Real outcomes, realistic constraints
Enterprise-safe scenarios demonstrating agentic planning, policy enforcement, and optimization in production-grade workflows.
Scenario planning that is constraint-aware, auditable, and fast enough for real disruption response.
A governed optimization loop that reallocates inventory across nodes while respecting lead times, capacity, and policy.
Decision automation that respects risk, liquidity, and policy, with provable audit trails.
Reduce analyst load by generating structured cases, policy‑checked actions, and complete evidence trails.
A pragmatic way to compare trial designs and resource allocations under uncertainty.
Agentic evidence assembly for deviation investigations while respecting regulated workflows and data controls.
Explainable, constraint-aware planning that operators can trust.
Turn maintenance signals into safe, prioritized actions without disrupting throughput and quality.
Coordinate logistics, shelters, and distribution with policy-aware autonomy during high-pressure incidents.
Coordinate instruments, compute, budgets, and safety approvals with governed autonomy.
Across verticals, the execution loop is consistent: signals → plans → constraints → ranking → approval → execution.
Operational data and events create decision triggers.
Propose bounded actions with assumptions and rationale.
Policy and invariants filter unsafe actions.
Rank feasible plans across trade-offs.
Humans retain control where needed.
Idempotent tool calls plus audit logging.