Datafoundry is a company with a vision to bring the power of AI/ML to Life Sciences and Health Care industry for better health outcomes. 

We are a team of domain experts, data scientists and software developers who use a combination of AI/ML to deliver insights and process automation to key business processes to enable digital transformation of Life Sciences companies. We have put together some of the best minds to create a technology platform that is can be customized and easily implemented to automate the core functions of the drug lifecycle.

With Software-as-a-Service (SaaS) in a data fabric based architecture, solutions from Datafoundry aims at boosting efficiency, ensuring compliance, and reducing costs.

Our current focus areas include Pharmacovigilance, Signal & Risk management and Literature Monitoring.

AI/ML

Health Care

Life Sciences

Datafoundry

Datafoundry's headquarters in Bengaluru, India

This department oversees business operations and human resources functions to optimize organizational efficiency.

Operations Management

The Engineering Team at Datafoundry designs and develops advanced AI/ML-driven software solutions aimed at transforming key business processes within the Life Sciences and Health Care industries. Comprised of software engineers, data scientists, and technical leads, the team focuses on building and maintaining the platform's robust infrastructure, optimizing data processing, and ensuring seamless integration of custom features to automate core functions such as Pharmacovigilance, Signal & Risk management, and Literature Monitoring. Their work is critical in delivering high-performance, scalable, and compliant solutions that boost efficiency and reduce costs for Life Sciences companies.

Engineering Team

This department is responsible for designing, building, and maintaining software applications and systems.

Software Development

The Data Management Team at Datafoundry specializes in ensuring the accuracy, quality, and standardization of clinical and operational data. This multidisciplinary team addresses diverse data needs, from coding clinical data and ensuring quality control to leveraging AI/ML algorithms for meaningful insights. By collaborating closely with other departments, they enable the seamless integration of data-driven processes that drive efficient pharmacovigilance, signal & risk management, and literature monitoring in the Life Sciences and Health Care industries.

Data Management Team

The Product Management Team at Datafoundry is responsible for guiding the product strategy, development, and commercialization of our AI/ML-powered solutions. They collaborate with domain experts, data scientists, and software developers to ensure the platform effectively addresses key challenges in the Life Sciences and Health Care industry. This team focuses on building customizable, compliant, and cost-efficient SaaS solutions that optimize processes such as Pharmacovigilance, Signal & Risk Management, and Literature Monitoring.

Product Management Team

The Engineering and Technical Services team at Datafoundry is responsible for developing, maintaining, and optimizing the company's AI/ML technology platform tailored for the Life Sciences and Health Care industries. This team ensures the platform's high performance, scalability, and usability, coordinates technical support, and produces detailed documentation to facilitate seamless implementation and ongoing use. They play a pivotal role in integrating quality management and engineering best practices to drive digital transformation in drug lifecycle processes.

Engineering and Technical Services

The Leadership Team at Datafoundry is responsible for setting the overall strategic direction of the company, ensuring the alignment of product development with industry needs, and driving operational excellence. The team, comprised of the Chief Product Officer, Chief Operating Officer Datafoundry.ai, CEO, and Associate Vice President, Products, collaborates to foster innovation, accelerate business growth, and maintain a high standard of regulatory compliance in the Life Sciences and Health Care sectors.

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Other teams

Engineering Team

Software Development

Data Management Team

Product Management Team

Engineering and Technical Services

Leadership Team