Scaffold Academic Intelligence
Assessment should be the most informative moment in a course — not the most exhausting.
Grade your cohort in hours, so your week has room for the things grading crowds out.
Grading rigor that holds up to any appeal.
Consistent standards across every grader and every student, every time.
We've spent years grading at scale and know the feedback loop is broken. Students submit their best work. Instructors do their best to provide actionable feedback. And most of what could be learned from that exchange is lost to time pressure and tight departmental budgets. Scaffold was built to recover what's been left on the table.
Every assessment should teach as much as it measures.
What becomes possible
What if every student received personalized feedback they can act on?
Today, even the most dedicated instructors face a trade-off between the depth of their feedback and the time it takes to deliver. High-level comments are manageable; detailed, criterion-by-criterion feedback that engages with each student's specific reasoning on every question is not, regardless of cohort size.
Scaffold delivers that level of detail as a starting point — so the feedback your students receive is more precise, more actionable, and more consistent than what any grading team could sustain at scale.
What if no student had to move on from a grade without understanding what went wrong, and why?
Students eagerly await their grades, but when they finally receive them, most check the number and close the tab. Not because they don't care — it's the absence of a next step. Office hours exist for exactly this kind of follow-up, but they reach a fraction of the cohort, and the students who need the most support are often the least likely to attend. So the gap between receiving a grade and learning from it stays open — and widens with every assessment.
Scaffold gives every student the equivalent of a one-on-one with the instructor who just graded their paper — available at any hour. The tutor knows their specific submission, the criteria they were assessed against, and the course materials behind the questions. It guides each student from "I lost marks" to "I see why, and here's how I'd approach it differently." And if the conversation surfaces a legitimate grading concern, a formal appeal path is built right in — the full transcript goes to the instructor alongside the original rationale.
What if you had a concept-level map of your cohort's understanding, not just a grade distribution?
Instructors have always known that a column of percentages hides more than it reveals. Did the cohort struggle with Q3 because the question was poorly worded, or because the concept genuinely didn't land? Is the bimodal distribution a sign of two distinct preparation levels, or an instructional gap? These questions are natural — but a spreadsheet can only raise them, not answer them, and the semester doesn't pause while you try to piece it together manually.
Scaffold answers these questions clearly — where understanding holds, where confusion clusters, and how it all distributes across the material you taught. Not as a report after the semester ends, but in time to adjust while the material is still live.
What if every assessment showed you exactly what worked — and made the next one sharper?
Every instructor gets better at writing exams over time — but it's a slow, isolated process. You reword the question that "felt off," merge the criteria you suspect overlapped. But these are impressions, not measurements — you don't know which questions actually discriminated, which criteria pulled their weight, or whether last year's revision made things better or just different. An instructor with fifteen years of experience has sharper instincts than one with two, but not sharper data.
Scaffold gives assessment design the feedback loop it's never had. It shows you which questions discriminated, which criteria overlapped, and whether last year's revisions actually moved the needle — so each assessment is built on evidence from the last, not memory of it.
These aren't hypothetical. This is what assessment looks like when the relationship between student work, course design, and instructor expertise becomes something you can see, measure, and build on.
AI in assessment raises fair questions. We built Scaffold with those questions in mind from the start, with one guiding principle: the instructor is never removed from the loop. No grade is released without human review. Every score is traceable back to the rubric criterion and rationale that produced it. And your students' data remains in Canada, within the privacy frameworks your institution already operates under.
How we approach trust, privacy, and compliance →Partner with us
Scaffold was built from the classroom — by educators who believe assessment can do more. If you're exploring what AI-assisted assessment could look like in your courses, we'd welcome the conversation.