Silico is your
interpretability agent
Explain, debug, and precisely control model behavior.
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Frontier interpretability for your team.
State-of-the-art interpretability methods
Skills and libraries for auto-interp, training probes and SAEs, model diffing, causal analysis, data attribution, neural geometry, activation verbalizers, and many more.
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.
Orchestration at frontier scale
Silico coordinates experiments across nodes, monitors every run and works on models of any size.
Use cases
Explain how your model works
Use interpretability tools to design and test hypotheses about what your model has learned and what features are driving predictions.
Debug model behavior
Trace regressions and unexpected behaviors to undertraining, information bottlenecks, feature collapse, spurious correlations, or dataset artifacts.
Precisely guardrail your agents
Deploy a multi-staged guardrail system to prevent unsafe agent behavior, including cybersecurity and CBRN risks, at training and inference time.
Replicate and extend research
Replicate interpretability and alignment research on your own model or dataset.
What our partners are saying
“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.