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Vyuhaa Med Data

Category: AI in Healthcare

A deep-tech startup developing AI-powered digital pathology and edge-computing diagnostic solutions for healthcare and agriculture. Vyuhaa Med Data was founded in 2022. The company is led by Madhusudan CP. Based in Bengaluru, India. Team size: 11-50. Total funding raised: Undisclosed. Latest round: Grant. Key investors include ["iTNT Hub","MIT Solve","NVIDIA Inception Program"].

Founded
2022
Headquarters
Bengaluru, India
Team size
11-50
Total funding
Undisclosed

Value proposition

Delivers affordable, real-time diagnostic accuracy at the point of care by combining proprietary deep learning models with low-cost edge hardware, bypassing the need for expensive lab infrastructure.

Products and solutions

["CerviAI: AI-powered cervical cancer screening platform for low-cost diagnostics.","AI-Powered Microscope: Automated disease detection system for silkworms (Pebrine disease).","Edge-AI Digital Pathology Platform: Software for real-time medical image analysis.","Automated Disease Detection Software: General-purpose AI models for microscopic analysis."]

Unique value

Successfully repurposes high-end medical AI (digital pathology) to solve niche agricultural problems, such as reducing crop loss for silk farmers through automated microscopic screening.

Target customer

Healthcare providers (rural and urban), diagnostic laboratories, government agricultural departments, and silk farmers.

Industries served

["Healthcare AI","Agri-Tech (Sericulture)","Digital Pathology","Edge Computing"]

Technology advantage

Proprietary deep learning algorithms optimized for edge devices, enabling high-speed image processing and diagnosis in remote areas without reliance on cloud connectivity or expensive laboratory hardware.

How they differentiate

Vyuhaa differentiates through 'Edge-AI' capabilities, allowing high-speed diagnostic processing locally on the device without requiring cloud connectivity. Unlike competitors focused solely on clinical settings, Vyuhaa has successfully adapted its medical-grade AI microscopy for agricultural use (sericulture), creating a unique dual-market revenue model.

Main competitors

["SigTuple","Periwinkle Technologies","Karkinos Healthcare"]

Key partnerships

["Central Silk Board (CSB) - Ministry of Textiles, India","NVIDIA (Recognized among Top 10 NVIDIA Startups in India)","iTNT (Innovation Hub)","MIT Solve (Global Economic Prosperity Challenge)"]

Notable customers

["Central Silk Board (Ministry of Textiles, India)","Government of Tamil Nadu (iTNT Hub)","Various diagnostic laboratories in South India"]

Major milestones

["Winner of the iTNT Innovation Challenge 2023","Selected for the MIT Solve Global Economic Prosperity Challenge 2024","Commercial launch of CerviAI for cervical cancer screening","Strategic partnership with Central Silk Board to automate Pebrine disease detection in silkworms"]

Growth metrics

Selected as one of the Top 10 NVIDIA startups in India; partnered with the Central Silk Board for national-level deployment of AI microscopes.

Market positioning

Early-stage deep-tech innovator specializing in affordable, point-of-care diagnostic hardware and software for resource-constrained environments.

Geographic focus

Primary focus on India (Rural and Semi-urban), with expansion targets in Southeast Asia and Sub-Saharan Africa through global health partnerships.

Patents and IP

Proprietary AI models and diagnostic algorithms; specific registered patents not publicly disclosed as of latest update.

About Madhusudan CP

Madhusudan CP is a veteran technology leader with over 30 years of experience. He previously co-founded and led Lucid Software Ltd for three decades, specializing in advanced Non-Destructive Testing (NDT) software. He is an alumnus of IIT Madras and IIM Bangalore and has a deep background in industrial technology and software development.

Official website: