What Our Clients Say?

"We are specialists in diagnostic imaging solutions and make diagnostic devices for ophthalmology, digital pathology and oncology applications.
We have been collaborating with InuAid since Sep 2020 for AI/ML solutions for our devices. InuAid understood the intricate functioning of our hardware components quickly. They help in system software integration work. They are committed deep-tech sincere experts and also established the Agile SCRUM model of working in our engagement.
The way InuAid progressed systematically with our high-level complex requirements and limited inputs was excellent. We experience their vision and principles in the execution with good alignment with our expectations. We continue to look forward to a long-term collaboration with InuAid."
Dr. Ravi Kiran Manapuram, PhD (USA), Director and Principal Investigator, MedevPlus.
"Our ML team has made years of progress in a matter of months with your support! Thank you guys.
Please don't hesitate to ask me to recommend you on any opportunity!"
Ashwin Kumar, Co-founder & CEO, Vunet - AI driven IT operations
"The way of teaching in both tamil and english is very good.
I request you to continue the same."
Manikandan A
"Very happy with the progress.. Thank you team..
Cannot stop saying thank you.."
Gupta, Managing Director, Thribhu Inc
Previous Next

✓  Power-up your digital transformation initiatives!

✓  Leverage our Artificial intelligence (AI), Machine Learning (ML) and Digital cloud solutions capabilities from our 22+ years global industry solutions expertise.

✓  Our key differentiator is our full-stack end-to-end secure-cloud-based productionizing capability.

✓  We convert your domain expertise into an AI enhanced product.

✓  We are incubated by IIT Madras, the No.1 engineering university in India.

✓  Founded by three IIT Madras 1998 alumni including two IIT Madras Professors.





Our Solutions


...has been validated with a small hospital. The results are very encouraging. Low-cost second opinion on health of lungs through Artificial intelligence digital solution. X-ray imaging as a patient management tool for monitoring respiratory illness progression. CXR AI product solution for integration with PACS of large hospitals to improve and refine our CXR AI product is in progress.


...Preclinical molecular imaging - an essential tool for drug discovery, monitoring therapeutic efficacy and disease progression in rodents. Applications: Radiography, CT, Fluoroscopy, X-ray Luminescence and Optical Fluorescence Imaging Deep-learning solutions. Segmentation of organs and tumor regions, Automated disease classification models, Image Registration, Image Reconstruction.


...Developed tools for predictive risk analysis of the software infrastructure. “Our ML team has made years of progress in a matter of months with your support! Thank you guys. Please don't hesitate to ask me to recommend you on any opportunity!“ - Ashwin Kumar, Co-founder and CEO, Vunet - AI driven IT operations.


...Cannot stop saying thank you..“ - Gupta, Managing Director. ML/AI module: Extract text from captured image using computer vision DL solution, Use speech-to-text recognition to capture product details as well as search, Integrate all components and test it on cloud.


...classification DL model for face recognition, Design and implement database for the project solution, Develop progressive web app mobile solution, Test progressive web app in local environment, Integrate all components and test it on cloud.





Online Courses





Leaders


Ganapathy, an young professor in IIT Madras, leads our Imaging solutions using Artificial Intelligence (AI) and Machine Learning (ML) technologies. He led one his teams to victory in the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in Canada in 2017. His research areas include developing multi-modal imaging systems and developing software for image analysis and his group has participated and presented winning entries in many international medical imaging grand challenges. In close collaboration with radiologists, Ganapathy develops methods for automated analysis of medical images towards obtaining useful diagnostic and prognostic information. He validates these methods on publicly available databases as well as using data from radiologists.

Ganapathy's work experience include being a Software developer in Quadrespec and Research analyst - postdoctoral fellow in Case Western Reserve University and Mayo Clinic. He is a post-graduate from IIT Madras, and a Ph.D from Purdue University, USA.

Balaji, another young professor in IIT Madras, has deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) technologies. He helped several organizations with resolving their deep technology application solutions. His research interests include Fluid dynamics, Turbulence in compressible and hypersonic flows, Computation of rarefied flows, Numerical analysis and High performance computing. Balaji has also received awards for excellent teaching. From 2008-2016, he was in the Applied Mechanics Department at IIT-Delhi.

Balaji received his M.S in Aerospace Engineering from Purdue University in 2000 and Ph.D. from the Department of Aeronautics and Astronautics, Stanford University in 2006. He completed his B.Tech from IIT Madras in 1998.





Contact Us




Kindly contact us and we'll get back to you within 24 hours.


InuAid Solutions Pvt. Ltd.,
    Module 6 First Floor,
    IIT Madras Research Park,
    Kanagam Road, Taramani,
    Chennai 600 113, India


  Contactus@inuaid.com


  +91 - 44 - 6646 9872





Our Vision


To help organizations, communities, and individuals through our Artificial Intelligence (AI), Machine Learning (ML), and Digital solutions, products, consulting, research, and training services.



Our Principles


1. Make stakeholders awesome!

We learn your context, pain points, what holds you back, and what you aspire to achieve.



2. Make safety a prerequisite!

We protect your time, information, reputation, money, health, and relationships and strive to make our collaborations, services, and products resilient and safe.


3. Deliver value continuously!

Requires us to divide larger amount of value into meaningful smaller portions that may be delivered now rather than later.


4. Learn rapidly through iterations!

By identifying small meaningful scope of work to do in iterations and through open and transparent discussions with stakeholders.