- Acquisition to enable creation of a fully integrated, enterprise-wide capability to discover, design and develop next-generation immunotherapies at scale by leveraging artificial intelligence and machine learning technologies across BioNTech’s therapeutic platforms and operations
- Builds on multi-year strategic collaboration between BioNTech and InstaDeep which included the formation of an AI Innovation Lab in 2020 and completion of dozens of joint projects
- Acquisition expected to add approximately 240 highly skilled professionals and a global network of research partners in the fields of artificial intelligence, machine learning and data science based in the world’s leading global technology hubs
- BioNTech to pay an upfront consideration of approximately £362 million in cash and BioNTech shares, to acquire 100% of remaining InstaDeep shares following BioNTech’s Series B investment in 2022
- InstaDeep to operate globally from London headquarters as a BioNTech company post-closing, which is expected in the first half of 2023, subject to regulatory approval
BioNTech SE (Nasdaq: BNTX, “BioNTech”) and InstaDeep Ltd. (“InstaDeep”) today announced that they have entered into an agreement under which BioNTech will acquire InstaDeep, a leading global technology company in the field of artificial intelligence (“AI”) and machine learning (“ML”). The transaction includes a total upfront consideration of approximately £362 million in cash and BioNTech shares to acquire 100% of the remaining InstaDeep shares, excluding the shares already owned by BioNTech. In addition, InstaDeep shareholders will be eligible to receive additional performance-based future milestone payments up to approximately £200 million. The transaction follows BioNTech’s initial equity investment as part of InstaDeep’s Series B financing round in January 2022.
The acquisition supports BioNTech’s strategy to build world-leading capabilities in AI-driven drug discovery and development of next-generation immunotherapies and vaccines to address diseases with high unmet medical need. The transaction will combine two organizations with a common culture and is expected to add approximately 240 highly skilled professionals to BioNTech’s workforce, including teams in AI, ML, bioengineering, data science, and software development. Through the acquisition, BioNTech will grow its network of global research collaborators in the field and expand its footprint in key talent hubs across the United States, Europe, Africa and the Middle East.
With the acquisition of InstaDeep, validated and novel BioNTech-trained AI- and ML-based models are planned to be embedded across BioNTech’s discovery platforms and connected, through InstaDeep’s DeepChain™ platform, to an integrated automated lab infrastructure. This has the objective to enable high-throughput design and testing of novel drug candidates at scale. In addition, BioNTech plans to develop novel AI and ML technology solutions which it aims to apply across key strategic and operational functions.
The acquisition builds on a successful track record of increasing collaboration between the two companies since 2019: In November 2020, the companies announced a multi-year strategic collaboration and joint AI Innovation Lab to apply the latest advances in AI and ML technology to develop novel medicines for a range of cancers and infectious diseases. The companies have jointly developed multiple end-to-end AI-based applications trained on public and proprietary datasets across a wide variety of scientific domains. These include projects to enhance neoantigen selection, ribological sequence optimization for BioNTech’s RiboCytokine® and RiboMab® platforms as well as the development of an Early Warning System to detect and monitor high risk SARS-CoV-2 variants, based on their ability to escape immune defenses and transmissibility potential, defined as fitness, which was announced in January 2022.
“Since the inception of BioNTech, we have focused on leveraging computational solutions to create personalized immunotherapies that can reach a wide patient population,” said Prof. Ugur Sahin, M.D., CEO and Co-founder of BioNTech. “The acquisition of InstaDeep allows us to incorporate the rapidly evolving AI capabilities of the digital world into our technologies, research, drug discovery, manufacturing, and deployment processes. Our aim is to make BioNTech a technology company where AI is seamlessly integrated into all aspects of our work.”
BioNTech recognized the growing importance of AI and ML capabilities early on. For example, the fully individualized neoantigen specific immunotherapy approach (“iNeST”1) is based on mRNA encoding multiple patient-specific neoepitopes. For the first patients treated with an individualized vaccine in clinical trials starting 2014, BioNTech selected the neoepitopes manually. It invested early in developing ML-trained algorithms to improve the prediction of neoepitopes with initial results published in Nature in 2017. These algorithms have been further enhanced in collaboration with InstaDeep.
“AI is progressing exponentially and our mission at InstaDeep has always been to make sure it benefits everyone. We are very excited to join forces and become one team with BioNTech, with whom we share the same culture of deep tech innovation and focus on positive human impact,” said Karim Beguir, CEO and Co-Founder of InstaDeep. “Together, we envision building a world leader that combines biopharmaceutical research and AI with the aim to design next-generation immunotherapies that enhance medical care – thus, helping fight cancer and other diseases.”
The transaction is expected to close in the first half of 2023, subject to customary closing conditions and regulatory approvals. Upon closing, InstaDeep will operate as a UK-based global subsidiary of BioNTech. InstaDeep is expected to become the centerpiece of a growing portfolio of initiatives around AI and ML at BioNTech. In addition to BioNTech-focused projects, InstaDeep will continue to provide its services to clients around the world in diverse industries, including in the Technology, Transport & Logistics, Industrial, and Financial Services sectors.
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