Case Study
Tiger Analytics Powers Faster Data-to-Insights Visualization For Pharma Co with AWS SageMaker
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Wednesday, September 16, 1:30 PM - 2:05 PM
Republic Ballroom
At DPHARM Conference 2026, the future of clinical development is evolving from siloed Research and Development data to intelligent and autonomous execution.
At Tiger Analytics, we help global pharmaceutical and biotech organizations unlock value through enterprise data and AI solutions that scale. Visit us to explore how Agentic AI and robust data foundations are transforming protocol design, patient cohort building, clinical data review, and regulatory documentation.
Tiger Analytics enables Agentic AI and scalable data platforms across critical clinical development phases:
01
Optimize eligibility criteria, simulate trial viability, and identify operational bottlenecks early to streamline protocol development before site activation.
02
Deploy specialized multi-agent AI systems to query unstructured clinical records, accelerate patient cohort identification, and meet diversity targets without increasing site burden.
03
Unify EDC, LIMS, CTMS, and trial telemetry into continuous, AI-driven data review pipelines that catch anomalies instantly and eliminate manual data-cleaning delays.
04
Automate complex regulatory document drafting—including Clinical Study Reports (CSRs) and safety summaries—using guardrailed GenAI platforms.
Agentic AI in life sciences refers to autonomous AI systems that can make decisions, trigger actions, and continuously optimize workflows across commercial, medical, and operational functions.
Tiger Analytics is showcasing Agentic AI and GxP-compliant Data Foundations across four core clinical R&D capabilities: AI Protocol & Clinical Trial Planning, Agentic Patient Recruitment & Matching, Real-Time Clinical Data Review, and Agentic Clinical Documentation. These solutions help pharmaceutical leaders modernize R&D data architectures, eliminate trial bottlenecks, and scale AI with strict regulatory guardrails.
While standard GenAI simply generates text from prompts, Agentic AI deploys autonomous, multi-agent systems designed to execute complex, multi-step R&D workflows. These agents collaborate to query unstructured data, cross-reference clinical rules, perform validation checks, and automate tasks like cohort matching or document authoring under human supervision.
Visit us at Booth #611 at the Sheraton Boston, or reserve a 1:1 consultation with our Life Sciences AI team.
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