The process becomes part of the submission.
TrustEd brings drafts, revisions, source use, and AI assistance alongside the final submission, helping institutions maintain confidence in student work and giving faculty the context to evaluate whether AI supported the learning or produced the work.
Context, not conclusions. Faculty retain control.
Responsible AI by Design
Student data is never used to train our models.
Backed by Apporto's Proven Platform
The final submission is only part of the story.
Faculty consider more than a final answer. Drafting, reasoning, revision, and the appropriate use of supporting tools all shape the academic process. TrustEd brings that context forward with the final submission.
Final Submission Alone
False positives can erode trust.
A final-output score offers limited context about how the work developed.
Trusted Adds
Context
How the Work Developed
Faculty gain context and retain control of the review.
From assignment to informed review.
TrustEd connects faculty-defined expectations with a clear view of how student work developed, all within the academic workflow.
Set the expectations
Faculty define the assignment requirements and clarify how AI may be used.
Develop the work
Students complete the assignment in supported course tools and environments.
Connect how the work developed
TrustEd brings the development process forward alongside the final submission.
Review with context
Faculty review the work and how it developed, then determine the appropriate next step.
Set the expectations
Faculty define the assignment requirements and clarify how AI may be used.
Develop the work
Students complete the assignment in supported course tools and environments.
Connect how the work developed
TrustEd brings the development process forward alongside the final submission.
Review with context
Faculty review the work and how it developed, then determine the appropriate next step.
Start with the big picture. Go deeper where context matters.
TrustEd helps faculty move from course-level patterns to assignment and submission detail without opening every submission individually.
See where a closer look may be useful.
Compare patterns across courses and assignments, then move directly into the relevant submission detail.
Review related indicators
across a class.
Explore relevant patterns across submissions, organize them by review priority, and focus attention where the process differs meaningfully.
See how an individual submission developed.
Move through the development of the work, review relevant events in context, and understand what happened before deciding what it means.
Context Brought Forward
Faculty consider this context alongside the assignment, course expectations, and information from the student.
Workflow Continuity
Context across the tools students already use.
TrustEd connects how work developed with supported academic workflows, from written assignments and coding to applied projects and AI-supported learning.
Students work in the environments their assignments require. Faculty receive a consistent view of how the work developed.
Institutional governance. By design.
TrustEd supports institution-defined access and review practices, clear expectations for students, and faculty judgment at the center of every decision.
Context remains connected to the assignment and course expectations. Apporto provides the security, privacy, accessibility, and governance documentation institutions need for evaluation and deployment.
Independently audited controls
Safeguards for student privacy and education records
Completed assessment for higher education security review
Designed to align with WCAG 2.2 AA, with VPAT 2.5 available
One connected AI Suite for learning, evaluation, assessment, and integrity.
Apporto's Academic AI Suite connects faculty-guided learning, faculty-controlled grading, secure assessment, and informed academic-integrity review in one governed platform.
Helps students learn alongside AI within faculty-defined guardrails.
Prepares rubric-aligned draft scores and feedback for faculty review.
Provides controlled environments for practical and meaningful assessment.
Provides context for understanding how academic work developed.
Common questions about TrustEd.
Straightforward answers about how TrustEd works, what faculty can review, and how institutions remain in control.
No. TrustEd does not issue an AI-detection score or automated conclusion. It shows how work developed, including relevant AI-assistance indicators, so faculty can review the context and decide what it means.
Depending on the supported environment and institutional configuration, TrustEd can bring together drafts and revisions, source use and pasted content, AI-assistance indicators, development over time, and significant changes associated with the submission.
No. TrustEd brings relevant development context forward for faculty review. Faculty and established institutional processes determine whether follow-up is appropriate and what happens next.
Institutions define who can access TrustEd and how it is used within academic policies and course workflows. Students should receive clear expectations about supported environments and review practices. Student data is not used to train Apporto AI models.
TrustEd is designed for supported academic workflows across written assignments, coding and technical work, applied projects, AI-supported learning activities, and multi-step or multi-tool assignments. Availability depends on the institution's configuration.
Put the final submission in context.
See how TrustEd brings drafts, revisions, source use, and AI assistance forward within existing academic workflows, so faculty can make informed decisions and retain control.