The Operating System for Autonomous Science
Infrastructure for autonomous
discovery
Agents design experiments, run them, and verify results. Continuously. In parallel. Without intervention.
Who We Are
What we build.
Scivity Labs builds research infrastructure designed for AI agents, not humans. One platform — from hypothesis to verified result.
The engine
How it works.
A research question enters. A validated conclusion leaves. Three stages, one loop.
Multi-Agent Swarm
Hypotheses generated, debated, and filtered before compute is spent.
Compute + Lab
Hundreds of experiments run in parallel — on GPU or physical instruments.
Six-Level Pipeline
Novelty, statistics, reproducibility. Only validated knowledge leaves the loop.
Waiting for research to begin…
Applications
Across domains.
Materials Science
Novel alloys, polymers, and compounds — compositional space explored faster than any team could manage.
Drug Discovery
Closed-loop lead optimization that compresses target-to-candidate timelines by an order of magnitude.
Contract Research
CROs scale without proportional headcount, billing per autonomous study.
Chemistry
Reactions, pathways, and catalysts — simulation and bench unified under one autonomous planner.
Energy & Batteries
Battery chemistries, solar absorbers, storage materials — parameter sweeps that used to take years, now done overnight.
Biology
Proteins, microbes, and genomes — experimental design and execution with full, reproducible provenance.
Who builds it
Built by a scientist.
Vahe Galstyan
Founder & CEO
Nuclear engineer. Built ALP end-to-end. Based in Yerevan, building for the global market.
Get involved
The next breakthrough
begins here.
If autonomous scientific discovery is the most important infrastructure project of this decade, we want to talk.