Wedge
Standards-based grading as architectural primitive.
Competitors can imitate surfaces, but not the underlying mastery data model without rebuilding core assumptions.
Investors
Hologram is an AI-native LMS wedge built from scratch on a mastery data model. Pre-seed stage, Fall 2026 pilot path.
Incumbents treating standards-based grading as the primitive data model rather than a reporting layer.
A standards-dense workflow where teachers feel the pain daily.
The thesis
Wedge
Competitors can imitate surfaces, but not the underlying mastery data model without rebuilding core assumptions.
Timing
LMS ownership changes and AI adoption pressure are forcing districts to evaluate what the gradebook should become.
Moat
Every rubric decision, prerequisite attempt, and teacher override compounds into mastery prediction infrastructure.
Pilot path
The first wedge is 3-5 teachers and roughly 150 students, running beside Canvas before district expansion.
Pilot math
Target shape for the first Fall 2026 classroom pilot.
Small enough for weekly product feedback and careful observation.
Mastery data powers grading, intervention, analytics, and audit.