Global · Global Institutional & Tech
AI architectural studiesBuilt for design colleges.
The challenge
Design faculty struggle to provide real-time technical feedback on complex BIM workflows and algorithmic scripts during late-night studio sessions, leading to stalled student projects and software fatigue.
How AI Professor™ helps
The platform analyzes your specific studio syllabus to provide 24/7 technical assistance for Rhino, Grasshopper, and Revit via RAG-powered textbook synthesis. AI Professor conducts syllabus heatmaps to identify where students struggle with structural load calculations, offering Coach Mode to guide them through iterative massing exercises without providing direct shortcuts.
Why design colleges pick AI Professor™
Most "ai architectural studies" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with global institutional & tech workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.
What's in the box
A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.
Pricing & deployment
from $0.99 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.
Compliance & safety
Built for IB, Cambridge IGCSE, AP and Common Core. EU/US/IN data-residency options. SOC 2 posture, GDPR-friendly.
Frequently asked questions
Can AI Professor help students debug Grasshopper scripts or Rhino commands?
Yes, by indexing your department's specific technical manuals and software guides, the AI provides contextual troubleshooting. It identifies syntax errors in visual programming and suggests alternative components for achieving specific parametric geometries based on established architectural principles.
How does the platform handle the ethical implications of generative design in student portfolios?
Studio leads can mark which generative outputs are acceptable for portfolio submission and require students to document AI prompts as part of their process journal. The platform logs every interaction so reviewers can trace authorship and assess original contribution honestly.
Does AI Professor support legacy architecture textbooks and regional building codes?
The RAG (Retrieval-Augmented Generation) infrastructure allows institutions to upload specific PDFs of regional NBC (National Building Code) standards and rare site-planning textbooks. This ensures that the AI's advice remains compliant with local regulations and specific historical contexts relevant to the curriculum.
How does AI-assisted grading function for subjective design theory assignments?
Subjective design rubrics are uploaded once, and the AI scores submissions against each criterion (concept clarity, contextual response, technical resolution) with written justification per band. Faculty review the AI rubric output and adjust before final marks, cutting grading time roughly in half.