Your Clinical Data

Our AI-powered Clinical Analytics Platform

Endless Possibilities


SDTM Automation

Boost productivity through AI and automation, swiftly generating CDISC-compliant SDTM datasets, ensuring streamlined data management with minimal manual effort.

Dashboards & Insights

Accelerate insights by 5-20x through intuitive & fully customizable dashboards and visualizations, enhancing productivity in clinical trials.

Patient Profiles

Full 360-degree patient data journey through interactive profiles, delta review listings, and AI-driven summarizations for comprehensive clinical insights.

AI-powered workflow

Unlock instant insights and narratives through on-demand AI, seamlessly integrated into user interactions for accelerated review.

Risk Based Quality Management

Streamline risk management with quantitative RBQM, dynamic KRI thresholds, AI for data analysis, customizable indicators, and user-friendly dashboards for enhanced decision-making.

Data Quality Checks

Enhance data integrity with comprehensive quality checks, AI-driven query generation, collaborative review tools, customizable dashboards, and automation for efficient data monitoring.


Streamline TFL creation with efficient templates, specialized designs, and integration ADaM preparation, alongside effortless reusability and AI-driven automation for reporting.

Interactive DMC

Unified data handling, selective content isolation, and web-based, user-friendly interfaces for efficient reporting and collaborative analysis.

Biostatistics & Programming

Creation of SEND, SDTM, ADaM, TFLs, define packaging, data preparation for regulatory submissions , preparing SAPs, designing data shells, and providing support for Data Monitoring Committees.

Meet Our CEO

Vineet Jain, is the founder and the CEO of Nimble Clinical Research. He drives the company's vision, strategy, and growth as it provides industry-leading solutions to clinical research challenges with a strong background in Computer science, Statistics & Machine Learning. He has over 18 years of pharmaceutical research experience in Data Science, Biostatistics, Analytics, and Data Management.


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