Scientific Super Intelligence
From science tokens to ScienceRSI: a research agenda for models that reason directly across scientific modalities, recursively improve through verifiable evidence, and move toward Scientific Super Intelligence.
SCINETICS / RESEARCH
Starting with the life sciences, we develop science-native foundation models, autonomous scientific intelligence, and closed-loop experimentation.
From science tokens to ScienceRSI: a research agenda for models that reason directly across scientific modalities, recursively improve through verifiable evidence, and move toward Scientific Super Intelligence.
Connecting reasoning and generation for protein design through explicit structural states—from catalytic cores and active sites to complete sequences and all-atom structures.
Open research and systems that established the foundations for what we are building today.
Self-evolving AI Scientist
Intelligent operating system for autonomous laboratories
Protein pocket generation and design
Generative RNA foundation model
Agentic scientific discovery system
Multimodal learning for biomolecular systems
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