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Education Technology · Profile from Education Technology Research Companion

Squirrel AI Learning (Shanghai Yixue Education Technology / Yixue Group)

China's most visible "AI tutor" company. Founded in Shanghai in 2014, it broke school subjects into thousands of fine-grained knowledge points, used an adaptive engine to diagnose and fill each student's gaps, scaled through ~2,000 franchise learning centres, survived the 2021 tutoring ban by moving into learning tablets, and is now marketing a "Large Adaptive Model" ahead of a reported Hong Kong IPO.

At a glance

Founded
2014, Shanghai, China
Founders
Derek Haoyang Li (Li Haoyang), founder and chairman; co-founders including Joleen Liang and Wei Cui (chief scientist) (verify roles)
Headquarters
Shanghai, China; North American entity licensing the technology (reported)
Ownership / structure
Private, venture-backed; operating company Shanghai Yixue Education Technology ("Yixue Group"); consumer brand 松鼠Ai / Squirrel AI; Hong Kong IPO preparation reported in 2026 (verify)
Leadership (2026)
Derek Haoyang Li, chairman; Joleen Liang, co-founder and senior executive (verify titles)
Segment and buyer
K-12 after-school learning; buyers are Chinese parents (centres, then devices); also schools and international partners
Scale
~2,000 franchise centres in ~200 cities (2019, company claim); company claims 40m+ cumulative students and use in 60,000 schools (unverified); cumulative device shipments ~200,000+ (brand-sourced, unverified); revenue not disclosed
Capital raised / valuation / market cap
Total funding reported between ~$128m (CB Insights) and ~$340m (Caplight); ~RMB 1bn (~$145–150m) round in 2018 at a reported $1bn+ valuation; pre-IPO valuation reportedly targeted at ≥ RMB 12bn (~$1.7bn) in 2026 (verify)
Signature moves (including notable failures)
Nano knowledge-point adaptive engine (2014); franchise centre rollout (2016–19); AI-vs-teacher contests (2017); ~RMB 1bn round (2018); global showcase and critical MIT Technology Review profile (2019); forced pivot to learning devices after double reduction (2021); Large Adaptive Model (2023–24); Hong Kong IPO preparation (2026, verify)

8 strategic moves analysed

Each one gets a full strategy file in the companion: context, the decision, the financing, what happened, and the lesson.

  1. 2014

    Founding Adaptive Learning Knowledge Graph

    Launch

  2. 2016

    Franchise Learning Centre Rollout

    Launch (distribution model)

  3. 2017

    Human vs AI Teacher Competitions

    Launch (marketing and evidence campaign)

  4. 2018

    RMB 1bn Round Unicorn

    Funding round

  5. 2019

    Global AI Education Showcase

    Partnership (research, conferences and international positioning)

  6. 2021

    Double Reduction Pivot to Learning Devices

    Pivot

  7. 2023

    Large Adaptive Model Launch

    AI launch

  8. 2026

    Hong Kong IPO Preparation

    IPO (preparation)