N-SIDE, a deeptech company that empowers life sciences organizations to make better decisions and optimize the use of critical resources, is pleased to announce our new growing partnership with BeiGene. BeiGene is a global, science-driven biotechnology company focused on developing innovative and affordable medicines to improve treatment outcomes and access for patients worldwide.
BeiGene and N-SIDE started their collaboration using the N-SIDE solutions to streamline BeiGene’s clinical trial supply chain following the signature of a 3-year contract. This new partnership is perfectly aligned with N-SIDE’s growth strategy in Asia. The N-SIDE solutions combines deep clinical supply chain expertise with advanced mathematics packaged into an easy to use and cutting-edge solution.
Following the fast growth of biotech companies leveraging AI and data to reduce their clinical development timelines, N-SIDE provides the technology to enable more efficient R&D decisions and activities.
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“We’ve contributed to the trend of lightspeed projects delivering urgent medicines to patients in need in a faster way. Aligning clinical organizations with the right business processes and technology is a key strategic objective for all biotech companies nowadays.” - Sébastien Coppe, Life Sciences Director
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Learn how the N-SIDE solutions can help you accelerate plans, mitigate risks and curb drug waste.
Learn about the latest advances in clinical trial forecasting and optimization. Understand how technology can help you overcome challenges you face in your clinical trial supply management.
Read moreOptimization services for the clinical trial supply chain.
Our team of experts in clinical supply and manufacturing optimization helps pharma companies make better strategic decisions, mitigate risks, manage crisis situations and optimize processes.
Learn moreThe N-SIDE Supply App is the only solution that adds a risk-based optimization approach to clinical supply forecasting.
Make data-driven decisions about overage, packaging, sourcing, IRT setup, depot shipments, and more, all while measuring the precise impact of these decisions on patient service level and budgets.