LabGenius
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
Accelerating drug discovery through automated, robotics-driven data generation and AI-integrated laboratories.
Arctoris is a leading technology-enabled drug discovery company that bridges the gap between digital AI models and physical biological experimentation. Its core platform, Ulysses, is an advanced robotic laboratory ecosystem designed to generate high-quality, reproducible, and machine-learnable data at scale. By 2026, Arctoris has solidified its position as the 'physical layer' for AI-first biotech firms, providing the ground-truth data necessary to train and validate generative chemistry and protein folding models. The platform automates complex biochemical, cell-based, and molecular biology assays, capturing thousands of data points with full metadata and environmental telemetry. This closed-loop approach allows researchers to transition from hypothesis to validated data in a fraction of the time required by traditional Contract Research Organizations (CROs). The Arctoris architecture is designed for deep integration, allowing AI agents to autonomously design experiments, trigger robotic execution, and ingest results for real-time model refinement. This makes it an essential infrastructure for the next generation of precision medicine and rapid therapeutic development.
A fully integrated, vendor-agnostic robotic suite that automates liquid handling, incubation, and detection across diverse assay types.
Accelerating protein-based drug discovery through an autonomous, closed-loop robotic platform.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
Engineering biology at scale to discover and develop next-generation therapeutics.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Enables direct communication between AI models and laboratory hardware for autonomous 'design-make-test-analyze' cycles.
Captures ambient conditions, machine logs, and timestamped process data for every single plate well.
Protocols are stored as code, allowing for rapid transfer and scaling across different geographic laboratory hubs.
Automated serial dilutions and multi-point kinetic monitoring for highly accurate EC50/IC50 determination.
End-to-end encrypted data storage with granular access controls for sensitive intellectual property.
All data is delivered in TidyData formats with pre-linked metadata and ontology tagging.
AI-generated hits from virtual screening often fail when tested in vitro due to poor data quality or slow turnaround.
Registry Updated:2/7/2026
Structural Activity Relationship (SAR) analysis is slowed by manual chemistry and biology cycles.
Late-stage drug failure due to unforeseen toxicity profiles.