Jungle Biotech

You shouldn't have to wait until it hurts.

We map how diseases work and how drugs fail — into logic you can see, trace, and verify.

The gap

Machines get rigorous logic. Your body gets expensive guesswork.

A jet engine is stress-tested thousands of times before it flies. Every bolt has a failure probability. Every path from cause to catastrophe is mapped, measured, and reviewed.

A new drug? Pick a target based on partial evidence. Run trials for a decade. Pray.

Nuclear reactors re-run the entire risk model when a single pipe changes. In drug development, nobody checks the underlying logic at all — until a Phase III failure burns $500 million and five years.

90%
of drugs fail in trials
$2.6B
per approved drug
10+ yr
discovery to approval
HOW ENGINEERS THINK System Sub-system A Sub-system B Sub-system C .91 .47 .73 .82 .65 .38 .56 .89 .36 source traced auditable every number has a reason HOW DRUGS GET APPROVED ? ? ? ? no structure · no audit · no logic
The real question

"Can't AI already solve this?"

AI finds patterns. But patterns aren't explanations. And nobody can audit a model with 5 million edges.

TYPICAL "CAUSAL AI" 22,000 nodes · 5M edges who audits this?
vs
VRM OUTPUT Disease Risk Pathway A Pathway B Pathway C .82 .41 .67 .93 .28 .55 .71 .89 .36 KEGG CTD PMID every node traceable every number has a source

AI finds that A correlates with B. VRM shows why A causes B, through which pathway, with what probability — and what breaks if you intervene.

Ready to see the solution?

How VRM works →