Multispecific yet truly natural antibodies

Taking next generation, multispecific antibody technologies into Alzheimer’s Disease and Antimicrobial Resistance

Taking next generation, multispecific antibody technologies into Alzheimer’s Disease and Antimicrobial Resistance

Who we are
Who we are

Long term pharma and biotech professionals with a track record of leading projects from research into the market

Our antibody development roots go deep

Our focus
Our focus

Multispecific yet natural

Alzheimer’s Disease and Antimicrobial Resistance

CD47 Dual targeting
Our pipeline

Fully human bi- and multi-specific antibodies for the treatment of Alzheimer’s Disease and Antimicrobial Resistant infections

Safe and selective blockade of CD47 on tumors

Looking into the future
Looking into the future

Beyond bispecific antibodies

Beyond bispecific antibodies

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Background on Artificial Intelligence (AI)

Harnessing artificial intelligence and machine learning to develop novel therapies

Current drug discovery efforts require significant time-consuming manual efforts to search literature, publications, and presentations to identify connections between genes, pathways, molecular targets, and drugs. Such efforts require searching through disparate databases and using search engines with poor understanding of the life sciences language, leading researchers to have an incomplete understanding of all the connections and interactions between biological entities.

We believe that harnessing artificial intelligence and machine learning will allow us to overcoming these challenges and significantly increasing the chances of success while reducing the time and money spent.

This is why we have partnered with Innoplexus, a global champion in the field of Artificial Intelligence for Life Sciences.

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Innoplexus is a leading global AI-based platform for drug discovery and development with over 100 patent applications including 21 grants in artificial intelligence, machine learning, and blockchain technologies. Innoplexus' solutions can generate real-time insights from hundreds of terabytes of structured and unstructured private and public life science data by rendering it searchable for context; thereby facilitating virtual drug discovery with continuous, objective and informed decision-making at an unprecedented speed.

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