Different institutions need different AI configurations
A K-12 school needs IEP generation and parent communication tools. A university needs grading at scale and dropout prediction. A corporate L&D team needs rapid course creation and skills gap analysis. Generic AI tools do not know the difference.
OpenEduCat AI is pre-configured for each institution type, K-12, higher education, corporate training, and online learning, with the right workflows, terminology, and compliance defaults built in from the start.
Choose your institution type
Each solution page covers the specific challenges, AI features, and compliance requirements for that institution type.
K-12 Schools
Lesson planning, grading, IEP generation, and parent communication
K-12 teachers spend 40% of their planning time on administrative tasks. The AI tools built for K-12 automate lesson plan generation aligned to state standards, flag at-risk students before grades deteriorate, draft IEP goals from assessment data, and send parent updates in bulk, in multiple languages.
Higher Education
Grading at scale, dropout prediction, academic integrity, and research support
Large lecture classes, dropout risk, academic integrity concerns, and faculty research workloads are the defining pressures for colleges and universities. The AI tools built for higher education address each of these, without requiring a new platform or vendor relationship.
Corporate Training
Course creation, competency gap analysis, compliance automation, and ROI tracking
L&D teams face a structural mismatch: the business moves faster than courses can be created. The AI tools built for corporate training cut course creation from weeks to hours, automate compliance module assignment, map competency gaps, and connect training completion to measurable business outcomes.
Online Learning
Content generation, adaptive paths, engagement monitoring, and 24/7 AI tutoring
Online programmes need 10 times more content than in-person courses, and students disengage silently without the cues of a physical classroom. The AI tools built for online learning scale content production, adapt delivery to individual pace, and provide 24/7 student support without scaling the instructor headcount.
India
CBCS compliance, NAAC reporting, regional language support, and ATKT prevention
Indian colleges and universities face a specific set of pressures: CBCS grading, NAAC accreditation cycles, 1:80+ faculty ratios, and a student population that does not all think in English. The AI tools in OpenEduCat were built with these realities in mind, with INR pricing and on-premise deployment support.
Capabilities that work across every institution type
These are the infrastructure-level AI capabilities that underpin every vertical, not specific features, but foundational properties that matter for every institution.
Bring Your Own Model (BYOM)
Connect OpenEduCat AI to any model provider, OpenAI, Anthropic, Google Gemini, Mistral, or a locally-hosted open-source model. You are not locked into a single vendor's AI pricing or data handling policies.
Learn more →On-Premise Deployment
Run all AI tools entirely within your own infrastructure. No data leaves your servers. Required for institutions with FERPA, COPPA, or government data sovereignty requirements.
Learn more →Data Privacy by Design
Student data is never used to train AI models. Every AI interaction is institution-scoped. Audit logs capture every AI-assisted grading decision for review.
Learn more →Open Source Foundation
The platform is built on Odoo, with OpenEduCat modules under open-source licenses. You can inspect, extend, or self-host every part of the system, including the AI integration layer.
Learn more →Explore the AI Hub
Frequently Asked Questions
Common questions about how OpenEduCat AI works across different institution types.
Find the right AI configuration for your institution
Tell us about your institution type and size and we will walk you through the AI features most relevant to your context, no generic demo, no feature list recital.