RESEARCH
& TECHNOLOGY
// 01_OVERVIEW
The technology that powers everything we build.
Minerva is our 'future of work' platform — a working proof of what agents, memory, and sovereign infrastructure look like when they come together. Alexandria is our context graph and agent memory system. Together they underpin how we approach our service offerings.
// 02_PROJECTS
// RESEARCH_PROJECT
Minerva
Our 'future of work' platform — built for biomedical researchers, but the ideas behind it apply everywhere. Minerva combines autonomous agents, persistent memory, and sovereign infrastructure into a single system where AI doesn't just answer questions but actively researches, collaborates, and learns. Replace 'scientist' with 'analyst', 'lawyer', 'underwriter', or 'engineer' and the architecture is the same: agents that understand your domain, remember what they've learned, and get better over time.
[ LEARN_MORE → ]
// RESEARCH_PROJECT
Alexandria
Our context graph and agent memory system. Alexandria is the technology behind the Institutional Context Graph offering — it stores the reasoning behind decisions, not just the decisions themselves. It powers retrieval that navigates knowledge like a researcher, consolidation that builds understanding over time, and memory that persists when people leave.
// 03_PUBLICATIONS
// BLOG_POST
Building a Reproducible Multimodal Pipeline
by Kevish Napal
Part-1 in a series of posts about proteomics, cancer biology, and AI-driven solutions for oncology.
// BLOG_POST
Understanding Cancer and Telomerase: From Biology to New Treatments
by Kevish Napal
Part-2 in a series of posts about proteomics, cancer biology, and AI-driven solutions for oncology.
// BLOG_POST
Understanding and Processing CT Imaging for Stroke Detection
by William Auroux
A practical guide to turning raw brain CT into training-ready data.
// BLOG_POST
The Dimension Dilemma: Why 2.5D Models Outperform 3D CNNs for Stroke Classification
by William Auroux
Lessons & Experiments on training deep learning models on 3D medical data.