AI capabilities powering life sciences R&D
Enabling faster strategic decisions from discovery through regulatory readiness and PV
R&D AI solutions for life sciences
Life sciences R&D teams face a widening “insight gap” as data volume far outpaces human capacity to extract meaning. Because decision-making across R&D is cross-functional and deeply interconnected, progress depends on bringing the right evidence together at the right time. But when scientists and subject matter experts must spend hours processing data, that is time not spent making the decisions that advance drugs through the pipeline.
Clarivate Anticipatory Intelligence transforms trusted data into intelligent, proactive actions at scale, amplifying human expertise with transparent, purpose-built tools that support faster, more confident decisions without the black-box risk.
How Clarivate AI benefits R&D workflows
Clarivate life sciences R&D AI solutions accelerate target discovery through development, approval and pharmacovigilance using a framework that delivers AI-powered intelligence across three complementary mechanisms.
AI Research Assistants
Natural language interfaces act as the front door to trusted, source-backed Clarivate intelligence, summarizing and explaining complex biomedical and regulatory information to accelerate R&D decision-making with full transparency and traceability.
AI Workflow Agents
Embedded AI automates multi-step processes, synthesizes insights from multiple datasets and surfaces proactive recommendations, freeing R&D experts to focus on judgment-driven strategic priorities rather than manual information gathering.
AI Ecosystem Access
Secure connectors (including MCP-based integrations) bring authoritative Clarivate intelligence directly into your R&D team’s preferred tools and workflows, eliminating context-switching and accelerating time to insight without compromising data governance.
Addressing real-world R&D challenges
The AI Regulatory Assistant has made it significantly faster for us to find the right documents without needing complex/advanced filtering. It understands specific requirements and provides valuable foundational guidance, allowing our subject matter experts to focus on in-depth document review rather than document searches
Wendy Lara Senior Manager, FDA Business Excellence, Bayer
AI purpose-built for life sciences R&D
Through a combination of gold-standard data, expert validation and AI built by life sciences experts in collaboration with industry, R&D teams gain support across the development lifecycle. Your teams can access trusted intelligence that has powered top biopharma decisions for decades with unmatched coverage from early discovery to regulatory readiness and pharmacovigilance.
Unparalleled data breadth and depth
Our AI solutions draw from rigorously curated data spanning more than two decades. AI-enriched, expert-validated, interlinked and indexed using unified ontologies, Cortellis datasets are designed to deliver deeply connected, domain-specific intelligence for discovery, clinical, regulatory, safety and beyond.
Proven, transparent AI
Source-backed outputs are always traceable and auditable, grounded exclusively in expertly curated Cortellis data. Our AI is continuously validated through a combination of programmatic testing, domain-specific guardrails and expert review, with real-world feedback from customers and subject matter experts. This ensures consistent, defensible outputs, while the unified Cortellis ecosystem turns curated data into advanced analytics and AI-powered workflows.
Our R&D AI Solutions for Life Sciences
The Regulatory Assistant will save us significant time and resources compared to searching manually, and we are already seeing how this will speed up internal enquiries and intelligence work. We have been impressed with how the team is actively engaging clients in the development process by seeking out and acting upon our feedback to continually improve the product. They are dedicated to building a useful tool that meets our needs while ensuring that it is also accurate and user-friendly.
Janeen Skutnik‑Wilkinson Director, Regulatory Intelligence & External Engagement Moderna
The OFF-X Safety Assistant looks great, very easy to interact with and creates summaries. I like that it asks for more clarity in questions rather than just making its own decisions.
Toxicologist Global Pharma company
Through Cortellis we have the most reliable and updated source of drug intelligence to drive our Marketing and Business Development strategic choices.
Massimo Orlando Department Head, Alfasigma
The Drug Discovery Assistant responded that the data required to base an answer on doesn’t exist – much better than generating some fake facts.
R&D scientist
The responses from the Safety Assistant were both quick and insightful, and I found the relevant links for further analysis very helpful. The conversational interface is easy to use, and it really does make retrieving information much more efficient.
PV manager Global Pharma company
Use cases of how Clarivate is leveraging AI to streamline R&D.
Balancing the promise of targeted protein degradation with real-world safety insights
Targeted protein degradation (TPD) has rapidly moved from an academic concept to a clinically validated therapeutic strategy. By eliminating disease‑driving proteins rather than simply inhibiting their activity, degraders open new…
5 key time-saving benefits of AI-driven regulatory intelligence
Pharma and MedTech regulatory teams are under increasing pressure to keep pace with the growing volume of global requirements. Tracking changes, anticipating upcoming shifts and assessing their impact on current…
Streamlining regulatory compliance with AI-enabled intelligence
Navigating today’s regulatory landscape is more challenging than ever. The rapid proliferation of global regulations contributes to information overload, while the lack of centralized, consistent resources makes it difficult for…
FAQs
Clarivate supports AI in life sciences R&D with purpose-built solutions that help life sciences R&D teams access, interpret and act on trusted intelligence across the drug development lifecycle. These include AI research assistants that provide natural language access to source-backed Cortellis competitive, drug discovery, safety and regulatory intelligence; AI Workflow Agents that help automate and accelerate multi-step research and analysis tasks; and AI Ecosystem Access that brings Clarivate intelligence into the tools and workflows teams already use.
Clarivate AI helps teams move faster from evidence to decision by reducing the time spent searching, filtering and synthesizing complex information. Across discovery, preclinical, regulatory and portfolio strategy workflows, Clarivate AI can help surface relevant insights, summarize trusted evidence, connect related data points and support more confident decisions at critical points in the R&D process.
Clarivate pharma R&D AI solutions are grounded in expertly curated, deeply connected life sciences intelligence from the Cortellis ecosystem and related Clarivate datasets. This includes structured and indexed data spanning discovery, clinical, regulatory, competitive intelligence and drug safety domains, supported by domain expertise, rigorous curation and unified ontologies that help connect evidence across the R&D lifecycle.
Clarivate AI is designed to support transparent, defensible decision-making by grounding outputs in trusted, source-backed intelligence. Responses are linked to underlying evidence where available, helping users understand where information comes from and review the supporting sources. Clarivate also applies domain-specific guardrails, programmatic testing, expert review and customer feedback to help maintain consistency, relevance and reliability.
Clarivate R&D AI solutions are designed to meet teams where they work. Through embedded AI capabilities, workflow-based assistants and secure ecosystem access, Clarivate intelligence can be surfaced within existing research, regulatory, safety and strategic planning workflows. This helps reduce context-switching, streamline information access and enable teams to apply trusted intelligence without disrupting established processes.
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