


"Seriously, everything about my online make-up course is cringe, outdated and childish. A guy in my class used a cheat app to click through. I just zone out completely."
1.2M students
fail to recover credits each year in the US
~30% completion
average rate on passive online credit recovery platforms
$1.5B market
spent annually on credit recovery — with poor outcomes
EdResearch for Recovery shows most online credit-recovery tools are solo, vendor-built modules — and students often learn less than in face-to-face recovery, even when they regain credits. These are the students least likely to ask for help in isolated environments.
AASA and EdWeek report that SEL often becomes a compliance module because schools lack time, training, and funding — so students don't actually feel more seen or connected.
Research on peer culture and belonging shows that classmates strongly shape whether students feel like they belong and can learn — yet most school platforms do not support structured peer interaction.
Online learning has plenty of content. What's missing is a way for students to feel connected, useful, and seen.
Youth and digital media, Mellon/ACLS Public Fellow, research on how young people learn through creating and sharing media.
Deep experience building AI-powered products, giving ArcSchool a technical edge most edtech founders lack.
Understands how teens create, consume, and respond to video content — critical for designing a platform they'll actually use.
Grounded in CSCL, peer learning research, and Bloom's taxonomy — the academic backbone of ArcSchool's pedagogy.
ArcSchool brings in well-known content creators, filmmakers, designers, and thinkers to teach students how to create content they're genuinely proud of — work that shows depth of knowledge no click-through quiz ever could.
Students choose their style — music, energy, calm — and learn professional-grade tools of digital creation in a safe, learning-centered environment. Their work goes into their own portfolio, social media, college apps, or beyond.
When a peer in their zip code learns from their video, students feel it. ArcSchool turns coursework into something worth sharing — and worth keeping.
They don't just pass the course by taking a multiple choice test. They walk away with work they made, skills they own, and proof they can teach.
Horizon 1 (beachhead): Annual US spend on credit recovery — dominated by passive, low-engagement platforms ripe for disruption.
Horizon 2 (2-4 years): expansion into social-emotional learning — same platform, new use cases.
North Star: ArcSchool as the peer-to-peer learning layer across all subjects and grade levels, revolutionizing the way classroom content impacts learning
Today's platforms serve outdated content on outdated infrastructure — and students are telling us loudly. ArcSchool is built on what the research, the data, and the kids themselves are saying.
Today's platforms serve outdated content on outdated infrastructure — and students are telling us loudly. ArcSchool is built on what the research, the data, and the kids themselves are saying.
Record a short video explaining a concept they've mastered — structured, standards-aligned, and original.
Our AI layer scores accuracy, clarity, and standards alignment — flagging issues before teacher review.
Teachers confirm in ~2 minutes. Students earn credit. Peers get a better explanation than any textbook.
A student fails Algebra and is handed two options: repeat the same class, or grind through a low-engagement online course that looks exactly like what already didn't work.
They log into a platform like Edgenuity, see another stack of canned videos and auto-graded quizzes, and conclude: this is school happening to them—not with them. Today, many students are hiring AI apps to fake their way through the work.
At-promise students start to disappear—not because they can't learn, but because the way we ask them to learn doesn't see them as capable creators.
Student selects a concept from their failed course — one they now feel ready to explain.
Guided by ArcSchool's scaffolding and other students' content on the topc, they research, outline, and prepare their explanation.
Student records a short video explanation — structured, on-topic, and in their own voice.
AI checks for accuracy, standards alignment, and completeness before it reaches the teacher.
Teacher reviews in ~2 min. Credit awarded. The video joins the peer library for other students.
Checks factual accuracy and conceptual completeness against standards.
Evaluates clarity, pacing, and whether the explanation follows a logical arc.
Detects AI-generated or plagiarized content — keeping the work authentically student-made.
Maps each submission to district curriculum standards automatically.
Edgenuity (the incumbent in online coursework) and peers deliver publisher content with auto-graded quizzes. Built for throughput and compliance—not student authorship. High churn, low engagement.
Brainly, Schoolhouse, and tutoring apps enable informal help and collaboration, but are not tied to standards-aligned, teacher-approved, credit-bearing artifacts in K–12. They're beside schools, not in them.
Credit-bearing explanations mapped to district standards ·
AI layer that makes youth media evaluable ·
Proprietary student explanation library & Founder-market fit across enterprise AI, youth media, and learning sciences.

