AI-native 的商业战略仿真与决策训练系统。
基于LLM 智能体仿真模拟和经济学结构模型的决策推演 — 轻量、可解释、因果链完整。
An AI-native decision simulation and training system powered by LLM agent-based modeling and structural economic engines — lightweight, interpretable, with full causal traceability.
Learn more →独立于 LLM 的因果推演系统。把关键变量、约束和 trade-offs 显式化,形成可计算的决策空间。
每个行业场景的参数经真实数据调校,在真实教学场景中迭代。轻量级建模,快速平移。
结构化记录用户的假设、尝试、偏差与结果。6 个月后,系统比用户自己更了解其战略判断模式。
Choose market segment, architecture, and craft value proposition with AI coaching.
Interview AI personas to uncover real user needs. Evidence updates Bayesian priors.
Select R&D capability cards under budget constraints. Every card shifts cost, risk, and product strength.
Set price against a calibrated demand curve. The engine computes profit and market share.
For early access, pilot inquiries, or demos:
contact@praxisengine.xyz