DF Signal AI is an AI-powered safety signal management solution for pharma, cosmetics, vaccines, nutraceuticals, and medical devices that offers advanced, accurate, and comprehensive coverage of signal detection and risk management with a great user experience and compliance assurance. DF Signal AI provides a powerful set of analytics and insights to enable configurable, active, and passive surveillance of signals based on drug–event combinations. The solution offers statistical scores automatically on top of safety data ingested from multiple regulatory agency portals and company safety databases.

DF Literature Monitor automates and simplifies the process of literature monitoring for Safety Vigilance, with powerful AI models that enhance productivity and compliance. DF Literature Monitor brings AI-powered automation to the largely manual process of article search and procurement, assessment, review, and safety case creation. Users simply verify the information and validate the output for the safety case to be created and submitted to an integrated safety database. This automation saves time and reduces over 60% of manual effort, while offering a QC workflow for quality and compliance purposes.

As regulatory scrutiny on product safety and marketing claims increases, CosmetoShield AI helps brands manage compliance with confidence, bringing safety vigilance, labeling, and claims under one intelligent platform. Built for cosmetics and OTC brands, CosmetoShield AI unifies safety, labeling, and claims processes to keep your products inspection-ready and globally compliant

The beauty aisle has fundamentally changed. Gone are the days when consumer loyalty was built on glossy packaging and celebrity endorsements. Today’s shopper is a beauty detective, armed with a smartphone and a list of questions. They are flipping bottles, scrutinizing ingredient lists and demanding to know not just what’s in their products, but why it’s there and if it’s really safe. This seismic shift has pushed the cosmetic industry toward unprecedented transparency, yet it also exposes a paradox while more information is available than ever before it often leads to more confusion than clarity.

During this symposium, industry, healthcare providers, pharmacy professionals, regulators, and academics will share their insights on topics like the current pharmacovigilance requirements, upcoming changes in the regulations, global and local pharmacovigilance practices, opportunities, challenges in effective management of pharmacovigilance operations in India. Datafoundry is looking forward to being a part of this knowledge sharing platform, where we can discuss challenges, concerns, and issues, and find a solution for ensuring compliance to regulations, as well as ensure PV practices are more efficient and harmonized.

Pharmacovigilance teams face increasing pressure to detect and report safety signals quickly and accurately. While quantitative methods like disproportionality analysis help flag potential signals, regulatory expectations now demand a thorough quantitative and qualitative evaluation—considering clinical relevance, prior awareness, and labeling context. Translating these complex assessments into clear, regulatory-grade documentation, however, remains a major challenge. Manual, fragmented workflows make it hard to align data insights with clear, justifiable narratives. Drafting consistent, regulatory-grade Signal Detection Reports (SDRs) is time-consuming, error-prone, and difficult to scale.

During this symposium, industry, healthcare providers, pharmacy professionals, regulators, and academics will share their insights on topics like the current pharmacovigilance requirements, upcoming changes in the regulations, global and local pharmacovigilance practices, opportunities, challenges in effective management of pharmacovigilance operations in India. Datafoundry is looking forward to being a part of this knowledge sharing platform, where we can discuss challenges, concerns, and issues, and find a solution for ensuring compliance to regulations, as well as ensure PV practices are more efficient and harmonized.

In a world where appearance is currency and skincare routines are sacred, the cosmetic industry stands as a multi-billion-dollar titan. From anti-aging serums to “clean beauty” promises, the shelves are brimming with hope in a bottle. But behind the glossy packaging lies a harsh reality: the beauty industry is facing mounting challenges, from fraudulent practices to regulatory crackdowns. And for brands, the stakes have never been higher — because in today’s digital-first world, one compliance slip can do irreversible damage to brand trust A critical examination of the underlying challenges within the cosmetic industry reveals that emerging risks require data-driven, technologically advanced solutions — where brand protection transcends regulatory compliance and becomes a cornerstone of strategic risk management.

With global regulations tightening—like the U.S. MoCRA and consumers demanding ever-greater transparency, cosmetics companies can no longer relegate safety vigilance to the back burner. Estée Lauder faced mounting costs and inefficiencies as its highly manual safety operations struggled to keep pace across diverse markets. That all changed when they partnered with Datafoundry and adopted DF CosmetoShield AI: the first AI-powered, end-to-end safety vigilance platform built specifically for cosmetics and personal care. By automating intake, assessment, and reporting within a fully compliant framework, this intelligent SaaS solution introduced structure and consistency, significantly reduced processing times, delivered millions in operational savings, and strengthened both regulatory compliance and team efficiency. This case demonstrates how purpose-built AI solutions like DF CosmetoShield AI have quickly set the benchmark for brands seeking scalable, compliant, and efficient safety systems. By harnessing advanced automation and machine learning, the platform delivers rigorous regulatory adherence across global markets while driving significant return on investment—streamlining workflows, reducing manual overhead, and empowering safety teams to focus on higher-value tasks.

