Aired:
December 24, 2025
Category:
Podcast

Automating Biopharma Workflows with AI and Robotics

In This Episode

In this episode of the Life Sciences DNA Podcast, host Nagaraja Srivatsan engages with Karthik Raman, Co-Founder and CEO of Persist AI, to unpack how AI, robotics, and cloud technologies are converging to redefine biopharma R&D workflows. The discussion centers on overcoming traditional bottlenecks in drug formulation and research by leveraging autonomous systems that drive precision, consistency, and scalability across laboratory operations. The conversation highlights how robots, orchestrated by advanced AI, are enabling faster prototyping, richer experimental data, and streamlined processes that support innovation in an increasingly complex pharmaceutical environment.

Episode highlights
  • Next-Gen Automation in R&D:
    Explore how robotics paired with AI are elevating traditional laboratory work by improving reproducibility and throughput.
  • AI-Orchestrated Workflows:
    Learn how cloud-native orchestration layers coordinate AI and robotic systems to accelerate experiment design, execution, and data capture.
  • Data-Driven Innovation:
    Gain insights into how continuous feedback loops from automated experiments fuel richer data sets, driving stronger predictive models and iterative learning.

Transcript

Our Host

Senior executive with over 30 years of experience driving digital transformation, AI, and analytics across global life sciences and healthcare. As CEO of endpoint Clinical, and former SVP & Chief Digital Officer at IQVIA R&D Solutions, Nagaraja champions data-driven modernization and eClinical innovation. He hosts the Life Sciences DNA podcast—exploring real-world AI applications in pharma—and previously launched strategic growth initiatives at EXL, Cognizant, and IQVIA. Recognized twice by PharmaVOICE as one of the “Top 100 Most Inspiring People” in life sciences

Our Speaker

Karthik Raman is Co-Founder and CEO of Persist AI, where he applies AI and robotics to automate and scale biopharma R&D workflows. A trained bioengineer, he brings deep expertise in drug delivery, lab automation, and data-driven experimentation.