Our Commitment to Data Privacy and Trust 🔒
At Colleague AI, respecting user data privacy is our highest priority. Our platform does not access any cloud data, such as Google Drive or OneDrive, without explicit user permission. Every individual user, whether part of a district partnership or using Colleague AI independently, must actively authorize access before any integration is enabled. Users also retain full control to review and revoke permissions at any time through their Google account settings.
We are committed to transparency in how our systems work and to building trust with educators, schools, and districts. If questions ever arise, we encourage reaching out to our team directly so we can provide clear, accurate information: info@colleague.ai
We will continue to prioritize responsible AI design that supports educators while safeguarding their data.
Feature Highlight ✨
Access the Latest in Agentic AI with Colleague AI
Wondering how to access the latest in Agentic AI? Look no further. Colleague AI has integrated these advanced models directly into our AI Grading and Generate Interactive features. We've moved beyond simple prompting. You can now deploy autonomous AI Agents to handle your most complex and time-consuming workflows.
With our Generate Interactive (& report) and Agentic Batch AI Grading* features, you can:
✨ Analyze complex datasets using simple, conversational commands
✨ Process high-volume files with unmatched precision and speed
✨ Generate dynamic assets—from interactive worksheets and assessments to comprehensive dashboards—that do the heavy lifting for you
Experience the power of an AI that doesn't just respond, but acts. Use natural language to manage multi-step tasks and unlock deeper insights, all without needing any technical expertise.
*Agentic Grading (beta) is only available for enterprise use currently.
Our Community 📣
Colleague AI Is at the ASU+GSV Summit
Our Co-Founder and CEO, Dr. Min Sun, will join Charles Elliott from Google, Chris Clark from Salesforce, Jennifer Lee from GSV Ventures, and Kavitta Ghai from Nectir on stage to discuss the future of ambient AI in education.
📅 Monday, April 13
🕒 3:00 PM
We're excited to contribute a practitioner- and educator-centered perspective on how AI can meaningfully support teaching and learning in real classrooms.
You can also find us at GSV Demo Day on April 14, and visit us at Booth #68 to see Colleague AI in action.
If you'll be in San Diego, we'd love to connect. DM us to meet the team and continue the conversation.
Our Podcast 🎙️
Testing Times: Relieving the Pressure of Testing Season with AI
April 15, 2026
3:30–4:30 PM PT
Published via YouTube Live @ColleagueAI
In this episode of the podcast, we examine how artificial intelligence is changing the way teachers approach test preparation before state testing season.
Join Hayley Spohn from Federal Way Public Schools (WA) as she discusses how educators can leverage tools like Colleague AI to quickly identify common misconceptions, generate targeted review activities, and support multilingual learners during high-stakes testing periods. Drawing from classroom practice, the conversation also explores how teachers can integrate social-emotional supports and explicit test-taking strategies to help students approach assessments with confidence and clarity.
Grounded in real classroom experience, this episode highlights how AI can reduce teacher workload while helping students engage more deeply with the skills and thinking processes that matter most.
Our Research 🔬
The Colleague AI R&D Team Presented at AERA and NCME
The Colleague AI R&D team presented at several sessions at the American Educational Research Association Conference and at the National Council on Measurement in Education conference.
AERA
How teachers use generative AI tools
Alex Liu presented work exploring how teachers use generative AI tools. This session highlighted the fundamental research underpinning the development of Colleague AI's features.
AERA
Responsible AI use in K-12 learning
We were at a structured poster session with Colleague AI's academic partner, the University of Washington AmplifyGAIN Center. At this session, four federally funded AI R&D centers shared their work researching responsible AI use in K-12 learning.
NCME
LLM graders and human benchmark score alignment
Victor Tian presented research evaluating the alignment of LLM graders' scores with human benchmark scores.
Reimagining AI in education. Explore how our research and our platform meet at Colleague AI to provide full-cycle learning support.
