Original research and AI tools development.
Bioinformatics for discovery and annotation, and proprietary quality management for AI projects. Two capabilities held to one standard of evidence.
Diagnostics
Highly specific identification of pathogen, variant and disease state, for development and clinical decisions.
Drug resistance
Mechanisms of action, resolved to the residues and pathways that determine resistance.
Immune evasion
How pathogenic cells and tissues evade the immune system, and how it can be redirected against them.
Discovery & annotation
- Knowledge-based computational biology
- Biologically meaningful features and annotations
Custom proprietary systems for AI projects
- Quality SOPs · quality assurance
- Quality control · continuous improvement
On complex work, a model's first draft can contain errors it cannot see. The system is built to find them.
We work on long, multi-source, complex projects, and that is where an AI assistant fails in a particular way: the draft is fluent, well formatted, traced to its sources, self-checked — and still wrong in places the author cannot see. The system's rule is that every such draft goes in front of an independent reviewer in a fresh context, the review is bound to the document with a receipt, and no finding is applied until it has been checked against the source.
See how it works →
To apply modern AI to hard biological and biotechnological problems — robustly, and in a solid biological context — for unmet needs in medicine and biotech.
Tell us what the work is.
Research collaboration, annotation work, or a quality system for an AI project.