The people behind Formula-Y.
A small team combining platform engineering with deep immunology, genomics and bioinformatics, building fast, dependable antibody discovery from Groningen, the Netherlands.
We design antibodies in silico and validate them with partners.
Our mission is to empower researchers and biotech teams to accelerate antibody discovery through high-performance in-silico and in-vitro pipelines optimised for speed and reliability. Our vision is to offer the fastest antibody discovery services in the world.
From a feasibility question to a working design model.
Each step has been supported by regional and European innovation programmes: SNN, the Just Transition Fund and the European Union.
The question
Could therapeutic antibodies be designed computationally, before any wet-lab work, and could that be turned into a real service? A structured feasibility study begins under SNN's MIT Haalbaarheid scheme.
The verdict
The study concludes that AI-driven antibody design is both technically feasible and economically viable, and recommends building a proof-of-concept. Read the study →
The first decision
A second feasibility study, MIT Haalbaarheid 2025, examines whether AI can make target identification faster, cheaper and more systematic. Read more →
The proof of concept
Under VIA Groningen 2025 to 2026, Formula-Y is building and testing the proof of concept for its AI-driven antibody design, the foundation of the design service. Follow the project →
The team and advisors building Formula-Y.
Saikumar Veldanda
Co-founder of Formula-Y. Saikumar leads the company's technical platform and the AI systems behind its antibody design, connecting machine-learning research with the practical goal of getting reliable candidates to the bench faster.
Lakshman Rupanagunta
Co-founder and CEO of Formula-Y. Lakshman leads strategy, operations and partnerships, and drives the company's mission to make antibody discovery faster and more affordable. He focuses on building the collaborations and business foundation that turn Formula-Y's science into real-world impact.
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Syed Shahed Imam
Bioinformatician at Formula-Y. Shahed works at the interface of biology and data, curating and analysing antibody and antigen datasets, preparing high-quality inputs for the models, and helping translate biological questions into computational ones.
View profileHarshith Sai Gavi
AI engineer at Formula-Y. Harshith builds the deep-learning models at the core of the platform, from data pipelines to training and evaluation. He led the technical work behind Formula-Y's feasibility study and develops the generative models for antibody design.
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Dr. Aritri Dutta
A PhD immunologist whose work spans infectious-disease research, host-pathogen interaction, public health and antibody biology, with experience across academic research and R&D management (including the George Institute for Global Health and IIT Kanpur). Her guiding principle, 'bench to bedside,' keeps the science grounded in real clinical impact.
View profileDr. Rajesh Gazara
A bioinformatician and computational biologist specialising in genomics, transcriptomics, comparative genomics, metagenomics and next-generation sequencing, with a PhD from IIT Roorkee and postdoctoral research experience. He advises Formula-Y on genomics and epitope prediction, connecting large-scale sequence data to the targets that matter.
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Dr. Kari Severson
An antibody discovery and R&D scientist who advises Formula-Y on antibody generation and development. She brings hands-on laboratory perspective to the platform, helping ensure that computationally designed candidates are grounded in what works at the bench.
View profileWant to work with us?
We partner with labs for in-vitro validation and with research and biotech teams on antibody programs. Tell us what you are working on.