Squirrel AI | 松鼠AI

Squirrel AI's core capabilities are the "Adaptive Education Large Model" and "MCM System" (Mode of thinking, Capability, Method).

• Adaptive Learning: Uses knowledge graphs and algorithms to pinpoint students' knowledge gaps ("fix what you don't know").
• Focus & Emotion Detection: While marketing claims "capturing emotional changes" and "judging concentration," the technical implementation relies on Camera Feed Analysis (multi-modal behavior analysis) and Answering Data. There is no public evidence of EEG (brainwave) usage (often confused with BrainCo).
• Hardware Carrier: The core product is the AI Smart Learning Machine, not scientific measurement equipment.

松鼠AI的核心能力是“智适应教育大模型”和“MCM系统”（思维模式、能力、方法）。

• 智适应学习 (Adaptive Learning): 通过知识图谱和算法，精准定位学生的知识漏洞（“哪里不会补哪里”）。
• 专注度与情绪检测: 虽有营销宣传“捕捉情绪变化”和“判断专注度”，但技术实现主要依赖摄像头画面分析（多模态行为分析）和答题数据，目前无公开证据表明其使用了脑电波（EEG）技术（容易与BrainCo混淆）。
• 硬件载体: 核心产品是AI智能学习机，而非科研级测量设备。

Squirrel AI positions itself as an "AI Super Teacher."

• Goal: Directly promises "Score Improvement" (Precision remediation for better grades).
• Business Loop: Sells "Efficient Learning" anxiety solutions to parents via an OMO model ("Online AI + Offline Study Rooms"). This is diametrically opposed to Noldus's "Basic Research" tools for universities.

松鼠AI的市场定位是“AI超级老师”。

• 目标: 直接承诺“提分”（精准补漏成绩好）。
• 商业闭环: 通过“线上AI+线下智习室”的OMO模式，向家长兜售“高效学习”的焦虑解决方案。这与Noldus面向高校的“基础科研”工具完全背道而驰。