If you are a municipal education department struggling to evaluate quality across dozens or hundreds of schools — this project developed a web platform that collects and analyzes feedback from students, parents, and teachers automatically. It claims to remove 95% of the time and cost spent on traditional paper-based quality surveys. The system was tested in over 200 schools with 50,000 students and 5,500 teachers.
AI-Powered Feedback Platform That Helps School Networks Improve Education Quality
Imagine every school in a city trying to figure out what's working and what's not — but doing it with paper surveys, spreadsheets, and guesswork. Edurio built a web platform that collects feedback from students, parents, and teachers, then uses machine learning to automatically spot patterns and recommend what to fix first. Think of it like a "Yelp for schools" but private, data-driven, and designed for education administrators who manage hundreds of schools at once. They tested it with over 200 schools and 50,000 students before the project even ended.
What needed solving
School networks — whether government-run, municipal, or private — have no efficient way to systematically collect and analyze quality feedback from students, parents, and teachers across all their schools. Traditional paper-based surveys are slow, expensive, and produce data that sits in filing cabinets rather than driving decisions. Education administrators end up making policy based on anecdotes rather than evidence.
What was built
Edurio built a web-based SaaS platform that automates feedback collection from students, parents, and teachers across school networks. Key deliverables include a refined international-market-ready version of the platform with machine-learning-based diagnostics, advanced text analysis, and student group analytics — totaling 9 deliverables over the project lifecycle.
Who needs this
Who can put this to work
If you are a private school network that needs consistent quality benchmarks across campuses — Edurio provides machine-learning-based diagnostics that compare schools within your network automatically. Instead of hiring consultants for each campus review, the platform runs continuous feedback cycles and flags priority areas. It was refined specifically for international market testing across different education systems.
If you are an EdTech company providing school administration tools but lacking deep feedback analytics — Edurio's machine learning engine handles advanced text analysis and student group diagnostics that go beyond simple survey tools. The platform completed 100,000 surveys in pilot testing, demonstrating it can handle large-scale data collection across school networks.
Quick answers
What does this platform cost to implement?
The project data does not include specific pricing. However, Edurio is designed as a web platform (SaaS model) for school networks, meaning costs would likely scale with the number of schools. The project claims to remove 95% of time and financial resources compared to traditional paper-based survey methods.
Can this scale to large school networks?
Yes. During pilots, Edurio was tested in over 200 schools with 50,000 students and 5,500 teachers, completing 100,000 surveys. The project's target was to scale to school networks containing 30,000 schools within 5 years of market launch.
What is the IP and licensing situation?
Edurio is developed and owned by EDURIO LTD, a UK-based SME. As a single-partner SME Instrument project, all IP remains with the company. The platform is accessible via edurio.com, suggesting a direct licensing or subscription model.
Does it work with existing school IT systems?
The project describes Edurio as a web platform with streamlined user flow, suggesting browser-based access without heavy IT integration. Based on available project data, specific technical integration details with existing school management systems are not documented.
What kind of analytics does it actually provide?
The platform uses machine learning for automatic diagnostics, student group analysis, and advanced text analysis of open-ended responses. It generates recommendations for educational priority areas and future actions, going beyond simple survey summaries.
How mature is this technology?
Edurio went through 3 prototype versions before the EU-funded project. During the project, they produced a refined version specifically for international market testing. The project is closed (ended December 2019), and the company website remains active at edurio.com.
Who built it
This is a solo SME project — EDURIO LTD from the UK is the only partner, which is typical for SME Instrument Phase 2 funding designed to help individual companies scale their products. The 100% industry composition means there are no academic partners in the consortium itself, though the project mentions collaborations with UCL Institute of Education and Oxford University Press as external partners. For a business buyer, this means you are dealing directly with the product company, not navigating a complex multi-partner research consortium. Decisions and IP sit with one entity.
EDURIO LTD is a UK-based SME. Contact information can be found through their website at edurio.com.
Talk to the team behind this work.
Want an introduction to the Edurio team to discuss deployment in your school network? SciTransfer can arrange a direct meeting with the coordinator.