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Google for Healthcare

Gunjan Bhardwaj chose Germany as the place to launch his advanced search ­and discovery solution. His company assists the healthcare industry by organizing and analyzing vast amounts of data using ­artificial intelligence.

Since its establishment in 2011, the highly specialized search and analysis engine Innoplexus has become a major player in the healthcare sector. Based in Eschborn, Germany, the company provides valuable information for pharmaceutical and biotechnology companies as well as researchers and doctors. By enabling users to access the most recent life science data much faster and more efficiently than previously possible, and by connecting all the different data points from structured and unstructured data, it also serves as a research and development accelerator, especially for pharmaceuticals.

Gunjan Bhardwaj, founder and CEO of the Innoplexus group, had always been interested in Germany as a business location. After graduating from the Indian Institute of Technology (IIT) in Mumbai in 2005, he had the chance to travel to Germany on a German Academic Exchange Service (DAAD) scholarship. He attended Pforzheim University of Applied Sciences in Baden-Württemberg before moving to the consultancy firm EY in Stuttgart, where he headed up a global performance think tank.

Organizing data for life science

Innoplexus grew out of Bhardwaj’s efforts to find specific medical information after a friend had been diagnosed with cancer. Using artificial intelligence (AI), machine learning and blockchain-based analytics, the search system can track, assess, organize, connect and analyze all the available information on specific diseases and therapies worldwide. “Innoplexus crawls and aggregates the entire published and unpublished digital universe in life science in real time and provides continuous analytics to pharmaceutical companies, research centers, hospitals and, hopefully very soon, patients,” explains Bhardwaj in an article on entrepreneur.com. The problem is not the availability of data in healthcare but the fact it is often unstructured and disordered, which is a “huge problem in drug discovery,” he tells The Pharma Letter. That, he says, hampers research and creates inefficiency.


Number of employees across Innoplexus facilities (Germany, India, U.S.)

AI-based global search solutions

Expanding on the need for such a platform at a TED talk in Darmstadt last year, Bhardwaj pointed out that by 2020, medical knowledge was expected to double every 73 days at the present rate, meaning that medical data at the beginning of 2020 would increase more than 32 times by the end of that year.

The next step for Innoplexus, which also has offices in the U.S. and India, is to expand the use of its technology and introduce it into other industries with the overarching goal of becoming a leading provider of AI analytics solutions. This year Bhardwaj is planning to branch out into the banking and financial sector with a comparable product.


of all public life science information covered is covered by the Ontosight engine.

Originally published on Market Germany.

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