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Good practice Imported

Yeti Confetti for Refugees — AI Learning Companion for Syrian Refugee Children in Lebanon

Lebanon · Beirut · See the Lebanon profile

An AI-animated tutor teaches English, maths and social-emotional skills to out-of-school Syrian refugee children in Lebanon in their own language and pace; the 2024 MIT Solve-recognised refugee pilot has so far reached only 15 children.

15 children
Children tested in Lebanon refugee pilot (as of 2024)
1.3 million children
Estimated Syrian refugee children at risk of dropping out (Lebanon, context figure) (context figure)
~15,000 children
Children reached by the general consumer app (not Lebanon-specific) (2024)
~160,000 lesson-minutes
Lesson-minutes delivered by the general consumer app (2024)
5.3 USD millions
Funding raised by Lirvana Labs (2024)
Yeti Confetti for Refugees — AI Learning Companion for Syrian Refugee Children in Lebanon

Details

Maturity
Pilot
Promoter
Lirvana Labs
Period
2024–ongoing (small-scale pilot)
Keywords
edtech startup, refugee education, nonprofit partnership

Context

Yeti Confetti for Refugees adapts Lirvana Labs' consumer app 'Yeti Confetti Kids' — an AI-driven animated tutor teaching English, mathematics, and social-emotional skills — for out-of-school Syrian refugee children in Lebanon, where an estimated 1.3 million Syrian refugee children are at risk of dropping out of school.

Activities

The design lets children learn at their own pace and in their home language without requiring regular school attendance, and the initiative was named a Solver of MIT Solve's 2024 Global Learning Challenge.

Results

At the time of that 2024 recognition, the refugee-specific deployment in Lebanon had been tested with only 15 children — a very small pilot. The broader consumer product has reported reaching about 15,000 children for roughly 160,000 lesson-minutes, and Lirvana Labs raised $5.3 million in 2024, but these figures describe the general app, not the Lebanon refugee pilot specifically, and should not be conflated with it.

Conclusions

No source discloses a data-protection or child-safeguarding framework specific to the refugee deployment, and no post-2024 scale-up figures for Lebanon were located, making this a promising but still thin-evidence, small-scale case.

Implementation
Indicative cost
Low (< €50k) — Not disclosed for the Lebanon-specific deployment; parent company Lirvana Labs raised $5.3 million in 2024 for its broader consumer product.
Time to results
Short (< 1 year) — Recognised as an MIT Solve 2024 Global Learning Challenge Solver; refugee-specific deployment tested with 15 children as of that point; no later updates found.
Staffing & skills
Developed and operated by Lirvana Labs, Named a Solver of MIT Solve's 2024 Global Learning Challenge, indicating incubator/accelerator support

Conditions for success

  • Designed for out-of-school children, not requiring regular school attendance
  • Supports home-language learning at the child's own pace

Common failure modes

  • Only tested with 15 children in the refugee-specific deployment as of the 2024 recognition — very small pilot
  • No disclosed data-protection or child-safeguarding framework specific to the refugee deployment
  • No post-2024 scale-up figures located

Where it fits

Governance type
private edtech startup, nonprofit/incubator-supported (MIT Solve)
Scale
very small pilot (15 children) within a much larger at-risk population (1.3 million)
Income level
low/middle-income refugee context (Lebanon)

Commonly funded by

Philanthropic / foundation funding

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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