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Powering Mobility Through Engineering and Innovation 

Cradled in Barcelona, Shaping the Future of the World

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OUR METHODOLOGY

At AutoSim Solutions, we specialize in engineering and technology consulting, providing innovative solutions tailored to meet the unique needs of our clients. Our team of experienced professionals offers a wide range of services, including AI innovation, project management, system design, and technology integration. We are committed to delivering high-quality results that drive efficiency and foster growth in various domains.

Our approach is grounded in engineering exc​ellence and innovation. We are dedicated to delivering results through strategic insights and nurturing long-term client partnerships.

Our Project Portfolios

Through our collaborative work on client projects, we've gained valuable skills in

Automotive Virtual Development

Static, dynamic, fatigue, acoustics, occupant and pedestrian safety, computational fluid dynamics etc.

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Research and Development services

Design of Experiment, Optimization, Data analytics

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AI Innovation and FutureTech

Battery Technology, Artificial Intelligence (AI) and Machine Learning (ML) assisted project support

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Product Design and Development

Component or Customized product/ process virtual development, SaaS, Cloud Services

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At AutoSim Solutions, we thrive on teamwork, innovation, and engineering excellence, delivering impactful solutions and building lasting client relationship.

Our Skilled Professionals

Meet the experts behind our consulting firm. Your project will be in capable hands with our team.


Bharath Anantharamaiah, PhD, MBA

Finite element analysis, Acoustics, DoE and optimisation, Body design, Tyres and Brakes expert


An Automotive Engineer with 9 years of diverse experience in engineering and management. Holds 

  • dual M.Sc. degrees in Mechanical Engineering from RWTH Aachen, Germany, 
  • a Ph.D. in Acoustics from INSA Lyon, France, and 
  • an MBA in Global Technology Leadership & Innovation Management from EADA Business School, Barcelona, and Ecole des Ponts Business School, Paris.

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Divya Krishna, MSc

Automotive data expert, Predictive analytics, Exploratory data analysis, AI/ML expert


Experienced Automotive System Engineer and Lead Data Scientist with 9 years of expertise. 

  • Holds a Master's in Information Technology from Frankfurt University of Applied Sciences, Germany. 
  • Contributor to 6 patents during tenure at Bosch.

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Sumalata K Kamat, MTech

Predictive analytics, Service diagnostics, Diesel, Hybrid vehicles, AI adoption and digitalization leader


Senior Automotive Systems Engineer and Technology Leader with 10+ years of experience. Expert in AI adoption, digitalization, predictive analytics, and service diagnostics. 

  • Holds M.Tech in Data Science & Engineering from BITS Pilani, India
  • Contributor to 4 patents, specializing in diesel and hybrid vehicle technologies.
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OUR BACKGROUND AND TESTIMONY

Following are the individual contributions made by our consultants in their respective field of expertise.

PUBLICATIONS
  • Airless tires in LEON-T project. How can they be modelled?, SIAT 2024, SAE technical paper, Publisher – SAE India
  • Implementation of radiation effects in thermo-mechanical coning model of a brake disc, FISITA Eurobrakes, 2023
  • Seminar - Influence of rubber hardness on tyre rolling noise, Tyre Technology Expo, Hannover 2023.
  • Modelling tyre rubber materials for high frequency FE analysis of tyre noise, JSAE 2022.
  • Advanced numerical methodology for tyre noise prediction, F2020-MCF-027, FISITA 2021
  • Investigation on Contribution of Individual Rubber Materials on The Overall Tyre Modal Behavior. Forum Acusticum, Dec 2020, Lyon, France. pp.2279-2284, 10.48465/fa.2020.0644. hal-03235469
  • Innovative Material Characterization Methodology for Tyre Static and Dynamic Analyses, SAE Technical Paper 2020-01-1519, 2020.
  • Seminar - Novel methodology to determine the hyperelasticities of tire rubber constituents, Tyre Technology Expo, Hannover 2020
  • Modelling of Forming Limit Bands for Strain-Based Failure-Analysis of Ultra-High-Strength Steels. Metals 2018, 8, 631.
  • Seminar - Advanced Method Development for Form Optimization of Automotive Airbag Geometry, Carhs Automotive CAE Grand Challenge, Hanau Congress Park, Germany, 2017 
PATENTS
  • A device and method for determining operational metrics of a vehicle, 202141028855, Filed  Feb 28, 2021
  • A Method to monitor battery health of a vehicle, IN202041046718,  Filed Oct 27, 2020
  • A method of detecting a degree of filter clogging in an internal combustion engine, IN 201941043084, Filed Oct 23, 2019
  • Method of detecting degree of filter clogging in internal combustion engine, IN201941039452, Filed Sep 30, 2019
  • A method of controlling a fuel injector, IN201941033651, Filed Aug 21, 2019
  • A device and method to hold a clutch pedal of a vehicle to a half-clutch position, IN201941030073, Filed Jul 25, 2019

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