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Solve large-scale general non-linear problems to global optimality


Octeract Frontier

A unique, one-click optimisation engine that always finds the best (global) solution to general, mixed-integer, non-linear, non-convex problems (MINLP). Frontier implements cutting-edge research in deterministic global optimisation (DGO). DGO is the science of guaranteeing global optimality for general non-linear problems. However, this guarantee comes at a cost: DGO problems are very computationally expensive and, until now, it was not known how to exploit more than one core to get the guaranteed global solution faster.

Octeract Frontier implements unique algorithms for parallel DGO, developed by its founding team: it is the first DGO engine that can use GPUs and thousands of processors. This reduces solution times, from thousands of years to mere minutes.

Frontier is pioneering software - no optimisation engine exists that can solve the problems that Frontier can to guaranteed global optimality.

Octeract Hypercube

For the very first time, natural language (English) can be used to model optimisation problems. Octeract Hypercube automatically translates commands from English to mathematics - the model will then run on an optimisation engine as usual. This means that there is no need to have specific coding or optimisation knowledge to find the best solution to an optimisation problem.

You know how to phrase your needs and constraints - Hypercube does the rest.

Dr. Nikos Kazazakis


Nikos has a combined 10 years of academic and industrial experience within the field of mathematical optimization and spent 5 years (PhD and postdoc) researching the field of Deterministic Global Optimization (DGO) at Imperial College London where he invented and implemented the world's first and only known algorithms on efficiently parallelising DGO methods.

Dr. Gabriel Lau


Gabriel did his PhD in molecular physics at Imperial College London and has published several papers on the development of new computational techniques and mathematical methods within the fields of statistical mechanics and molecular modelling. Coming from a physics and fintech background, he has extensive experience in applying numerical algorithms and problem solving to important real-life problems as well as the development of massively parallel software.

Professor Claire Adjiman


Claire is a professor in the chemical engineering department at Imperial College London and a world-leading expert in the field of deterministic global optimization. She is also the director of the Centre for Process Systems Engineering, a multi-institutional research centre of world-class departments, that has industrial links with some of the largest oil & gas companies. In recognition of her achievements, she was recently made fellow of the royal academy of engineers.

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