Cutting-edge tech consultancy
Yanxiki is a company in the field of engineering consultancy, formed by a group of experts with backgrounds in diverse engineering domains and fields. We work with organizations globally and provide consultancy services for industrial research and development. We mainly operate in the fields of numerical simulation and custom software development.
Our team comprises of highly qualified engineers (with advanced degrees from reputed institutes) with rich academic and industrial R&D experience. Our experts have worked in the fields of aerospace engineering, automotive engineering, industrial engineering, medical technology, oil and gas extraction, power generation and turbo-machinery.
Our expertise
Computational Fluid Dynamics
PROVEN EXPERTISE IN CFD ANALYSIS, MANAGING COMPLEX MULTI-DOMAIN PROJECTS FOR A GLOBAL CLIENTELE
Our team has rich experience in computational fluid dynamics (CFD), having worked in the field since the mid-90s. We have performed CFD analysis for numerous physical phenomena using commercial and open-source CFD packages. We have used Ansys Fluent, CFX, Simcenter Star-CCM+, Numeca, OpenFoam, SU2, among many others.
| ANSYS FLUENT | CFX | NUMECA | SIMCENTER STAR-CCM+ | OPENFOAM | SU2 |
Our team has also been involved in development of commercial CFD software on all fronts (geometric modeling, mesh generation, numerical solvers, and scientific visualization).
| GEOMETRIC MODELING | MESH GENERATION | NUMERICAL SOLVERS | SCIENTIFIC VISUALIZATION |
Therefore, it is not a tall claim to say that we possess in-depth understanding of CFD tools and methodology and have successfully used it for simulation of many types of multi-physics processes. We have worked with many global organizations to execute projects of varying complexities, durations and ticket sizes.
Our team has significant hands-on experience in the field of machine learning. We have used data analytics for various commercial and academic projects and have worked on a broad range of techniques, right from regression, to artificial neural networks.
|data analytics | MACHINE LEARNING | DEEP LEARNING | COMPUTER VISION| ANOMALY DETECTION |
We have used Python for ML applications using Scikit Learn, TensorFlow and Keras modules. We have worked on problems in the field of computer vision and anomaly detection.
| SCIKIT LEARN | TENSORFLOW | KERAS |
Machine learning for engineering
DATA ANALYTICS FOR COMMERCIAL AND ACADEMIC PROJECTS, EXPERIENCE IN BROAD RANGE OF TECHNIQUES
Software development
END TO END SOFTWARE DEVELOPMENT WITH EXPERTISE IN DIVERSE METHODOLOGIES AND PLATFORMS
Our team has successfully executed multiple software development projects for various global clients. We have developed end-to-end desktop software for domains like heat-transfer simulation inside a glass furnace, plasma modeling, modeling of crude oil mixing, among others.
| C/C++ | C# | PYTHON | FORTRAN | LINUX | MACOS | WINDOWS | ANDROID | IOS |
We have worked with globally distributed teams, have worked with multiple software engineering philosophies (waterfall, agile), worked with a range of languages (Fortran, C, C++, Python), and have developed software for all major operating systems (Unix, Linux, MacOS, Windows, iOS and Android).
| ALGORTIHMS | Software ARCHITECTURE | PERFORMANCE OPTIMIZATION | COMPUTATIONAL GEOMETRY |
We have helped our clients with development of better and more efficient algorithms, helped them reorganize their architecture and have helped them optimize the performance of their software (memory consumption as well as speed of execution).
Our team has worked on projects which required modeling of very complex physical phenomena and design of controllers used in equipment where such phenomena were observed. Our experts have many years of experience in fundamental academic research, teaching and use of cutting-edge research in solving commercial problems.
| dynamical systems | controller design |
Our team has published numerous papers in reputed journals and conferences and authored technical textbooks in the field of aerospace engineering.
| REDUCED-ORDER MODELS | MATLAB | Simulink |
For certain projects we have successfully developed reduced-order models which were used for development of different types of controllers in combustion chambers of aerospace vehicles.
Mathematical modeling and numerical control
MODELING COMPLEX PHYSICAL PHENOMENA AND DESIGNING CONTROLLERS
“An engineer is someone who is good with figures, but doesn’t have the personality of an accountant.”