Deterministic
Replay any run, bit-for-bit
Seeded RNG, immutable trajectory logs, and signed run manifests. Reproducibility as a contract, not a hope.
BitQubic builds the substrate for federated learning, carbon-aware orchestration, and large-scale agentic simulation, deployed inside regulated institutions that cannot move their data and cannot pause their compute.
Each product is independently usable. Together they form a coherent platform for institutions running intelligence across jurisdictions, hardware fleets, and regulatory boundaries.
Run 10⁴–10⁶ agent populations against stochastic environments. Deterministic replay, counterfactual branches, causal attribution.
Secure aggregation, differential privacy budgets, and async tolerance for sites that go offline. Cross-silo and cross-device, one API.
Kubernetes-native scheduler that reads marginal grid intensity and reshapes workloads in flight. SLA preserved, emissions priced.
Every regulatory body, central bank, and frontier research team we work with has the same question: what happens when this policy, this drug, this market mechanism, or this deployment strategy meets the real world? We help them ask it safely — a million times — before it goes live.
Seeded RNG, immutable trajectory logs, and signed run manifests. Reproducibility as a contract, not a hope.
Fork a running simulation at t=k, mutate one variable, and rejoin the comparison surface. Causal attribution built in.
Shapley-style decomposition over agent interactions. Ship decisions with an audit trail regulators will accept.