AI built for universities.
We proved the model in university teaching. Today we work to bring university knowledge and services closer through AI — from learning to administration, under institutional control.
A general AI tool runs a better model today than ours.
It still cannot read your lecture notes, does not know what breaks in your discipline, and has no three years of data behind it. None of these four is a feature, and none can be acquired in a quarter.
Three years of data
Since 2023, at 15+ universities, in real courses with real students. The conversations coded and analysed. This is the one thing money cannot speed up.
We know what breaks
It differs by discipline: in programming it is the purpose of the weekly assignment, in law it is the reading itself. That came out of the data, not out of market research.
We read formulas and figures
Engineering and science material is largely formulas, diagrams and derivations. Processing decides page by page whether the extracted text is enough, or whether the page has to be looked at as an image.
One corpus, many assistants
The same processed knowledge serves a course tutor, an institutional assistant and an external client. That is an architectural decision, and it has to be made at the start.
From learning to administration.
AI creates value when it brings the knowledge, help, and services people need closer in real university situations.
Help when students need it.
The same questions keep returning while educator attention is limited.
Student support grounded in educator-selected sources and control.
More time for educators' work.
Information requests, repeated explanations, feedback, and preparation take time away from higher-value work.
Support for recurring information, explanation, feedback, and preparation.
Reliable answers across systems.
The information exists, but it has to be found across policies, documents, and systems.
Academic and institutional guidance grounded in selected sources.
A shared framework for institutional AI use.
It is unclear what AI can be used for, which sources it relies on, and how its impact should be measured.
Strategy, governance, training, and measurable adoption.
We match the situation with a platform capability, professional service, or custom development — you do not need to choose the category in advance.
What works can grow.
The institution does not need to solve every AI task at once. What proves valuable in real use can connect to more courses, units, or processes.
A real situation
We select a course, process, or problem where AI can provide tangible help.
A measurable pilot
With real users, we examine adoption, value, and what needs to change.
An institutional capability
A proven solution can expand to more courses, units, or processes — with permissions and human oversight.
University knowledge and services, closer at hand.
GoSchool connects AI to selected knowledge and — where required — existing systems. We do not place a new central system above the university: we add only the connections and access the task requires.
Knowledge
Answers draw on selected course materials, institutional documents, and other authorised sources.
Systems
We design the required connections through APIs, MCP, or custom integration. Availability depends on the capabilities of the systems involved.
Control
Roles, permissions, and — where required — human approval govern access.
We learn from real use.
GoSchool’s first systems went live in university courses. Since then, we have worked with educators and students to understand what makes AI genuinely useful.
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.
We also study how people use it.
Usage data and university research help us understand when AI genuinely supports learning and educators’ work.
We shape the next step together.
Show us the goal, problem, or initiative already underway. The conversation reveals whether strategy, training, the platform, a pilot, integration, or custom development should follow.
- Strategy
- Training
- Platform
- Integration
- Custom development