India holds the world’s most untapped venom library. We’re decoding it with AI.
"Venom peptides don't destroy.
They Bind, Block, Modulate."
Venoms are nature’s most information-dense drug library—vast, precise, and underexplored. We combine high-resolution venomics with AI to decode targets and generate clinically actionable leads.
<0.1% explored.
A library larger than all synthetic chemistry—waiting.
Voltage-gated ion channels (pain, epilepsy), GPCRs (metabolic, cardiovascular), and Coagulation factors (thrombosis).
Phospholipases, metalloproteinases, three-finger toxins — cardiovascular, neurology
Chlorotoxin, iberiotoxin — oncology, pain, ion channel targets
Acylpolyamines, knottins — pain, epilepsy, anti-infective
Conotoxins — one of the richest peptide sources known, analgesics
Sea anemone toxins — ion channel blockers, autoimmune disease
Exendins, helodermins — metabolic disease, GLP-1 pathway
Derived from cone snail Conus magus toxin ω-conotoxin. A pioneering non-opioid analgesic for severe chronic pain.
Conus magus · FDA Approved 2004
Based on exendin-4 from Gila monster Heloderma suspectum saliva. The foundational GLP-1 receptor agonist for type 2 diabetes.
Heloderma suspectum · FDA Approved 2005
Inspired by bradykinin-potentiating peptides in Brazilian pit viper Bothrops jararaca venom. The first ACE inhibitor to hit the market.
Bothrops jararaca · FDA Approved 1981
Our integrated platform spans the full drug discovery continuum—from specimen acquisition and venom characterisation to lead identification and candidate optimization.
We profile the full toxin complement of India's venomous species using mass spectrometry and RNA-seq to build the most comprehensive venom proteome database in the subcontinent.
Deep learning models trained on structure–activity data predict therapeutic potential, target selectivity, and ADMET profiles for millions of candidates simultaneously.
We develop recombinant antivenoms from venom gland transcriptomics, enabling broader neutralisation, improved safety, and scalable manufacturing to overcome the limits of horse-serum.
India's 300+ snake species, 1,400+ spider species, and 150+ scorpion species represent an untapped reservoir. We are building the foundational atlas of this molecular diversity.
AlphaFold-guided structure prediction and cryo-EM validation of peptide–target complexes to understand binding mechanisms and guide rational lead optimisation.
We collaborate with academic institutions and pharmaceutical companies to co-develop programmes and license our platform and compound portfolio into existing pipelines.
From computational screening to preclinical validation, our pipeline identifies antimicrobial, antifungal, cardiovascular, and analgesic leads from venom peptide libraries, then advances the highest-confidence candidates through in vitro and in vivo assays.
An end-to-end, data-driven engine compressing a traditionally decade-long journey into a streamlined, scalable platform.
Field expeditions across India's biodiversity hotspots
Mass-spectrometry + Sequencing
High-throughput screening of ion channels and targets
Deep learning models score millions of peptide candidates
Candidates ranked, selected, and synthesised
In vivo models for efficacy and toxicity
IND-ready molecule advanced to partners or in-house
A multidisciplinary team spanning toxinology, computational biology, and machine learning.
An evolutionary biologist and founder building at the intersection of biodiversity, deep science, and drug discovery. Based at IISc, Bengaluru, his research group studies animal venoms and develops innovative treatments for snakebite, including monoclonal antibodies and small-molecule therapeutics. Through Venomics AI, he is creating a scalable biodiscovery platform that transforms nature’s toxins into tomorrow’s medicines.
Google Scholar ↗
An AI expert and technology leader building at the intersection of computation and drug discovery. He leads the development of advanced machine learning platforms that analyse complex biological data, enabling the identification and optimisation of novel therapeutic candidates. As co-founder of Venomics.AI, he drives the company’s computational strategy, transforming large-scale venom datasets into actionable insights for next-generation medicines.
Google Scholar ↗Key milestones, press features, and research breakthroughs from the Venomics AI team.
View All News →World-Class Scientists Guiding and Validating Our Science.
+ Expanding Advisory Board
Our advisory network is growing — reach out if you'd like to collaborate.
Peer-reviewed science
Whether you're an investor, partner, scientist, or patient advocate — we want to hear from you.
info@venomics.aiIndian Institute of Science, Bengaluru 560012, India
info@venomics.ai
press@venomics.ai for media inquiriesWe'll be in touch within 2 business days.