questions into a graph of sub-tasks and then retrieve evidence, compare results, flag contradictions, and draft a comprehensive report– all autonomously. These are intricate, multi-part questions such as:

How do TNF, IL1B, and IL23A compare in terms of genetic validation for rheumatoid arthritis?

List the clinical trials, identifiers, indications, and modifications to antibodies to allow entry into the brain.

GABA, HDAC9, HDAC1, GSK3B, HDAC2, CDNK1A, BDNF, IL6, CASP3, are targets of Valproate. Which of these are most likely to lead to weight gain associated with the drug?

Our Scientific Information Retrieval System (SIRS) surfaces not just the obvious but also the crucial, often overlooked, evidence that can provide critical insights for your specific edge cases.

A New Era of Research Efficiency, Insight, and Innovation

Deep Research is not just about answering questions faster; it's about unlocking a new dimension of scientific productivity and fostering innovation.  

• Get the "why" behind the "what" of your research with a richer and more nuanced understanding of complex biological systems

• Seamlessly integrate Causaly’s agentic AI with internal information and external applications such as Human Protein Atlas and PubChem

• Scale to a wide range of use cases as we build specialized agents for ADMET prediction, omics QC, and more without IT overhead

When is Deep Research available?

We are releasing Deep Research over the next few weeks. Connect with us for a demo and to learn more on how Deep Research can transform data into actionable science – at agentic speed.