The Challenge

“Early intervention is a race against time, the fleeting gift”

  • Each child is unique - this behavioral heterogeneity makes it challenging to design the 'right' Individualized Education Plan (IEP).

  • Without the 'right' IEPs, especially in the early years (ages 2 to 7), children may not develop to their full potential in social, communication, and cognitive skills.

  • Therapists rely on their limited experience to design IEPs, and the effect of their IEP on the child is seen only after months of training.

Can we find an efficient and scalable solution to find the best possible personalized IEP at the earliest?

Our Solution

“Achieving Personalization is a data, modelling and recommendation problem!”

With sufficient data about interventions and assessments, data-driven solutions can be developed for Individualized Education Plans (IEP) personalization (similar to such solutions in, e.g. search engines and movie streaming apps).

  • We have developed novel Artificial Intelligence (AI) models and a software tool to recommend personalized IEPs for children and support ABA-VB therapists during IEP development

  • Our scalable AI model is designed to learn from IEPs of other children and the child's own previous assessments, to find optimal interventions and make the best use of the critical developmental window

  • Our AI-based personalization can be extended seamlessly beyond Early Intervention, benefitting children at all stages and across various programs, including Socialization and School Readiness programs