Silico is your platform for ambitious AI research
Run long-horizon, asynchronous experiments on frontier infrastructure and compute.
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Research more. Engineer less.
Your agent for long-running experiments
Give Silico a research goal. It develops an experimental plan, runs the work in parallel, monitors progress, and returns results you can inspect and build on.
State-of-the-art training and interpretability libraries
Built on Goodfire’s interpretability research. Silico remembers your context, coordinates agents, and equips them with reusable skills and libraries.
Compute orchestration for frontier research
Stop babysitting jobs. Silico coordinates experiments across fabrics, monitors every run, and keeps long-running work moving without constant supervision.
Use cases
Explore how your model works
Visualize model architecture, train SAEs and probes, map neural geometry, and test causal hypotheses about what your model has learned.
Diagnose model failures
Trace regressions and unexpected behavior to undertraining, information bottlenecks, feature collapse, spurious correlations, or dataset artifacts.
Train and improve your model
Run SFT, DPO, and RL experiments, compare checkpoints, test targeted interventions, and measure what changed.
Replicate and extend research
Give Silico a paper to reproduce or modify. It plans and runs the experiments, then compares the results with the original.
Researchers on Silico
“Silico has been the most useful agent I’ve used for autonomous AI research. Combined with Prime Intellect’s RL infrastructure, it helped me design, run, and autonomously iterate on RL environments and post-training experiments to improve the benchmark I cared about.”
Vincent Weisser
ceo, prime intellect
"Silico gives Valinor a fast, rigorous way to understand what our models have actually learned. It surfaces the biology behind the model’s predictions and turns those findings into clear recovery and literature-comparison reports. That evidence tells us whether a model has learned the biology we care about, and accelerates the loop between interpretability and model improvements."
JOSHUA PACINI
CEO, VALINOR
“Silico gives Basecamp Research mechanistic visibility into how EDEN reasons over evolutionary data, helping our team uncover additional capabilities in therapeutic design and clinical prediction. Beyond that, we love the collaboration with the Goodfire team."
PHIL LORENZ
CTO, BASECAMP RESEARCH
Run experiments across models and modalities
Learn more about how Siilco can help you understand, debug, and intentionally design your foundation model
Start researching with Silico
Download Silico for macOS, or talk with us about bringing it to your team and infrastructure.