Standards pressure
Districts need clearer mastery evidence without breaking percentage-grade workflows.
Investor materials
Teacher-reviewed AI turns student work into mastery evidence, grade decisions, interventions, and audit records beside existing LMS workflows.
Problem and timing
Districts need clearer mastery evidence without breaking percentage-grade workflows.
LTI gives Hologram an adoption path beside existing LMS workflows while the evidence record compounds.
Trust stays with educators. AI structures mastery, grades, and support; teachers approve actions.
Product architecture
Every assignment, evidence artifact, grade signal, intervention, and audit event stays connected.

Teacher
Student
District
Standards evidence, percentage signals, risk flags, and teacher approval in one working surface.

Student support stays tied to the same evidence model and never bypasses teacher intent.

Claims, interventions, compliance posture, and audit history stay visible for leaders.
Adoption wedge
Target districts validating teacher-reviewed grading and mastery evidence beside existing LMS adoption.
Workflow proof converts into school-level contracts across standards-based and percentage-grade programs.
Contract growth follows evidence depth, onboarding proof, and reference-led trust.
Market wedge
The initial wedge expands from district pain into policy and AI-grading clusters, then into a national workflow budget beside core LMS spend.
Detailed sizing, pricing assumptions, and margin math stay in the data room until the source model is backed.
Initial wedge forms where standards pressure, grading workload, or AI governance creates urgency.
District clusters where mastery evidence and teacher review already have leadership attention.
Broader LMS-adjacent spend for teacher-reviewed grading, evidence, and audit systems.
Business model
Hologram sells the standards-evidence workflow beside the LMS, then expands as schools consolidate mastery, support, and audit around the same record.
Simple annual pricing model. Exact list price and discount bands stay in the financial model.
Initial contracts prove workflow adoption before forcing district-wide migration.
Expansion follows grade coverage, onboarding proof, and renewal evidence.
Team and ask
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
Gated materials use a scoped Nocturne vault. Public marketing remains flat, scannable, and Parchment-forward.
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