Built by researchers,
for researchers
OmniBioAI is an AI-native bioinformatics platform built to unify reproducible multi-omics analysis, agentic AI reasoning, and enterprise-grade infrastructure — across local, HPC, and cloud environments.
Why we built this
Modern bioinformatics is fragmented. Tools break between clusters. Pipelines cannot be reproduced. AI assistants hallucinate biology. Literature search is disconnected from computation.
OmniBioAI is our answer: a reproducible, AI-native operating system for biomedical research that runs identically on a laptop, a Slurm cluster, or AWS.
"Every lab was rebuilding the same infrastructure in isolation. We decided to build the platform researchers always wished existed."
What makes us different
We combine 12,000+ validated bioinformatics tools, 1,000 native ARM64 containers, a 9-stage RAG pipeline over 36M PubMed abstracts, and full cloud/HPC execution — in a single platform.
Available as a desktop app (Mac, Linux, Windows) and a web platform at webstudio.omnibioai.org — both powered by the same backend infrastructure.
Meet the team
We are a growing team of computational scientists, AI engineers, and domain experts building the future of bioinformatics infrastructure.
18+ years in bioinformatics and AI platform engineering across 5 countries. Bioinformatics Programmer at KUMC. Creator of OmniBioAI.
PhD in Bioinformatics, IIIT Allahabad (9.2 GPA). Associate Professor at SR University, Hyderabad. Former Senior Scientist at KUMC (4+ yrs). Expert in proteomics, epigenomics, and clinical genomics.
Researcher at University of Kansas Medical Center (KUMC). Expert in transcriptomics, RNA editing, computational genomics, and reproductive biology. Background in biotechnology and bioinformatics with focus on signaling mechanisms and gene expression studies.
Peer-reviewed research
Interested in collaborating?
Whether you're a researcher, institution, or biotech — I'd love to hear about your multi-omics challenges.