Playlab is democratizing AI in education with a global community of educators.
AI is not magic. It's built by humans and can be guided by humans. It has vast potential and also real risk.
Educators and students use Playlab to build their understanding of AI through hands on experiences with others.
Along the way, they develop as critical consumers and build impactful tools based on their unique expertise.
Innovative schools, nonprofits, and educators use Playlab to combine AI with rigorous curriculum, the best OER content, and their own frameworks to advance evidence-based tools both in and outside the classroom.
Our community has created over 18,000 educational AI tools and experiences. You can adapt existing tools or design and test your new idea using plain language.
Advanced features like learner memory and evaluation (coming soon) gives you control over how your tool adapts to your users over time and creates learnings from those interactions.
Remix existing apps from our community and adapt it to fit your context.
Schools, universities, and nonprofits use Playlab to safely create, adapt, and use AI across their organizations. This includes safe access to AI models from OpenAI, Anthropic, and the open source community; insights & usage data; enterprise-grade security that has been vetted by leading districts (including New York City); and access to 18,000 AI apps that you can easily adapt to your context.
At a school? Talk to us about the Playlab for Impact program.
As a nonprofit, we aren't beholden to short term incentives for rapid growth and scale. The hard problems in education around safety, efficacy, transparency, and bias are all areas we're investing in solving.
Your work guides our work, and just how like tools on Playlab can be remixed and adapted, we're committed to open sourcing both the research and technology we develop so others can build on what we create.
When you build, share, and use tools on Playlab, you contribute to impact research to identify what uses of AI in education and in what contexts actually improves teaching and learning.
Our thesis is that this in turn can contribute to creating fundamentally better educational AI models, including models small enough to be downloaded and used on your own device privately, securely, and as much as you (or anyone in the world) want for free.