Decoding Hidden Bio Signals
covertBiome builds AI-driven biological intelligence to decode hidden bio signals, map disease mechanisms, and uncover therapeutic relationships from fragmented biomedical data.
Building a computational intelligence layer for disease biology.
Our work focuses on reverse-engineering drug–disease biology by integrating public and private biomedical signals into structured, research-ready systems.
Disease Mechanisms
Map biological pathways, genes, phenotypes, and molecular signals associated with disease progression and response.
Drug Relationships
Connect drugs, targets, mechanisms, clinical evidence, and biological context to identify therapeutic relationships.
Hidden Signals
Detect patterns across fragmented datasets that may reveal new hypotheses for research and discovery.
From fragmented biomedical data to mechanistic insight.
The platform is designed as a research system combining data harmonization, biological knowledge graphs, machine learning, and foundation-model style representation learning.
Public data first, research integrity always.
Biomedical Data Inputs
- Public omics and disease datasets
- Drug, target, and pathway resources
- Biomedical literature and curated annotations
- Clinical trial and therapeutic evidence sources
Responsible Research Use
- Non-diagnostic research platform
- Designed for hypothesis generation
- Privacy-aware data handling
- Evidence tracking and reproducible workflows
Founder-led research startup.
AI-driven computational biology for hidden bio signal discovery.