AI Transformation
- Discovery sprint with your educators, ending in a working prototype
- AI for personalized learning, feedback and educator workflows, with guardrails
- Automation for reporting and administration

Edtech companies call us when adoption drops and the product has to win back students and educators.
We built hellohive's resume builder, which students keep updating through college, and rebuilt Ibis's coaching tool with connections to the LMS platforms companies already use.
We design for the whole school year, not the demo, with engagement planned for the weeks after onboarding. Adoption holds after the novelty fades, and renewals follow.
WCAG and student data rules are part of the architecture, not a final check before launch. Districts approve faster, and the product is ready for every student.
We build AI features with educators in control and clear guardrails for students. Teachers save time on feedback and planning without giving up their judgment.
The same people stay on your product from pilot to district rollout, through every school year. They know your users, your calendar and your busiest weeks.
Yes. Guardrails get defined with your educators first, then a discovery sprint delivers an AI feature that supports teaching and keeps student data safe.
We build learning platforms, community products, educator tools and LMS integrations for edtech companies, through staffing, product development or AI Transformation.
Yes. We treat WCAG conformance as a design constraint from the first screen, because in education accessibility is a procurement and legal requirement.
Yes. We have connected learning tools to the LMS platforms our clients already use.
We build permissions around the age of the user and the obligations that come with it, and we follow your data policies in every environment.
Tell us who buys, who uses and who pays. We'll design for all three.