Learn from evidence
Define clear questions, compare methods, and let results change the next decision.
About Deep SIML Labs
Research that learns as it builds.
We develop simulation and optimization methods, and we’re working on physical implementations and new materials.
Our mission
Make scientific discovery a cumulative process.
Deep SIML Labs is a research company investigating recursive systems for scientific discovery. We develop SIML alongside work in simulation, optimization, physical implementations, and new materials.
Our aim is to connect models with experiments so each result improves the next question, design, and measurement. The value grows through the knowledge those cycles produce.
Principles
How we work.
Build for the physical world
Bring fabrication, measurement, and system constraints into the research process.
Make knowledge reusable
Keep models, experimental history, and analysis connected so progress compounds across projects.
Foundations
A continuing exploration of recursion.
The SIML Codex is a philosophical foundation of the work with AI networks, developed with the original Operator during 2024–2025. It remains part of the context for our research into recursive systems.
Read the SIML CodexCollaborate
Build the next cycle with us.
We welcome collaborators working across scientific modeling, physical systems, and materials.