Grading is a dialogue, not a score.
MateFlow isn’t an AI grader. It’s a workspace built around the teachers who do the grading.
Give the time back. Keep the judgment.
Teachers we talked to were spending two, sometimes three evenings a week on the same repetitive work — sorting submissions, writing the same sentence about thesis statements eighty times, copying rubric language into a learning-management system that doesn’t care.
We wanted AI to give that time back. Not by skipping the feedback, but by drafting it first, in the teacher’s rubric, so the teacher could spend their evening editing instead of authoring from a blank page.
But never at the cost of teacher judgment. The model can read a paragraph faster than a human can. It cannot decide what a particular student needs to hear, in what order, this week. That is the teacher’s job, and we built every screen in MateFlow to protect it.
Different from a generic AI grader.
Most “AI grading” tools want to replace the assessment. MateFlow keeps the teacher between the model and the student — every time, by default.
- 01Generic AI grader
Returns a score and stops.
MateFlowDrafts rubric-aligned feedback the teacher edits before it ships.
- 02Generic AI grader
Black-box scoring with no rationale.
MateFlowTransparent reasoning per criterion — visible, editable, attributable.
- 03Generic AI grader
Fire-and-forget — graded the moment a student uploads.
MateFlowHuman-in-the-loop. Nothing reaches the student without teacher approval.
- 04Generic AI grader
Owns the academic decision.
MateFlowThe teacher owns every final decision. Always.
One loop. Four screens. Teacher in the middle.
The product is the workflow, not the model. Every step has a clear handoff, and the teacher is the gate before anything reaches a student.
Upload
Drop in a stack of student work — PDF scans, photos, typed submissions. OCR and assignment matching happen in the background.
AI drafts
The model writes a first pass against your rubric, criterion by criterion, with the source passage cited inline.
Teacher reviews
You read, edit, override, or rewrite. Strike a sentence, change a score, leave a private note. The draft adapts.
Feedback delivered
Only what you approve is sent to the student — in your voice, with the rubric attached, with room to reply.
Where we’re going next.
We publish what’s shipping, what’s queued, and what’s further out. No vapor — if it’s under “Later” we’re still scoping it.
- Assisted grading with rubric-aligned drafts
- Per-criterion teacher review and override
- Class-level insight from every assignment
- Parent reports in plain language
- Class analytics across cohorts
- Stylus-first annotation on tablets
- Multi-language OCR for non-English submissions
The people behind the workspace.
A small team working across Korea and the United States — building, testing, and telling the story of MateFlow with a teacher’s voice in the room.
Suhwan Lim
임수환·Co-founder
Leads business strategy and partnerships, drawing on experience founding brands and building partnerships in Korea and abroad — toward an AI-powered environment that frees teachers from repetitive work so they can focus on teaching.
- Former Vice President, Wonwoo Enterprise
- Founder, AIRLAT
- Founder, Lissei Company
- Korea Partner, FRUITIVAL
Hongmuk Jung (Daniel)
정홍묵·CTO
Partners with MateFlow as a service CTO, leading product and technology end to end — the web workspace, AI grading pipeline, API, and infrastructure. A full-stack developer with a track record of delivering web and app products for dozens of clients across Korea.
- CEO, HMSOFT
- CEO, HMNEWS
- CTO, Grape
Yeeun Yoon
윤예은·Service Planning
Defines service problems from the user’s perspective and turns them into plans the team can build — supporting planning and operations across MateFlow, with hands-on experience shipping web and app services.
Eun-A Choi (Rona)
최은아·Content & Brand Design
Plans and designs MateFlow’s brand content — Instagram-first strategy, card news, Reels scripts, and copywriting across Facebook, Threads, and X. Draws on seven years as a web & app planning designer for public institutions and SMBs to tell MateFlow’s story to the teachers who need it.
Eunkyung Park
박은경·QA Engineer
Brings about eleven years across education administration, financial institutions, IT planning, and AI to quality assurance at MateFlow — with experience at universities, IT firms, and financial companies in Korea and Canada.
Hyesung Kang
강혜성·Education Advisor
A former private high school teacher in the United States and a doctoral student in Educational Technology at the University of South Florida — advising MateFlow on pedagogy, classroom practice, and the feedback that actually helps students grow.
Technology should not replace the teacher, but liberate them to be the mentor every student deserves.
— The MateFlow team
See how the workspace fits the philosophy.