Building decision intelligence for the world’s most complex systems
Umamimind is an enterprise platform that helps teams design, simulate, and execute high-stakes decision workflows using AI reasoning, agentic orchestration, and hybrid optimization—including quantum where it is justified. We prioritize operational realism: governance, cost control, and auditability are first-class, not add-ons.
In real operations, decisions are constrained, audited, and executed across multiple systems. Predictions alone do not produce outcomes. Umamimind focuses on the missing layer: converting intent into governed execution.
We combine three capabilities: (1) AI reasoning for planning and forecasting, (2) agentic systems to orchestrate workflows and tool use, and (3) optimization to navigate combinatorial complexity. Quantum is treated as a solver option within a hybrid backend, selected when it improves solution quality or time-to-decision under cost controls.
The platform is designed for regulated environments: RBAC, audit trails, deletion workflows, and two-person controls for sensitive actions are built into the product and surfaced to buyers early.
We collaborate with a limited set of design partners to validate workflows, data integrations, and ROI measurement. Partners receive white-glove onboarding and tailored simulations aligned to their constraints.