Public Non-Profit Research Lab

Accelerating Scientific Discovery Through Deep Research & AI Systems

We build autonomous AI systems that augment how scientists read, reason, and discover across computational biology and clinical medicine.

Peer-Reviewed Papers
2+
Years Industry ML Leadership
5.5+
Core Research Labs
3
Open Science & Open Access
100%

Research Pillars

Three labs, one question: how do we discover faster?

01

AI for Accelerated Scientific Workflows & Deep Research

  • Literature mining
  • Multi-agent hypothesis generation
  • Automated protocol synthesis
02

Computational Biology & Molecular Systems

  • Structural bioinformatics
  • Genomic variant impact analysis
  • Molecular modeling
03

Translational Quality & Regulated AI

  • High-reliability healthcare pipelines
  • Regulated ML quality systems
  • Clinical data validation

Lead Researcher

Industry rigor, open-science mission.

Leeladhar Annepu

Lead AI Research Engineer & Staff Scientist

M.Tech in AI/ML Systems Engineering from Vellore Institute of Technology (VIT). 5.5+ years leading Quality Analytics & Machine Learning at GlaxoSmithKline (GSK), plus senior roles at EXL Technologies, Wipro, and MyEyeDr.

Open Science

Build the future of discovery with us.

We collaborate openly with researchers, postdocs, and institutional grant partners. If you are working on AI-driven science, computational biology, or translational medicine, let's talk.