Business Plan



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SYNERGETIC

The Predictive Biology Company



CONTEXT AND VALUE PROPOSITION

Introduction

Synergetic is a new type of biopharmaceutical platform, leveraging cutting edge deep learning and bioengineering methods to build highly predictive models of biology.
Our goal is to predict biological transformations from biological perturbations.
We develop and provide to our partners on a single platform: Bio-organisms models and Computational models of healthy and pathological human biology.
Those models are designed to learn from each other and jointly increase predictive power.
We believe truly predictive biology can be built from a synergy between in-vitro and in-silico models.
This is why, unlike traditional AI-enabled drug discovery companies, we iterate through experimental biology (wet lab) and computational modeling (dry lab) to test our results in a continuous, confirmatory loop.
By combining advanced in-vitro and in-silico capabilities, we can more confidently generate actionable insights on biology for the rapid discovery of novel treatments and innovative products.
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Problem

Our incapacity to determine the behavior of biological processes seriously hinders development in bioengineering and biomedical research. We still can not precisely estimate the impact of biological perturbation on the outcomes.
In bio-pharma, this means pre-clinical research is not a very strong predictor of clinical outcomes, in terms of adverse reactions and efficacy.
This results in a 90% attrition rate for hit molecules, 12 years hits-to-market and costs of $2.6B per market therapy on average.
Pre-clinical Pharmaceutical research is not a very strong predictor of clinical outcomes, in terms of adverse reactions and efficacy.
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Solution

Recent advances in AI and Bioengineering are however opening the door to a revolution in life science research.
Our goal is to push that revolution forward: we want to make research fast and predictive.
To achieve that goal we are building a new type of integrated platform, leveraging cutting edge deep learning and bioengineering methods to provide combined high-fidelity in-vitro and in-silico models of human biology.
Unique Value Proposition
We provide an integrated solution to accelerate biology research:
Two types of disease models designed to work in a confirmative loop for high predictive power:
-Organoid models derived from stem cells, highly representative of human biology
-In-silico models designed to simulate biological processes and suggest the biological perturbations needed to reach specific states.
An integrated software application to:
Plan and execute experiments on our models
Collect, visualize, and interpret datasets
Collaborate worldwide with shared standardized data and protocols.

TIMELINE


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