Autonomous Laboratory Platform
Where AI
Meets the Lab
Give it a research objective in plain English. It designs experiments, runs them on GPU or lab equipment, verifies results, and iterates until validated conclusions emerge.
The Shift
AI-driven autonomous science is now proven — published in Nature, March 2026. But software-only systems fail 42% of the time. We add what's missing: physical execution and verification that make autonomous research reliable.
Who We Are
The Full Stack for
Autonomous Science
Scivity Labs builds the Autonomous Laboratory Platform (ALP) — an AI system that functions as an autonomous scientist. It generates hypotheses, designs experiments, executes them on GPU compute or physical lab equipment, and verifies results through a multi-level verification pipeline.
No manual intervention required. Currently in active use for scientific research. arXiv paper in preparation.
The only AI-native, software-first, capital-light platform covering the full autonomous science stack — from reasoning to physical execution to verification.
Timing
Why Now
Autonomous science was validated as a real category in 2026. Billions in capital flowing in. The missing layer: infrastructure that connects AI reasoning to real experiments.
Category Validated
Autonomous AI research published in Nature. Billions invested in autonomous science startups globally. This is no longer hypothetical — it's a proven, rapidly growing category.
Execution Gap
Current AI scientists are software-only — they write papers but can't run real experiments. The missing layer: physical infrastructure and verification that makes results trustworthy.
Platform Moment
LLMs can reason about science. GPU compute is accessible. Lab automation hardware exists. What's needed is the orchestration layer that connects them into one autonomous pipeline.
The Platform
Five-Layer Architecture
A unified runtime covering the full autonomous science stack — from AI reasoning to physical execution to verified results.
Chemistry, materials science, biology, energy — one platform, any domain.
How It Works
From Objective to Discovery
Define the Objective
Describe your research goal in plain English. The system autonomously generates hypotheses, identifies optimal experimental parameters, and creates an execution plan.
Autonomous Execution
ALP runs experiments on GPU compute or physical lab equipment. It manages resources, monitors progress, and handles failures — running hundreds of experiments in parallel.
Verify & Iterate
Results pass through a multi-level verification pipeline — novelty checks, statistical validation, reproducibility testing. The system iterates until validated conclusions emerge.
Applications
Where ALP Accelerates Discovery
Materials Science
Autonomous exploration of material compositions and properties. Novel alloys, polymers, and compounds — faster than traditional methods.
Drug Discovery
Accelerate lead optimization and screening. Autonomous experimental loops reduce time from target identification to candidate validation.
Contract Research
CROs scale research capacity without proportional headcount. Autonomous experimentation enables new service tiers at higher margins.
Chemistry
Optimize reaction conditions, explore synthetic pathways, discover novel catalysts — integrating both simulation and physical experimentation.
Energy & Batteries
Battery materials, solar cell optimization, and energy storage research accelerated through autonomous parameter sweeps.
Biology
Protein engineering, microbiology, genomics — autonomous experimental design and execution with full reproducibility tracking.
Leadership
Built by a Scientist
Vahe Galstyan
Founder & CEO
Nuclear engineer building the Autonomous Laboratory Platform. Architected and built ALP end-to-end, currently using it for active research. Based in Yerevan, targeting global biotech and materials science markets.
Questions
Frequently Asked
Scivity Labs builds an Autonomous Laboratory Platform (ALP) — an AI system that designs, executes, and analyzes scientific experiments end-to-end. From hypothesis generation through experimental execution to reproducible, verified results. No manual intervention required.
Reach out through our Contact section or schedule an introductory call. We'll discuss your research workflow and how autonomous experimentation can accelerate your R&D pipeline.
Unlike traditional lab automation or software-only AI scientists, our platform covers the full stack — AI reasoning, compute execution, physical lab execution, and a multi-level verification pipeline. We are the only AI-native, software-first, capital-light platform that can both think and act in the physical world.
We offer tailored engagements based on the scope of integration. Contact us to discuss your specific use case and requirements.
ALP is domain-agnostic by design. Target markets include U.S. biotech, materials science, chemistry, energy research, and contract research organizations (CROs). The platform scales to new scientific domains through its modular architecture.
We work closely with research teams to integrate autonomous experimentation into existing workflows — starting with computational experiments on GPU, then expanding to physical lab instruments and cloud lab APIs.
Let's Talk
Get in Touch
Have a question, want a demo, or ready to accelerate your research?