Building the infrastructure to support better learning outcomes

Together with educators and students, with learning science as our blueprint.

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Teach

Use backward design to transform your instructional materials into engaging, objective-aligned learning experiences.

Assess

Provide adaptive feedback and personalized AI tutoring.

Question 1 of 2try it: pick an answer
In the example above, what property makes the DNA sequence similar to how text is stored in Python?
Please choose 1 correct answer(s).
⊗Incorrect
Not quite. Focus on how the sequence is represented and why order matters.
Improve

Identify learning friction to continuously improve instruction.

↻ Clear Conversation
How can we support Megan's exercise engagement?
11:44 AM
Based on the current analytics, Megan Allen is the only student enrolled and is identified as "struggling":
•Exercise completion average: 0.0%
•Lesson completion average: 5.26% (in progress on the one available lesson)
•Summative assessment score: 88.5%
Recommendations
•Direct Outreach: Contact Megan to understand if there are barriers preventing her from starting exercises.
•Clarify the Purpose: Emphasize that exercises reinforce learning, not just summative assessments.
•Offer Guidance: Suggest she begins with a small, manageable exercise.
11:44 AM
try it:

Create Collaborative Environments

Organize students into teams, give them a dedicated space to collaborate, and assess both individual and team performance.

An instructor and three students talking around a desk

Leverage the Library

Explore curated projects and cases from a world-class community of educators, adapt them for your own teaching, or contribute your own to help others.

Trusted by 20+ Innovative Institutions

Trusted by 20+ Innovative Institutions

Trusted by 20+ Innovative Institutions

Harvard UniversityAriel UniversityCornell UniversityUniversity of HaifaNortheastern UniversityThe College of Management Academic StudiesThe London School of Economics and Political ScienceWorcester Polytechnic InstituteBeit Berl CollegeMorehouse CollegeJerusalem College of TechnologyUniversity of Maine at AugustaInter-University Computation CenterAssumption UniversityThe Academic College of Tel Aviv-Yaffo

We partner closely with educators, instructional designers, academic leaders, and researchers to shape the future of teaching and learning.

Built on evidence-based pedagogy to:

Case study

A 62% increase in learning gains at Harvard

A 62% increase in learning gains at Harvard

A 62% increase in learning gains at Harvard

In a Spring 2026 introductory physics course of about 80 students, mean normalized gain rose from 0.26 to 0.42 after the course adopted Collage — with the same instructor, course structure and assessment instrument across both years.

In a Spring 2026 introductory physics course of about 80 students, mean normalized gain rose from 0.26 to 0.42 after the course adopted Collage — with the same instructor, course structure and assessment instrument across both years.

62%

62%

increase in mean normalized learning gain, year over year

94%

94%

of students found Collage helpful for their learning

The Collage AI Scaffolded Education Platform has been shortlisted for Learning Design Excellence at the 2026 QS Reimagine Education Awards, chosen from more than 2,200 projects worldwide.

Winners announced in December.

QS Reimagine Education Awards 2026 shortlist badge for Learning Design Excellence

Built-In Trust

Access is enforced at every layer of the system, from application code to individual columns in the database. Every agent operates within the exact permission boundary of the user it supports.

Access the trust center

HECVAT

Higher ed vendor assessment toolkit

VPAT

Accessibility compliance

FERPA compliant

Student record protection built in

SOC 2 Type II

Audit in progress with continuous monitoring

How Collage Compares to Other Platforms

CapabilityGeneral LLMsLMSsStandalone AI ToolsCollage
Primary purposeGenerate content and answer questionsManage and deliver coursesOptimize a single teaching functionHolistic teaching and learning platform
Grounded in learning scienceGenerally noLimited; depends on course designVaries by productDesigned around learning science from the ground up
Learning outcomes alignmentPrompt-dependentManualOften limited to one activityExplicit alignment of outcomes, content, activities, and assessments
Personalized student supportGeneric unless promptedLimitedUsually focused on one functionContext-aware Socratic tutoring embedded throughout learning

Seamless Integration

Collage is built to fit effortlessly into your existing digital ecosystem, respecting your current workflows.

Canvas

LTI 1.3 Advantage

Blackboard

LTI 1.3 Advantage

Brightspace (D2L)

LTI 1.3 Advantage

Moodle

LTI 1.3 Advantage

Single Sign-On

Standard authentication protocols for unified access

Voices from the Classroom

Q · Student
“So many different ways of teaching you.”
LOVED Collage — it had so many different ways of teaching you based on whether you were a visual learner, a reader, etc. Super well organized and well structured.
— Student
Q · Accounting faculty
“Breaking it down in a way I couldn’t have in class.”
It’s breaking it down for them in a way that I wouldn’t have been able to in class. It gives me what we need to help them with the study piece and help them realize what they know or what they don’t know.
— Accounting faculty
Q · Physics faculty
“It transformed what my students were able to achieve.”
tap to see why →
The adaptive feedback helped students master difficult concepts faster and at a deeper level than I’d seen in previous semesters — they arrived prepared, confident, and ready to engage.
— Faculty, Harvard University

Have questions?Find answers.

Collage is a teaching and learning platform built on pedagogical best practices like backward design and cognitive load theory. It helps educators design, deliver, assess, and improve personalized learning at scale, while providing strong support for team- and project-based learning. Full security, LMS integration, and instructor oversight are all built in.

Collage AI is built for higher education and high school instructors and students. Unlike generic AI tools, it's designed around real educator and student workflows, keeping instructors in full control of content and instructional decisions.

No. Collage AI, Inc. is an AI teaching and learning platform for higher education and high school instructors and students. It is not affiliated with Collage HR, Colleague AI, StudyHall.AI, or the Collage photo-collage app. Our only official website is collage-ai.com.

As a Public Benefit Corporation, Collage is legally bound to protect its social and educational mission, prioritizing the public good alongside financial sustainability.

Collage takes a fundamentally different approach to AI. Rather than functioning as a standalone assistant, Collage is an integrated teaching and learning platform grounded in proven pedagogical frameworks. It provides personalized feedback and support while giving instructors visibility into where students are succeeding or struggling. Collage also extends learning beyond individual mastery through team-based environments and project-based learning, where students collaborate, apply knowledge, and solve authentic problems together. The result is a learning environment that strengthens preparation, promotes active and collaborative learning, and measurably improves learning outcomes.

Educators and institutions often want to know exactly how their course content is handled. Your course content is used to produce lessons and assessments but is not used to train the AI model. Institution and instructor data is separated at the database level, so materials are not shared across institutions or exposed to unrelated educators.

Institutions evaluating Collage often need to satisfy formal security, procurement, and accessibility review before moving forward. Collage maintains current HECVAT and VPAT assessments, available upon request, so your IT, security, and accessibility teams can complete their review without delay. We are also currently undergoing a full SOC 2 Type II audit to verify operational effectiveness over an extended monitoring period.

Collage integrates with major learning management systems, including Canvas, Moodle, Brightspace, and Blackboard, using the LTI standard, and grades can be synced back to the LMS gradebook at the activity level, so instructors choose exactly which assessments transfer. For institutions without a supported LMS, Collage also runs as a standalone platform, so LMS integration is a convenience, not a requirement.

Educators often worry that uploading course materials means giving up ownership of their work. The intellectual property rights of materials you input into Collage do not change: if you own the content you upload, you continue to own it. In doing so, you grant Collage a license to use those materials to generate educational content and assessments for your course. You also own the AI-generated outputs, so long as you do not use them for commercial purposes.

Book spines labelled with school subjects, arranged to spell Collage AI.

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