Standards pressure
Districts need clearer mastery evidence without losing percentage-grade workflows.
Investor materials
Most LMSs manage courses.Hologram manages learning.
Teacher-reviewed AI turns every student response into mastery evidence, grade decisions, interventions, and audit beside existing LMS workflows.
Problem and timing
Grades, mastery, and AI evidence are converging, but LMS workflows were not built for the loop.
Integration rails
LTI lets Hologram land beside existing LMS workflows while the evidence record compounds.
Teacher-reviewed AI
Trust stays with educators. AI structures mastery, grades, and support; teachers approve actions.
Product architecture
One traceable learning loop.
Every assignment, evidence artifact, grade signal, intervention, and audit event stays connected.
ObserveEstimateDetectInterveneAudit
TeacherMastery heatmap
StudentSocratic Study Buddy
DistrictDistrict overview
Teacher
Mastery heatmap
Standards evidence, percentage signals, risk flags, and teacher approval in one working surface.
Student
Socratic Study Buddy
Student support stays tied to the same evidence model and never bypasses teacher intent.
District
District overview
Claims, interventions, compliance posture, and audit history stay visible for leaders.
Adoption wedge
Integrate first. Earn expansion through design-partner proof.
Design partner recruitment
Open to U.S. districts in any state validating AI-assisted grading beside existing LMS adoption.
Paid conversion motion
Proof converts into school-level contracts across standards-based and percentage-grade programs.
District expansion
Contract growth follows evidence depth, not LMS displacement.
Market wedge
Evidence workflow is the first market, not the LMS category.
The initial wedge expands from district pain into policy and AI-grading clusters, then into a national workflow budget that already sits beside core LMS spend.
State/district beachheads
Initial wedge forms wherever standards pressure, grading workload, or AI governance creates urgency.
SBG + AI grading clusters
District clusters where mastery evidence and AI-assisted grading already have leadership attention.
National workflow budget
Broader LMS-adjacent workflow budget for teacher-reviewed grading and evidence systems.
Team and ask
Solo-built proof; raising to fund district-ready execution.
The round converts product proof into adoption proof: pilot evidence, teacher workflow proof, repeatable onboarding, and investor-ready operating materials.
Founder-led build across learning workflow, AI systems, and product architecture.
Design-partner path focused on repeatable onboarding proof before broad spend.
Round funds district-ready execution, not speculative product exploration.
Secure data room
Premium investor data room, built on the same deck system.
Gated materials use a scoped Nocturne glass surface. Public marketing remains flat and Parchment-forward.
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Available after investor access approval.
Financial model
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Product proof packet
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Pilot readiness plan
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Claims ledger
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Security overview
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