CSCL, Bloom's 'create,' peer learning research, and design principles for credit recovery are all mapped to the product architecture.
Applying for $250K SBIR Phase I federal R&D funding to validate the AI assessment layer — this does not come out of your equity.
Identifying 1–2 Oregon districts to co-develop and test the MVP alongside us — real feedback before we scale. Our advisory borad members who work in these districts tell us they are ready to pay for real solutions.
On a SAFE to fund platform v1, run the pilots, and generate the case studies that make the seed round obvious.
Prove it where the pain is loudest. Credit recovery in two Oregon districts for Algebra 1 and English 9, focused on at-promise students not succeeding in current options.
From fixing failure to building voice. Expand into SEL, advisory, and creator-based learning experiences—same platform, new use cases for identity, reflection, and communication.
Peer-to-peer layer for school systems. Sit alongside LMS and SIS as the platform where students earn badges and credit by teaching peers across all subjects.
Structured to prove that credit-bearing peer learning can outperform today's passive credit recovery — with real students, real credits, and real districts.
ArcSchool v1 — full student and educator experience plus the AI assessment layer — and two 9-month pilots in Oregon high schools.
Positions ArcSchool for non-dilutive R&D funding (SBIR $250K) and a larger seed round once we have product in market, published case studies, and a growing district pipeline.
What districts are using today — and what's broken about it.
Edgenuity, Apex Learning, Edmentum/PLATO, Imagine Learning, Stride/K12
Vendor content, auto-graded quizzes, seat-time progress. Low engagement, click-through culture, no peer pedagogy — proof of learning is shallow.
Twilight/night school, summer school, teacher-led recovery
Relationship-based but expensive to staff, hard to scale post-pandemic, inconsistent quality across districts.
Canvas, Schoology, Google Classroom
Infrastructure only — not dedicated recovery solutions. Require significant local content design and investment.
Discord, peer-tutoring apps, informal platforms
Students self-organize informally — not tied to credit, no standards alignment, no oversight or assessment.
A distinct category: credit-bearing peer-learning, built from student-created content.
Edgenuity, Apex, Edmentum, Stride
ArcSchool
Traditional credit recovery: watch videos, click through modules, pass auto-graded quizzes. Completion = credit.
ArcSchool: students earn credit by creating standards-aligned explanations that other students actually use. Teaching = evidence of mastery.
Built for the line item districts already fund — but the model extends to SEL, new pedagogy, and any subject.
Captures the motivation and depth of peer explanation while giving districts standards-aligned, assessable evidence.
Not an LMS or SIS replacement — ArcSchool is the learning workflow layer that sits on top of existing infrastructure.
A practical GTM plan focused on Oregon and nearby districts.
Directors of secondary education, credit recovery coordinators, alternative programs in Oregon and Pacific Northwest. We alreacdy have warm connections with these decision-makers.
2 pilot packages for Algebra 1 and English 9 credit recovery with at-promise students. 9-month duration, blended with existing supports.
Higher engagement, deeper evidence of learning via student artifacts + AI-assisted review, aligned with emerging design principles for effective online credit recovery.
Early partnerships include in-person student content workshops with Nike content creators, early MVP development, and contextual R&D as we measure impact and outcomes with early case studies.
AI as a differentiator — used responsibly.
AI never creates the explainer for the student.
AI is used to evaluate and support what students create — not to generate content on their behalf. This protects authenticity and the learning value of the work.
AI suggests improvements — 'add a second example,' 'define this term' — but final credit decisions always stay with educators.
AI converts speech to text and confirms required vocabulary and concepts are actually present — not just mentioned once.
Equations, diagrams, and annotations are verified to be visible, legible, and organized as the task requires.
Plagiarism and AI-generation detection flags scripted or copied work. This reduces teacher review time and makes student-generated content viable at scale.
How we make money — and what the numbers look like.
K-12 districts and alternative programs — initially Oregon / PNW.
Annual per-student license starting at $75–$100/student/year — below typical vendor course costs but with better engagement and evidence.
Pilot phase: $5K–$15K fixed-fee pilots. Scale phase: annual contracts with minimum student counts, expanding by subject and school.
Start with 2 pilot districts in Year 1, growing to 10–12 districts by Year 3 if pilots are successful.
75–150 students per district in credit recovery, expanding to 250–500 as SEL and core-class use cases are added.
SaaS-style unit economics with targeted 75–85% gross margin, consistent with software-led edtech platforms.