We built Wild Zebra around a simple expectation for learning at home and at school:
Keep learning relevant so students stay engaged
Keep challenge level-appropriate so effort stays productive
Teach the process so progress is earned through understanding
Make progress visible so parents and educators can act on what they see
Families are surrounded by learning tools, but two problems keep showing up.
Students lose momentum when practice feels generic, repetitive, or poorly calibrated. Parents lose confidence when they can see activity but cannot tell what is improving or what should happen next.
Wild Zebra was built to solve both by combining interest-based practice, real-time adaptation, and clear progress visibility in one system.
Wild Zebra is designed to make progress easy to interpret.
Parents can see where their student is in the learning pathway and review session history when needed. The goal is to provide clear signals about what is strengthening, what is still inconsistent, and what the next focus should be.
Wild Zebra uses AI to personalize pacing and guidance while reinforcing reasoning and explanation. The tutor prompts students to work through questions step by step so learning is built on understanding, not answer-getting.
We're a passionate team of educators, researchers, and technologists united by one mission: making high-quality, personalized education accessible to every student through AI.

Edan Shahar
Co-Founder & CEO

Erik Selberg
Co-Founder & CTO

Jeremy Baer
Principal Engineer

Mavis Hu
Product Designer

Annie Yao
Product Experience

Marko Raska
Developer

Michelle Delgado-Alvarez
Developer

Nathan Liscom
Account Manager

Tully Moore
Director of Marketing
Wild Zebra is used by families at home and by schools as a structured practice layer that supports consistent skill building. If you are evaluating Wild Zebra for your school, visit the For Schools page for implementation and educator visibility details.
