AI for the whole
university.
AI for learning, for teaching, and for how the university runs — from a single course to institution-wide rollout.
AI doesn't stop at the tutor.
Learning was the first place we brought AI into higher education. The same technology now works in the work of teaching and in how the institution runs.
AI that helps students learn.
Students get help from their own course material: they can ask questions, ask for an explanation, practise, and keep working on what they haven't understood yet.
- course-bound AI tutor
- answers grounded in sources
- practice and self-checking
- web, mobile, or their own AI client
AI for the work of teaching.
AI isn't only a student tool. It helps design courses, develop material and prepare assignments — under the instructor's control.
- course AI built from your own material
- course and material development
- teaching workflows
- shareable skills and recipes
AI in how the university runs.
Institutional AI works beyond teaching too: knowledge search, administration, internal processes, or extending the systems you already have.
- internal knowledge assistants
- administrative workflows
- system functions reachable from AI
- custom institutional agents
AI doesn't have to be yet another separate system.
Your university already has a student information system, an LMS, internal applications, data sources and identity management. We don't replace them — we connect AI capabilities to them.
A solution can be the AI for a single course, an internal knowledge base, an integration with an existing university system — or several components working together. The principle is the same throughout: we add only what is actually needed.
AI tutor
Course-bound AI that works from your own material. This is where we have the most real higher-education experience and usage data.
Agents
AI components that carry out a specific task or process, on their own or as part of an existing workflow.
Skills and recipes
Reusable AI tasks that not every instructor has to reinvent. What works can be shared and improved across the institution.
Integration and MCP
Your university's own data and functions can be reached from our interface — but also from ChatGPT, Claude or any other compatible AI client, without moving everything into a new application.
Custom solutions
Where it makes sense, we deliver the workflow, integration or application the institution needs.
- SSO and permissions
- existing institutional identity, bound to roles.
- White label, web and mobile
- under the institution's own brand and interface.
- Model choice
- according to the use case and institutional requirements.
- Deployment
- cloud, private, or on-premise where justified.
We start from one concrete problem.
Adoption can begin with a single course, one administrative process, or a workshop. What matters is having a real problem worth working on.
We understand the situation
What the institution wants to achieve, where the real need is, and which systems and constraints already exist.
We pick a first use case
A course, a department, an administrative process, a knowledge base, or an integration.
We build a pilot
Small scale, with real users.
We measure — and what works, scales
Not only whether it works technically, but whether people use it. A pilot can grow into a faculty-wide or institution-wide solution.
- AI strategy and use case discovery
- leadership and teaching-staff workshops
- training
- pilot design
- integration and custom development
- institution-wide rollout
We've been building AI for higher education since 2023.
GoSchool's first systems went live in university courses. Since then we've worked with instructors and students across several institutions, measuring continuously how AI actually gets used in a real higher-education setting.
GoSchool has transformed our university's approach to AI-assisted learning, making it seamless and engaging for both professors and students.
Goschool.ai encompasses numerous pedagogical innovations, enabling students to creatively engage with course literature. Instructors benefit from analyzing student chat logs, allowing them to adapt course plans effectively and address knowledge gaps more precisely.
It lets you develop your interest in the topics and dig deep in what interests you the most.
We don't just build it. We study how it's used.
Plenty of claims about AI in higher education come out of labs and surveys. We work with systems that students and instructors use in real courses — and we study what they actually use them for, how instructors keep control, and what makes an AI tool genuinely useful in education.
Where would AI actually be worth using at your university?
You don't need to arrive with a finished specification. It might be a course, an administrative process, an integration problem — or simply the question of where to start.
Course · Administration · Integration · Workshop · Pilot · Institution-wide rollout