Viakrama is designing an orchestrated multi-agent AI system to compress the diagnostic odyssey for rare disease patients — from years to hours. We are currently in architecture and pre-regulatory development.
A clinical geneticist reviewing a rare case must simultaneously hold 47 phenotypic features, interpret a VCF file with millions of variants, and cross-reference against a literature base growing by thousands of papers monthly.
The bottleneck is not intelligence — it is cognitive bandwidth at scale. No single clinician can perform phenotype-to-genotype matching across the full search space fast enough.
Viakrama is architecting an agentic reasoning layer to fill that gap. We are building — not deployed.
The Viakrama architecture centres on a shared structured case file that each agent reads and writes to. No agent has a global view — each is specialised. The orchestrator coordinates sequencing, handles failures, and maintains audit state.
Every inference is cited. Every agent decision is logged. Designed from the ground up for clinical auditability — a requirement, not an afterthought.
We are onboarding clinical genetics units and research institutions as design partners — not as users. We want to build the right thing with the right people.
The platform is not yet available. No clinical data will be collected at this stage.
For design partnership or research collaboration enquiries only.