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Come join us to tackle real-world challenges and create a sustainable future together. Let’s connect and work together to bring your ideas to life through our Research and Development Programs. IVA’s R&D Innovation Ecosystem provides a platform for visionaries and domain experts to connect and collaborate globally, leveraging people, resources, and tools to drive innovation. This is a space for those passionate about transforming the everyday and breaking down borders to accelerate progress worldwide. Get in touch and let’s tackle real-world problems together

Transforming raw data into real-time insights with our inferential sensor pipeline

Implementing a real-time pipeline for inferential sensors by collecting sensor data and processing it in real-time including modules such as failed sensor detection logic, noise detection, synchronization of modules, AI/ML module, and documentation and demo. These modules work together to ensure that accurate data is obtained, analyzed, and used to generate insights and recommendations in real-time. The documentation and demo provide a means of showcasing the pipeline and demonstrating its functionality

Centralised data handling and process automation of handling strain sensor data

This system provides a centralized repository for storing engine-run data, enabling easy access and management of large volumes of strain sensor data. Process automation streamlines data processing, improving efficiency and accuracy. By consolidating data in a single location, the system simplifies data management and enables better data analysis. The solution can be customized to meet specific requirements and is designed to support a wide range of engines and data sources

Specialized Noise Removal Algorithms for High-Frequency Strain Data Analysis

IVA is engaging with DRDO (Defense Research and Development Organization) to remove noise from high-frequency strain data. Typically, noise removal algorithms are applied to remove unwanted signals from the data, but the standard algorithms that are presently being used are not effective for the specific strain sensors. Therefore, specialized algorithms are being developed for removing unwanted signals from high-frequency strain data, without compromising the accuracy of the data. This is likely to involve training models on large amounts of data to learn the unique characteristics of the strain sensors being used by DRDO and analyzing the characteristics of the strain sensors, such as their sensitivity, frequency response, and noise sources.

Engineered for Safety – Automatic detection of failed sensors in Jet engines

Failures in sensors of Turbo jet engines can have serious safety implications. By detecting failures in sensors automatically, potential safety hazards can be identified early and addressed before they become more serious. By addressing problems early, the likelihood of more significant failures that can lead to expensive repairs and downtime is reduced. The process of researching and developing an algorithm for the automatic detection of failed sensors requires a combination of data analysis, machine learning, and software development skills, to automatically detect sensor failures in real-time, based on the identified patterns and behaviours.

Improvement of prediction accuracy

In trying to make predictions using machine learning, there are a variety of different models that can be used, such as linear regression, decision trees, neural networks, ensemble models and more. Each of these models has its own strengths and weaknesses and may perform better or worse depending on the specific task and data being analyzed.

Revolutionizing Healthcare: Experience Precision Medicine with Digital Twins of Human Organs

IVA is developing digital twins of human organs, which can analyze healthcare practices, monitor disease and wellness, and integrate individual patient data with physiology and immunology to predict medical events. These 3D images are tailored to each patient and created using machine learning algorithms trained on a massive patient database. Initially, the IVA will create digital heart models to assess cardiovascular risks.

Partnering with top-notch Indian Institutions to transform industry

Research Team

Dr Raghu C V

Mentor, NIT Calicut

Dr Dhanya S

Research Scientist

Dr Shaurya Shriyam

Mentor, IIT Delhi

Dr Lajish V L

Mentor, Calicut University

 Who are we ?

IVA is a data analytics research firm that provides industrial digitalization products, integration, and support services to the aeronautics, aerospace, and defense industries, as well as predictive analytics tools and strategic insights for informed decision-making and innovation. We specialize in helping businesses with the integration, aggregation, and analysis of enormous amounts of data from various sources, including industrial IoT sensors

Expertise

We specialize in machine learning and signal processing, with a focus on creating a fully automatic data analysis system. They have an experienced R&D team with expertise in signal processing, pattern recognition, and computer vision. IVA has established strong partnerships with prestigious universities like the Indian Institute of Technology to maintain their technological edge and domain expertise

Solutions

We create digital twins using their automation solutions and Digital Twin technology, utilizing their expertise in machine learning, signal processing, and domain expertise in aviation gas turbine engine systems and subsystems. We use ensemble modeling, no-code hyperparameter tuning, and domain expertise to handle high-frequency data competently. Our solutions assist clients in developing digital twins for process automation and diagnostic and prognostic analysis

Partnerships

We have a close collaboration with the Indian Defense Research Development Organization, one of our principal clients, to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning

Products

We have developed our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries, including aerospace, oil and gas, etc.

