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TCS ADD™
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TCS ADD™: A Suite of Modern and Open Technology Platforms
TCS ADD™ is a suite of modern and open technology platforms for clinical research and drug development that helps make clinical trials more agile and safe.
Related Insights
TCS ADD’s AI/ML-driven CDR platform enables smart data ingestion, data transformation, and subject data analytics across the clinical trial lifecycle. Learn how.
Solution
02 Jan 2026
Join the TCS ADD™ forum at Pace Port™ London to explore AI/generative AI in clinical R&D and pharmacovigilance and how it is transforming life sciences.
Events
22 Sep 2025
Connect with our PV experts to know how our purpose-built AI-driven PV platform helps life sciences organizations drive efficiency and enhance patient safety.
Events
04 Nov 2025
Highlights
- Clinical trials are becoming increasingly complex, and industry players and CROs are facing challenges such as understanding intricate datasets and reviewing voluminous records while maintaining data integrity and quality.
- TCS ADD™ Clinical Data Repository (CDR) is a centralised, interoperable, and harmonised platform designed to ingest, transform, and manage clinical, operational, and scientific data throughout the lifecycle of clinical trials.
- It serves as the backbone for data-driven decision-making in clinical research, enabling seamless integration of diverse data sources and facilitating advanced analytics, medical monitoring, and compliance.
- TCS ADD™ Clinical Data Repository facilitates efficient data collection, preparation, and analysis, enabling organisations to derive actionable insights with increased accuracy and speed.
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Overview
- TCS ADD™ Clinical Data Repository offers a data-centric approach to study trial data and its domains across the clinical trial value chain. With the ability to handle diverse types, structures, and sources of data, the CDR presents a unified, interoperable, harmonised, and AI/ML-driven foundation for all data types, including clinical, operational, and scientific data.
- It features an integrated data store with advanced data ingestion, harmonisation, and quality checks to facilitate data-driven decisions using advanced analytics. Thus, the solution maximises the value of data by enabling a centralised framework for driving a plethora of complex use cases, resulting in faster, more meaningful insights and accelerated clinical trials.
Features
Smart data ingestion
- Pre-built data ingestion module with flexibility for the addition of newer sources
- A multi-format smart data ingestion framework with out-of-the-box connectors with 20-plus sources
- Allows low-code configuration for faster source onboarding
- Provides scalability and parallel processing
- Ability to handle both structured and unstructured data, and complex data such as imaging
Data transformation
- Standard-based data transformation and harmonisation to a common data model, enabling simple as well as multi-step complex transformation
- Ability to handle inline and transformation with a cohesive data lineage
- Use of standards across clinical data flow
- Runs data transformation routines using languages like SQL, Python, or R
Interoperability
- The solution’s industry-compliant BRIDG-based model framework provides faster interoperability and a data structure-based entry attribute value (EAV) model.
- Consequently, this enables seamless bi-directional integration with a variety of data sources across clinical, operational, and scientific, including omics, biomarkers, and real-world data, including EHR.
Data quality checks
- Automated conformance checks
- Ability to build custom quality checks
- UI to trigger and schedule quality checks on demand
- Transforms data from raw to trusted to refine
- Quality rules can be enforced hard or soft, based on the business needs
Data storage and review
- Stores large data volumes, yet expandable
- Robust archival facility
- Enables AI-based visualisations for data analytics
- Enables holistic review of end-to-end clinical and operational data
- Enables safety and efficacy review with AI/ML-based analytics
Key benefits
- Faster study onboarding enables a 30% increase in efficiency
- Faster onboarding of new sources
- Quicker data enablement for data management, clinical operations, and the quality team, helping trials run faster
- Pluggable data science workbench for advanced analytics, AI/ML use cases such as workload forecasting, site feasibility, site narratives, and more
- Data checks enhance the quality and utility of business data by almost 20%
- Efficient self-service reporting
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