The dream of a healthy life for everyone inspires us everyday. 

Recent advances in biochemistry and genomics hold the promise of realizing this dream closer than ever before. There has been an explosion in the number of new firms (and increased interest amongst established market players) investigating the potential of harnessing these advances. These new therapeutic interventions will help all of us successfully overcome existing and emerging new health challenges. Ongoing research and the resulting drugs will impact cancer, neurological diseases, auto-immune diseases, and infectious diseases in our lifetime.

In this quest, every bio-pharmaceutical and medical device company needs to stay on top of this fast evolving domain from a scientific and market perspective. They also need to ensure that their operational processes for manufacturing and delivering these promising new drugs meet regulatory standards efficiently. 

Pienomial is a machine learning enabled platform for the bio-pharma and life sciences industries that can synthesize vast amounts of data in varying formats and turn it into actionable intelligence. By empowering our customers with real-time, data based analysis and scenario modeling, we eliminate costly human errors and present leaders with unique insights to bring clarity into their business decisions.

We empower our customers across the entire value chain from drug development to delivery and beyond. By harnessing the power of the latest advances in machine learning, generative AI and other technologies, Pienomial today provides customers with the latest in scientific and market intelligence to compete effectively in the marketplace. We also help improve the effectiveness of operational processes to meet and exceed compliance standards, thereby avoiding costly recalls and negative brand impact. 

Biotechnology

Health Care

Life Sciences

Medical Devices

Pharmaceutical

Pienomial

Pienomial's headquarters in Washington DC, United States

Sanat Mohanty

Pranjal Das

Sai S.

Omkar Patil

Pienomial

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