Bridge Innovation and Execution in Clinical Trials with Agentic AI
As clinical trials evolve, so must the way we manage and analyze data. At PharmaSUG 2025, discover how MaxisIT is transforming clinical development through Agentic AI—bringing automation, intelligence, and collaboration to every step of the data journey. From cleaning and validation to oversight and submission readiness, our platform helps teams reduce manual effort, accelerate timelines, and improve outcomes across studies.
Why Visit MaxisIT at Booth #307?
- See Agentic AI in Action: Watch live demos of automated data validation and review workflows.
- Tailored Solutions for Real-World Challenges: Explore tools built to simplify programming, review, and compliance.
- Accelerate Review and Submission Readiness: Learn how to cut query cycles and boost submission speed with automation.
- Gain Practical Insights from Real-World Experience: Get proven strategies from experts driving innovation in clinical data.
Powering Smarter Trials: MaxisIT in Action:
- Statistical Computing Environment (SCE): Run validated analyses in SAS, R, Python, or Julia. Collaborate efficiently with integrated visualizations and submission-ready outputs.
- Clinical Trials Oversight System (CTOS): Track trial performance through role-based dashboards and alerts. Stay ahead with portfolio-wide visibility and risk monitoring.
- DTect AI + Site Copilot: DTect AI flags anomalies and auto-generates queries in real time. Site Copilot supports site teams with compliance, task automation, and sponsor collaboration through conversational AI
- Data Management Workbench (DMW): Ingest, harmonize, and trace multi-source data in real time—speeding reconciliation and ensuring data integrity.
Speakers
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Ankur Goel
Vice President, Clinical Software & Global Head, Clinical Functional Services
Ankur brings over 20 years of experience in clinical strategy, advisory, consulting, and solutioning in SaaS and functional services. His expertise spans clinical data management, statistical programming, biostatistics, data standardization, clinical operations, and digital transformation for thousands of clinical trials. A life sciences veteran, Ankur advises customers on all aspects of clinical software and services. He joined MaxisIT in 2004.
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Rajesh Hagalwadi
Director, Clinical Solutions
Rajesh is a PMP- and CSM-certified professional with over 15 years of experience implementing eClinical systems within the life sciences industry. His expertise spans pre-sales engineering, product advocacy, solution implementation, computer system validation (CSV), and end-user training. He frequently collaborates with account executives to develop strategic account plans, conduct client discovery, and deliver impactful presentations that showcase the technological and business value of Maxis AI.
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Marni Romano
Business Development Leader
With 17 years of experience in scientific sales, Marni Romano is a dynamic leader in business development. Armed with a background in biology and a master's in biotechnology, she combines scientific acumen with a problem-solving mindset to help organizations unlock the full potential of their research and development efforts. Marni's passion lies in building trust-driven partnerships, ensuring clients leverage Maxis AI's cutting-edge solutions for streamlined clinical trials and data-driven decision-making. Her commitment to integrity, innovation, and collaboration makes her a strategic ally for organizations navigating the complexities of clinical research.
Roy Gray, Jr.
Director, Business Development
Roy Gray, Jr. is a results-driven business development leader with over 20 years of experience accelerating growth across various technology sectors, with a recent focus on clinical data analytics and AI-powered solutions. He excels in forging high-value partnerships, driving market adoption of emerging technologies, and aligning cross-functional teams to deliver innovative solutions that enhance client acquisition and retention. His strategic mindset, combined with a talent for crafting compelling value propositions, positions him as a key driver in advancing AI-driven clinical data strategies and transforming industry standards.
