Boltz AI™ Reasoning Engine helps you discover optimal decisions and equilibrium behavior in complex, multi-agent environments.
Traditional models are designed to optimize a single decision at a time, often under fixed conditions and with a narrow focus on one metric. In contrast, most real-world systems involve multiple objectives and KPIs, several interacting agents, and complex trade-offs and constraints.
The Boltz Reasoning Engine uses generative AI to simulate optimal decisions in complex, multi-objective environments, including settings where multiple agents interact, coordinate, or compete.
From competitive markets to multi-functional workflows, the engine offers a principled way to discover emergent behavior, optimal decisions, and collaborative strategies, all without building rule-based logic or custom models.
Boltz AI™ enables full-funnel optimization of marketing strategies and tactics, balancing performance trade-offs from brand awareness to conversion.
Optimize joint supply strategies between partners and simulate cascading effects of disruptions, demand shifts, or incentive structures across the value chain.
Support strategic business decisions by optimizing trade-offs, constraints, long-term outcomes, and cross-functional resource allocation.
Model the full customer journey across channels and stages to develop strategies that improve experience, reduce churn, and increase lifetime value.
Train Boltz to coordinate self-directed LLM agents in multi-stage workflows, ensuring consistency and shared objectives.
Determine optimal offering strategies based on customer context and product attributes, optimizing personalization, bundling, and positioning.