Colleague AI is an Educational Platform where our AI assistants act as knowledgeable colleagues for educators and friendly buddies for learners. We develop technologies to foster dynamic, personalized, and collaborative educational experiences for everyone in school or after school.
Our research and development has been funded by prestigious federal awards from the Institute of Educational Sciences of the U.S. Department of Education and National Science Foundation. We bring cutting-edge, specialized AI technologies to improve work efficiency and student learning outcomes.
Colleague AI is a spin-off from the AmplifyLearn.AI Center at the University of Washington. The company originated as a research project developing algorithms and models to identify high-quality math and science lesson materials, funded by the National Science Foundation. We spun off from the university in June 2024 while maintaining a close partnership for ongoing research and evaluation of our product features’ impact on teacher efficiency and student learning outcomes.
Colleague AI isn’t just another chatbot; we’re designed to make a real difference in education:
Please read Dr. Sun’s reflection on sustainable innovation in EdTech.
We prioritize student and educator safety by complying with FERPA, COPPA, GDPR, and SOC 2 standards. Our Privacy Policy describes how we collect, use, disclose, share, or process personally identifiable information.
Beyond basic compliance, our team of national leading researchers in GenAI brings unique expertise in ethical data science and responsible AI use. We embed best practices in our product development process and offer training materials on this topic to teachers, students, and school administrators.
We also sign data privacy agreements with schools and districts.
We’re not tied to any single foundational AI model. Instead, we serve as an integrator of various models into one coherent platform. We regularly track and evaluate model performance to identify the most effective options for specific tasks like lesson planning, grading, podcast generation, and image creation.
Unlike simple wrappers, we add another layer on top of foundational models to embed effective teaching and learning knowledge into our platform. We also develop our own algorithms and models for quality measures of lesson materials, nudging and gamification, and student engagement level assessment, leveraging our partnership with a National R&D center in GenAI at UW.
We actively work to address potential issues through multiple strategies:
You can refer to the comprehensive guide of Understanding Rubric Rating Scales on Rubric Generation Function.
The best way is to have an account on Colleague AI. We send information about new features through our weekly newsletter to current account users. You can also follow us on social media (LinkedIn, X, Facebook) for feature announcements.
You can email info@colleague.ai or use our website’s Book a Demo link.
We offer multiple support strategies:
We offer three levels of integration depending on your licensing level:
Level 1: Single Sign-On (SSO)
Level 2: Rostering Services
Level 3: Content and Data Integration via LTI
We also offer a free Web extension (Chrome and Edge) to support users integrating Colleague AI on most websites where they conduct their work.
See Dr. Sun’s comment on context-aware assistants.
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