Syneos Health^®, a leading fully integrated biopharmaceutical solutions organization, announced the continued advancement of its AI ecosystem – a unified, enterprise approach that embeds artificial intelligence (AI) directly into the core of clinical development. By combining deep therapeutic expertise, healthcare professional intelligence and modern AI technologies, Syneos Health is helping sponsors navigate an increasingly complex development landscape.

Grounded in decades of clinical and commercial experience, Syneos Health’s differentiated AI approach focuses on integrating advanced capabilities into critical decision points across protocol design, feasibility, enrollment planning, site activation, monitoring and operational oversight. This enables teams to anticipate risk earlier, reduce friction across workflows and make faster, more informed decisions that improve study performance.

“Our priority is AI that works inside the complexity of clinical trials. By combining advanced AI with a deep understanding of sites, physicians, patients and the operational dynamics that shape trial performance, we’re unlocking new opportunities for speed, clarity and quality,” said Mike Montello, Chief Digital and Information Officer, Syneos Health. “When technology is applied precisely at critical decision points, teams can anticipate risk earlier to accelerate development.”

Enterprise AI and Data Platforms 

Syneos Health is building a future ready ecosystem bringing together capabilities combining scientific expertise, connected data and evidence, and AI-enabled execution. This integrated approach creates a unified intelligence environment that enables faster, more informed decisions across the clinical development lifecycle.

• Causaly – Syneos Health’s new collaboration with Causaly applies agentic, evidence-based scientific reasoning to enable faster protocol strategy development, feasibility planning and competitive trial intelligence. Built specifically for the life sciences sector, Causaly’s Agentic Research surfaces evidence from a proprietary knowledge graph combining biomedical research and commercial insights. By accelerating analysis of complex biomedical literature and emerging data, Syneos Health teams have reduced the time it takes to derive insights for study strategy and design by approximately 50%.
• Databricks – Using Databricks enables Syneos Health to create a more powerful, unified intelligence environment that brings together operational, clinical and real-world data to advance modern clinical development. Leveraging the Databricks Data + AI Platform, Syneos Health has developed a continuous, near real-time view of clinical operations that reduces the time from source data capture to review-ready insight from days to hours, enabling faster intervention and more efficient trial execution.
• Microsoft – Building on its long-standing collaboration that began in 2023, Syneos Health is driving AI adoption through its integration with Microsoft. Specifically, Syneos Health has used Microsoft Power Apps and other tools to develop more than 280 agents that integrate with Microsoft 365 Copilot to improve productivity, streamline workflows and support faster, more confident decision-making across the company.
  
  

Complementing these foundational capabilities are frontier agentic AI solutions and proprietary Syneos Health insights embedded directly within clinical workflows. Together, they help improve predictability, reduce operational complexity, and drive more precise, scalable trial performance. These capabilities are deployed with strong human oversight and governance, ensuring responsible use in regulated environments.

"What differentiates Syneos Health is our ability to redesign how clinical development decisions are made through the combination of scientific intelligence, connected evidence, operational expertise and AI-enabled execution across the development lifecycle," said Michael Brooks, Chief Operating Officer, Syneos Health. "By grounding AI in deep clinical expertise and real-world experience, we help sponsors reduce complexity, make better-informed decisions and ultimately deliver better outcomes for patients."