AI Engine

Institutional-grade AI, not a chatbot wrapper

Purpose-built AI infrastructure for grading, tutoring, and academic intelligence — with full teacher control, safety guardrails, and institutional governance.

AI Grading Engine

From submission to feedback in minutes

Automated rubric-based evaluation with explainable scoring, integrity checks, and mandatory teacher approval before release.

1

Submission

Student submits assignment

2

AI Analysis

Rubric + RAG processing

3

Breakdown

Score, feedback, integrity check

4

Teacher Review

Human approval & override

RAG Knowledge Base

Every AI response grounded in your curriculum

Retrieval-Augmented Generation ensures AI responses cite actual course materials, not hallucinated content.

Course Materials

Syllabi, textbooks, lectures

Vector Indexing

Chunked & embedded for retrieval

Contextual Search

Semantic matching against query

AI Generation

Grounded, source-cited response

Guardrails & Safety

AI you can trust in an academic setting

Every AI action is governed, logged, and reviewable. Faculty maintain full authority over AI-generated content.

Content Safety

Filters harmful, biased, or off-topic responses before they reach students.

Institutional Policy

Responses aligned to your institution's academic integrity and conduct policies.

Transparency Logs

Full audit trail of every AI decision, input, and output for compliance.

Teacher Override

Faculty can intervene, adjust, or reject any AI-generated assessment at any time.

Teacher Control Loop

AI assists. Teachers decide.

Every AI-generated grade, feedback comment, and recommendation flows through a mandatory teacher approval step. Faculty can accept, modify, or reject any AI output.

1AI generates draft grade + feedback
2Teacher reviews with full context visibility
3Teacher can adjust score, edit feedback, or reject
4Only teacher-approved results are released to students

Scale & Flexibility

Future-proof AI infrastructure

Swap models, scale compute, and control costs — all without changing your academic workflows.

Model Abstraction Layer

Swap underlying AI models (GPT-4, Claude, Gemini, open-source) without changing your workflows. Future-proof your AI stack.

Usage-Based Pricing

Pay only for AI tokens consumed. No fixed per-seat AI licensing. Scale from 100 to 100,000 students with predictable costs.

Dedicated AI Instances

Enterprise customers get isolated AI compute with guaranteed throughput, no shared resources, no noisy neighbors.

See AI grading in action

Schedule a live demo of the AI Engine with your own rubrics and sample submissions.