MINERVA
RESEARCH PLATFORM
// 01_WHAT
AI agents you work with, not wait for.
Minerva is a platform for invoking and interacting with AI agents in scientific research. Built on our experience in bibliometrics, genomics, and cancer research, it lets researchers use agents to explore datasets, test hypotheses, and accelerate discovery.
// 02_WHY
Science needs intuition, not autopilot.
DeepMind's co-scientist and similar systems work by churning away attempting to automate scientific thinking. Our perspective is that meaningful scientific advances require human researcher intuition, hypothesis refinement, and course correction throughout the process—not just at the end.
Minerva takes a different approach. Instead of autonomous agents that disappear for hours, researchers invoke and interact with agents step-by-step while using AI to handle complex research workflows.
// 03_CAPABILITIES
What researchers can do with Minerva.
Navigate the research landscape and identify promising directions
Test hypotheses by simulating protein behaviour with AlphaFold
Spin up compute to train models for specific data types—like re-interpreting GWAS data with epistasis transformers or hybrid GNN architectures
Run parallel AI conversations that branch and merge while maintaining context awareness across the workbench
Collaborate with teams, sharing workflows and datasets
// 04_STATUS
Early prototypes running. Expanding fast.
We're building Minerva for biotech, pharma, academic, and federal health organisations. We have early prototypes running and are actively expanding capabilities.
