Why We Built FactBeat
Over the past two years, AI tools like OpenAI's ChatGPT have become deeply embedded into how students learn, research, write, and solve problems. In many university environments, AI is no longer experimental - it is part of the default academic workflow.
Yet despite this shift, most universities currently have very little control over how AI systems interact with their own institutional content.
Lecture notes, tutorial sheets, module materials, and teaching resources are often disconnected from the AI tools students actually use. At the same time, institutions typically have very limited visibility into:
- how students are using AI,
- what course content is being surfaced,
- where students are struggling,
- or whether AI is reinforcing learning or gradually replacing it.
This is the problem FactBeat was created to solve.
What Is FactBeat?
At its core, FactBeat is an institutional AI access layer.
It sits between university content and the AI systems students already use, allowing institutions to integrate their own teaching materials directly into AI interactions while retaining governance, visibility, and control.
Rather than relying purely on generic internet knowledge, AI systems can retrieve:
- lecture materials,
- module-specific context,
- approved explanations,
- tutorial references,
- and other institutionally-controlled content.
The result is AI grounded in the actual educational environment the student is learning within.
The Problem With Current Educational AI
Today, universities are increasingly losing visibility into the learning process itself. Students are already using AI extensively, yet most of those interactions happen through external systems optimised for general-purpose consumer usage rather than pedagogy.
That creates several problems. AI explanations may conflict with course teaching. Institutions cannot easily see where students are struggling. And universities have limited ability to shape how AI behaves in educational contexts.
Most universities today are effectively adapting themselves around consumer AI products rather than having infrastructure designed specifically for institutional learning environments.
FactBeat is designed to help reverse that dynamic.
FactBeat Is Infrastructure, Not Another AI Model
FactBeat is not trying to build another frontier AI model.
Instead, it focuses on the missing infrastructure layer around AI in higher education.
The platform is designed to work alongside the AI tools students and staff already use, helping universities to control access to institutional content, shape how material is surfaced, maintain governance and align AI interactions with educational objectives.
We believe the key challenge in higher education is no longer model capability. Modern AI systems are already extremely powerful. The real challenge is institutional integration.
A UK-First Approach To Educational AI
FactBeat was founded in London by a team of Computer Science PhDs and lecturers who encountered these issues directly while teaching at Imperial College London.
We also believe a broader strategic issue is emerging for UK higher education.
As AI becomes part of the educational layer itself, universities risk becoming increasingly dependent on a small number of large overseas technology companies whose systems are optimised primarily for global consumer engagement rather than institutional learning.
We believe universities should retain meaningful control over how AI integrates into education, how institutional knowledge is surfaced, and how learning outcomes are shaped over the long term.
FactBeat is therefore designed not simply as an AI product, but as UK-built institutional infrastructure for the AI era.
Why This Matters
We believe AI will become a permanent part of higher education.
The question is no longer whether students will use AI. They already do.
The real question is whether universities will have the infrastructure needed to integrate AI responsibly and retain meaningful control over how it affects learning.
FactBeat was created because we believe that infrastructure layer is currently missing.