Accessibility
Advanced tools should be usable without specialist coding.
We build automated, machine-learning based bioinformatics software for bioscience researchers, from students taking their first steps to industry teams working at scale.
Our belief is simple: software complexity should not slow down scientific discovery.
Useful analysis often lives across specialist scripts, scattered databases, and manual interpretation.
AvennaX turns those steps into reproducible software so researchers can move from question to result faster.
AlphaSuite identifies domains, motifs, regions, residue coverage, and structure availability in one viewer.
AlphaSuite Atlas connects sequence annotations to 3D structures so users can see what is resolved, missing, and experimentally observable.
Advanced tools should be usable without specialist coding.
Results must be reproducible, traceable, and ready to defend.
The interface should explain the biology, not expose the plumbing.
Faster analysis means more time for experiments, decisions, and discovery.
Tara leads scientific strategy and product direction. Her background in structural bioinformatics and molecular biology shapes AlphaSuite around the questions researchers actually ask.
Peilin connects product decisions to real lab and data workflows. His background across biomedical science, molecular medicine, and research environments keeps the platform practical.
Josh leads the technical architecture, turning complex pipelines into reliable backend systems and fast product experiences.
Join the waitlist for early access, or open the public demo to try one curated protein session.