Optimization and Discovery for Complex Systems

ProtoLife's Predictive Design Technology™ (PDT) offers new, revolutionary capabilities

for discovery and optimization


Exponentially efficient experimentation

With PDT, huge experimental campaigns become feasible, even if you are on a budget. PDT will intelligently leverage your experimental data to show you an extremely quick, cost-effective path to the result you desire.

Automated complex decisions

PDT uses state-of-the-art machine learning techniques to close the experimental loop by building predictive models from your experimental data, and delivering new experiments that are most likely to give improved results. All completely automatically.

Fast, advanced data science on demand

Years of development and experience in the use of data science for design of experiments are now promptly available through PDT's easy-to-use web interface. This means you don't need to be a data science expert, and you don't need to hire one.

Design of Experiments Meets Artificial Intelligence

Conventional design of experiments approaches are limited to exploration of just a few parameters; PDT has proven success for experimental spaces comprised of up to 20 parameters, where there are far too many experiments to explore exhaustively. PDT brings artificial intelligence to science, using advanced machine-learning techniques to build models that predict new experiments that have highest probability of yielding desired results. PDT opens the door to a new universe of results for all modern high-throughput and medium-throughput experimental platforms, by building a sequence of predictive models for successive generations of experiments.

Our methods are applicable in a wide range of applications, from exploration of complex biotech experiments, to discovery of new materials and catalysts, to optimization of production processes. Click the images below to learn more. Peer-reviewed articles describing successful applications of PDT are available in the Documentation tab above.


PDT for Biotechnology

State-of-the-art laboratories now have robotic tremendous high-throughput experimental capabilities, but that require sophisticated programming and control to realize their potential. When your experiments are complex (several experimental parameters with possible nonlinear interactions among them), the problem of experimental design becomes exponentially hard. ProtoLife's Predictive Design Technology will allow you to fully leverage your high-throughput experimental capabilities by coupling them to our machine-learning algorithms.

Materials Discovery

PDT for Materials Discovery

Whether producing plastics or catalysts, complex industrial chemistry often requires specification of several constituents and process parameters. When these parameters interact with each other in strong, nonlinear, unpredictable ways, high-throughput exploration is the primary route to discovery. Experiments can be quite expensive, so it is of paramount importance to leverage them in the discovery process, as allowed by ProtoLife's Predictive Design Technology.

Process Control

PDT for Industrial Process Optimization

Industrial process optimization typically requires a choice of many parameters that have a strong outcome on the end product, and furthermore interact with each other strongly and in unpredictable ways. ProtoLife's Predictive Design Technology allows you to realize the full potential of your process, minimizing costs and maximizing efficiency.

We are proud to present a web interface to PDT, simple to use, but extremely powerful, with parallel computations spawned in the cloud, working to predict the quickest path to your optimal target.

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