Biology is a tangled web of complexity.
Do you know which string to pull?

How do you
optimize your bioprocess
when you have
1,572,864 possible options?
From choosing the carbon source to selecting the operating temperature, bioprocesses optimization is all about navigating a vast option space.
At every step along the way, you need to find the best solution in a complex and multidimensional option space when you only have a few (and costly) shots on goal.
Navigating the infinite with finite resources is daunting
We know how frustrating it is to spend hours gathering and analysing data only to struggle to find the insight you need. Wrong experiments are the most expensive mistakes one can make. We’ve been there. We knew there must be a better way.
We know how frustrating it is to spend hours gathering and analysing data only to struggle to find the insight you need. Wrong experiments are the most expensive mistakes one can make. We’ve been there. We knew there must be a better way.
Navigating the infinite with finite resources is daunting

A smarter way to navigate complexity
Adaptive Design of Experiments
Through sequential optimization
we use experimental results to design what experiments to run next and
converge faster to the optima.
Focus your experiments on where it's “hot”
Adaptive Design of Experiments (aDoE) is like your data telling you where is “hot” and where is “cold” in your search space. It balances the exploration of new territories and the exploitation of warm leads between successive rounds of experiments to get you faster to the desired solution, while also exceeding your target.
aDoE Benefits
Go beyond brute force high-throughput screening to leverage advanced statistics to navigate the complex design spaces inherent with Biological Systems. Focus only on the most information-rich experiments so you can uncover actionable insights in fewer iterations.
Improve outcomes
Reduce costs
Learn more
Cut development time
Build IP
Build for small dataset
How aDoE works
DesignIdentify the most relevant experimental factors and design information rich experiments. |
MeasureExecute experiments then measure response and variability. |
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ModelBuild advanced statistical models that fit and explain your data. |
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OptimizeLeverage mathematical models to design your next set of experiments that maximise response. |
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We enable the industry across the board






