Some of the most important medicines in history began as venom. The blood-pressure drug captopril traces back to peptides in the Brazilian pit viper’s venom. Exenatide, the drug that opened the GLP-1 era for diabetes, comes from the saliva of the Gila monster. Ziconotide, a powerful non-opioid painkiller, is a cone snail toxin refined into a medicine. A young Bengaluru startup called Venomics AI is now asking a thrilling question: if nature has already spent 700 million years perfecting these molecules, how many more medicines are hiding in venom — waiting for someone to look properly?
Venomics AI is a spinout of the Indian Institute of Science, co-founded in May 2026 by Professor Kartik Sunagar and Dr Vinay Prabhu. Sunagar is an Associate Professor at IISc’s Centre for Ecological Sciences, where he leads the Evolutionary Venomics Lab — one of India’s leading venom research programmes, with 101 publications and more than 6,500 citations behind it. Prabhu, the company’s CTO, holds a PhD in electrical and computer engineering from Carnegie Mellon University and was earlier Chief Scientist at UnifyID, bringing deep expertise in machine learning and large-scale AI systems. Between them, they pair two halves of a discovery engine that neither could build alone: world-class venom biology and world-class AI.
The Venom Atlas
At the heart of the company sits the Venom Atlas, a growing molecular dataset of animal venoms. The platform sequences venoms to map their molecular diversity, uses AI to rank the molecules most likely to become drugs, and then tests those predictions in the company’s own laboratory. The company says its library spans more than 20 million unique bioactive peptides, aimed at over 100 disease-relevant targets — a precision library shaped by hundreds of millions of years of evolution, where every molecule has been tuned for potency and selectivity.
The first frontier is antimicrobial resistance. Drug-resistant pathogens are outpacing the development of new antibiotics, and the company says venom-derived peptides offer a promising new source of antimicrobials — molecules that can disrupt microbial membranes, strengthen host defences and attack pathogens through mechanisms that existing drugs do not use. Venomics AI’s focus is discovering and engineering those molecules into next-generation therapies for infectious diseases.
Beyond antibiotics
The same library reaches far beyond infections. The company is exploring venom-derived molecules for diabetes and weight loss, building on the GLP-1 lineage that began with the Gila monster; for pain, by targeting the ion channels that carry pain signals; for cancer, senescence and ageing biology; and even for bioinsecticides — biodegradable, venom-inspired alternatives to chemical pesticides that target insect ion channels with precision.
The backing is already arriving. Venomics AI has raised $2.7 million in a pre-seed round co-led by Speciale Invest and South Park Commons, with participation from Operators Studio, to expand the Venom Atlas, deepen its AI and laboratory screening, and hire across biology, computational science and drug discovery. The company has joined the NVIDIA Inception programme and was named among the top five finalists for the 2026 Indo-Boston Biotech Bridge Award.
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And the science behind it has already made headlines of its own: Sunagar’s lab at IISc published work in Science Translational Medicine in September 2026 on an experimental nanobody antivenom that protected laboratory mice from the venom of cobras and king cobras — a glimpse of what venom research, done rigorously, can deliver.
India is home to extraordinary venom biodiversity, and Venomics AI is building its discovery engine right where that biodiversity lives. From a Bengaluru lab, the company is turning nature’s deadliest secrets into the raw material for tomorrow’s medicines — and the first chapter of that story is only just beginning.
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