Deterministic
Replay any run, bit-for-bit
Every run is reproducible: same starting state, same result, down to each agent's decisions. Logs are signed and tamper-evident.
BitQubic helps regulated organizations train AI on data that cannot leave their walls, simulate real-world scenarios before deciding, and run compute during the cleanest hours on the power grid.
Each product works on its own. Together they form a single platform for organizations that run AI across different regions, hardware, and regulatory environments.
Run up to a million simulated agents in a virtual world. Replay any run exactly, branch on any decision, and trace every outcome back to its cause.
Train one model across many organizations without raw data ever leaving any site. Privacy safeguards built in, and resilient when sites go offline.
A scheduler for Kubernetes clusters that reads live electricity-grid carbon data and shifts jobs to cleaner hours. Service commitments preserved; emissions measured per run.
Regulators, banks, and research teams all share one question: what happens when this policy, drug, or strategy meets the real world? We help them ask it safely, thousands of times over, before anyone commits.
Every run is reproducible: same starting state, same result, down to each agent's decisions. Logs are signed and tamper-evident.
Pause a simulation at any point, change a single input, and keep both versions running side by side. Compare them to see exactly what that change caused.
Break any outcome down into the contributions of individual agents and their interactions. Ship decisions with an audit trail a regulator will accept.