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The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning

IVA is a business that specializes in providing engineering software solutions and services that assist in the automation of industries through the use of Digital Twin technology, which produces virtual replicas of physical systems. Digitalization also places an emphasis on helping businesses with the integration, aggregation, and analysis of enormous amounts of data from numerous sources, including industrial IoT sensors.

Our team's primary areas of expertise are machine learning and signal processing, and the study is focused on creating an entirely automatic data analysis system. One of the essential things that set us apart from the competition is our great R&D team, which has experienced fellows in the field and expertise in signal processing, pattern recognition, and computer vision. IVA has strong partnerships with prestigious universities like the Indian Institute of Technology to maintain its technological edge and domain expertise. These partnerships enable IVA to handle high-frequency data competently using ensemble modeling, no-code hyperparameter tuning, and domain expertise in aviation gas turbine engine systems and subsystems.

The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

We appreciate our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries including aerospace, oil, gas, etc.

Partnerships

We have a close collaboration with the Indian Defense Research Development Organization, one of our principal clients, to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

IVA is a business that specializes in providing engineering software solutions and services that assist in the automation of industries through the use of Digital Twin technology, which produces virtual replicas of physical systems. Digitalization also places an emphasis on helping businesses with the integration, aggregation, and analysis of enormous amounts of data from numerous sources, including industrial IoT sensors.

Our team's primary areas of expertise are machine learning and signal processing, and the study is focused on creating an entirely automatic data analysis system. One of the essential things that set us apart from the competition is our great R&D team, which has experienced fellows in the field and expertise in signal processing, pattern recognition, and computer vision. IVA has strong partnerships with prestigious universities like the Indian Institute of Technology to maintain its technological edge and domain expertise. These partnerships enable IVA to handle high-frequency data competently using ensemble modeling, no-code hyperparameter tuning, and domain expertise in aviation gas turbine engine systems and subsystems.

The Indian Defence Research Development Organization, one of our principal clients, and IVA have been collaborating closely to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning.

We appreciate our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries including aerospace, oil, gas, etc.

Who are we ?

IVA is a data analytics research firm that provides industrial digitalization products, integration, and support services to the aeronautics, aerospace, and defense industries, as well as predictive analytics tools and strategic insights for informed decision-making and innovation. We specialize in helping businesses with the integration, aggregation, and analysis of enormous amounts of data from various sources, including industrial IoT sensors

Expertise

We specialize in machine learning and signal processing, with a focus on creating a fully automatic data analysis system. They have an experienced R&D team with expertise in signal processing, pattern recognition, and computer vision. IVA has established strong partnerships with prestigious universities like the Indian Institute of Technology to maintain their technological edge and domain expertise

Solutions

We create digital twins using their automation solutions and Digital Twin technology, utilizing their expertise in machine learning, signal processing, and domain expertise in aviation gas turbine engine systems and subsystems. We use ensemble modeling, no-code hyperparameter tuning, and domain expertise to handle high-frequency data competently. Our solutions assist clients in developing digital twins for process automation and diagnostic and prognostic analysis

Partnerships

We have a close collaboration with the Indian Defense Research Development Organization, one of our principal clients, to handle theoretically challenging and cross-disciplinary challenges in the areas of signal processing, computer vision, and machine learning

Products

We have developed our own no-code interactive platform, DataCivet, which enables rapid ML pipeline development with signal processing and machine learning toolbox support. DataCivet enables us to assist our clients in the development of digital twins for process automation and diagnostic and prognostic analysis. IVA's virtual sensor is an out-of-the-box solution for addressing many sensor failure issues in industries, including aerospace, oil and gas, etc.