During this symposium, industry, healthcare providers, pharmacy professionals, regulators, and academics will share their insights on topics like the current pharmacovigilance requirements, upcoming changes in the regulations, global and local pharmacovigilance practices, opportunities, challenges in effective management of pharmacovigilance operations in India. Datafoundry is looking forward to being a part of this knowledge sharing platform, where we can discuss challenges, concerns, and issues, and find a solution for ensuring compliance to regulations, as well as ensure PV practices are more efficient and harmonized. Datafoundry is excited to participate in NASSCOM Global Confluence 2025, a landmark event bringing together global tech leaders, innovators, and changemakers to define the future of technology leadership and cross-border collaboration. This year’s theme, “Forging Global Alliances for Tech Leadership,” highlights the critical role of international partnerships in driving innovation, scaling DeepTech solutions, and unlocking new markets. Featured Session: Navigating the U.S. Market: Opportunities, Challenges & Future Prospects for Indian Tech This session delivers a sharp focus on the U.S. market — uncovering key opportunities, policy shifts, and growth strategies for Indian SMEs. Attendees will gain forward-looking insights to navigate 2025 and beyond, seize emerging opportunities, and establish a strong U.S. presence.

In the intricate world of pharmacovigilance, having swift access to comprehensive statistical scores is paramount. Enter DF Signal AI, where we seamlessly harness safety data from multiple regulatory agency portals and your company's safety database to generate automated statistical scores.

Explore the latest regulatory updates in the Asia-Pacific region regarding cosmetic safety. Stay informed about changes in ingredient submissions, safety information, licensing, and more.Stay ahead of the regulatory curve with Datafoundry! Our Integrated Cosmetovigilance Solution is designed to streamline compliance, making your journey through these regulatory changes seamless and efficient. Effortlessly adapt to evolving regulations, ensuring compliance is never a hurdle. Stay ahead in safety case management and monitoring, boosting consumer trust and brand credibility. Our solution evolves with regulations, ensuring seamless integration of updates into your existing workflow. Datafoundry partnered with a global cosmetics company seeking to modernize its Cosmetovigilance processes. We introduced our AI-based solution, DF Safety AI, to automate their processes, resulting in a 40% cost reduction and significant improvements in compliance. Post-implementation, the company achieved annual cost savings of nearly $2 million and reduced Case Processing Time from 3 weeks to 3 days.

Gain valuable insights into the Modernization of Cosmetics Regulation Act (MoCRA) of 2022 through our informative infographic. This comprehensive infographic covers crucial topics such as Important Deadlines and MoCRA Timeline, Implications of MoCRA on Adverse Events Reporting, What Companies Need to Do Now, And More.................

Datafoundry is listed in the industry report on 'Artificial Intelligence in Drug Discovery' by Deep Pharma Intelligence under the section '10 Notable R&D Use Cases of AI Application in Biopharma'.   Find full report: https://www.deep-pharma.tech/ai-in-dd-q1-2023-subscribe This report is the latest in a line of studies that DPI has been publishing on the issue of Artificial Intelligence (AI) applications in the pharmaceutical research sector since 2017. 

Data is the lifeblood of any pharma company. However, managing data can be a daunting task, especially when it comes from diverse sources, formats, and languages. Digital transformation is a key driver of innovation and growth as it enables unlocking of value from data to speed up the drug life cycle processes. Our client, a leading pharmaceutical company with operations in over 100 countries, has a vision to become a data-driven organization that could harness the potential of artificial intelligence and machine learning. They needed a partner who could bring techno-functional and AI expertise to help them digitize several terabytes of unstructured, semi-structured and structured data from clinical, regulatory, and manufacturing areas.

Prediction of Adverse Drug Reactions has been an important aspect of Pharmacovigilance because of its impact in the pharma industry. The standard process of introduction of a new drug into a market involves a lot of clinical trials, tests, etc. This is a tedious process and also involves a lot of monetary resources. The faster approval of a drug helps the patients who are in need of the drug. The insilico prediction of Adverse Drug Reactions can help speed up the aforementioned process. The challenges involved are lack of negative data present and predicting ADR from just the chemical structure.

Datafoundry brings the power of AI/ML to the Life Sciences and Healthcare industry for better health outcomes. The team of experts, data scientists, and software developers builds best-in-class AI models to deliver insights and process automation for crucial business processes, enabling the digital transformation of Life Sciences companies. The company’s current focus areas include Pharmacovigilance, Literature Research, Labelling, and Real-World Studies. Over the past two years, as the world struggled with the COVID-19 pandemic, the importance of healthcare and Life Sciences came sharply into focus. This period highlighted the urgent need for companies to execute efficiently, engage effectively, and innovate new products and services.

The Cosmetovigilance department is responsible for collecting information about product safety and quality. Datafoundry had the opportunity to work with a global cosmetics company that wanted to modernize its Cosmetovigilance processes. This cosmetics company was looking for a technology partner to help it create an AI-based system that would automate their Cosmetovigilance processes. Datafoundry’s DF Safety AI provided them with an AI-based solution that enhanced efficiency, while also providing easier access to data for the employees in the Cosmetovigilance department.