Bare Branding& Systems
Co-Founder Build — Dr. Leo Grassi × Bare Branding Systems
Education Systems · Active Development

InsightGrade

AI-Assisted Academic Evaluation Infrastructure — end-to-end systems designed to reduce educator workload and improve evaluation quality.

Not
An LMS
Not
A chatbot
Not
An AI teacher replacement
We are
AI-assisted academic evaluation infrastructure. Educators assist, humans decide.

Academic evaluation is one of education's most time-intensive, high-stakes workloads. Professors spend hours grading discussion threads — assessing reasoning depth, engagement quality, citation rigor, and originality — often with inconsistent rubric alignment and limited bandwidth for meaningful feedback.

InsightGrade is built to change that. It is infrastructure — not a grading shortcut. Each evaluation passes through a multi-model AI system that analyzes thinking quality, generates structured breakdowns with justification, and surfaces everything for professor review before anything is finalized or exported.

The result is more consistent, higher-quality feedback delivered at scale — while keeping the professor firmly in control at every step.

Build Status
MVP in active development — live demo available
Operational Infrastructure

What We Are Building

The backend systems and operational layers that make evaluation infrastructure possible at institutional scale.

Secure & Compliant
FERPA-aligned data handling, encryption, and privacy by design. Academic data is treated with institutional-grade security standards at every layer of the system.
Data Processing Layer
Scalable ingestion and processing of discussion content and rubrics. Built to handle diverse LMS export formats and normalize them into structured evaluation-ready input.
AI Evaluation Engine
Multi-model AI system optimized for deep academic reasoning and rubric alignment. Evaluates critical thinking, engagement quality, citations, originality, and peer interaction — not just surface participation.
Professor Memory
Continuous learning of grading patterns, preferences, and rubric interpretation. The system adapts to each professor's standards over time — personalizing evaluation to their voice, not replacing it.
Analytics & Insights
Dashboards for educators and institutions to track evaluation quality and impact over time. Surfaces patterns in student engagement, feedback effectiveness, and rubric performance at class and department level.
Integrations
Seamless sync with LMS platforms — Canvas live, more coming. Grades and feedback export directly to the gradebook, removing manual re-entry and keeping institutional workflows intact.
What This Infrastructure Drives
Higher quality feedback Consistent, fair grading Reduced educator workload & burnout Stronger student learning outcomes Institutional confidence & adoption
Live Demo
MVP — In Development
InsightGrade — Working Prototype
The infrastructure is being built in the open. The current MVP demonstrates the core evaluation flow — upload, AI analysis, grading output, and professor review layer.
View Live Demo
Platform Vercel — project-d2uef
Stage MVP / Active iteration
LMS Integration Canvas (live)
AI Stack Multi-model evaluation engine

InsightGrade is being built as a long-term infrastructure play — not a feature, not a plugin. If you're an educator, institution, or investor interested in where academic evaluation is heading, reach out.

Start a conversation →