engineer-i@MOveOaLL-@MOveO by moveo-i@MOveO limited

engineer-i design engineering suite of AI tool kit series 

our mission

We do design and develop algorithms, using  machine learning/Deep learning algorithms, to develop surrogate or hybrid  quantum models, to solve design models.  Surrogate models  developed  using artificial neural network in quantum domain, in order to estimate design performance, through life cycles of design, checked, validated and verified against captured design requirements. All are scripted on python..

our mission

We do design and develop algorithms, using  machine learning/Deep learning algorithms, to develop surrogate or hybrid  quantum models, to solve design models.  Surrogate models  developed  using artificial neural network in quantum domain, in order to estimate design performance, through life cycles of design, checked, validated and verified against captured design requirements. All are scripted on python..

our task

engineer-i, is design engineering suite of  algorithms, featured using machine learning and deep learning technologies on artificial neural network architecture , to build surrogate quantum models, from classical mechanical models, enabled on cloud/edge. Quantum computing  in this process, has  offered a viable path towards  efficient multi-parameter optimization covering the entire design space.  

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Our technology

engineer-i  API’s enabled by methods  (i) development of quantum-hybrid approach code, based on development of solver using open-source free software to analyse and design propulsion plant, to assess performance through life cycles of design as classical systems extension to quantum states   burdens that inherently exist in Monte Carlo simulation.

engineer-i design engineering suite of AI tool kit series: Featured APIs

engineer-i design engineering suite of AI tool kit series: Technology

engineer-i design engineering suite of AI tool kit series : Contact