The next educational design
Simulate interventions, predict outcomes, and generate governance reports. The AI platform for university decision-makers.
See Pulse & Studio in Action
Attractiveness analysis, dropout prediction, and ANVUR report generation
Built by academics, for academics
Founded by researchers with firsthand experience in higher education, we combine AI expertise with a deep understanding of academic needs.
The Problem
Educational institutions collect vast amounts of data but struggle to extract real value from it. Decision-making at the institutional level still largely relies on intuition rather than evidence.
Our Solution
Didaflow is a simulation environment to test teaching and governance interventions on virtual cohorts instead of real students.
Explore the Flow
Visualize course bottlenecks and test curriculum interventions in real time.
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Expected Outcomes
Didaflow increases enrolment, retention, and employability, translating educational quality into measurable economic value.
Enrolment conversion rate
€3.0M / pp
Incremental revenue
Second year progression
€1.0M / pp
Retained value
Employment rate
€150k / pp
Incremental revenue
Estimates based on conservative benchmarks from a large European public university (~150,000 students), assuming an average annual cost/revenue of €20,000 per student. Full methodology available on request.
Product Overview
Core analytics capabilities for educational data analysis, outcome prediction, and intervention simulation.
Analytics Dashboard
Import your data and build comprehensive views of student cohorts, enrollment trends, and performance metrics. Filter by degree program, year, or custom segments.
Outcomes Prediction
Identify critical teaching bottlenecks and course design issues. Interpretable factors help staff prioritize curriculum improvements.
Intervention Simulator
Test what-if scenarios before implementation. Compare baseline outcomes with simulated policy changes to make evidence-based decisions.
Three Lenses on Academic Performance
The Flow visualization analyzes your institution through three complementary perspectives, each revealing different improvement opportunities.
Attractiveness
Measure how effectively your programs attract and convert prospective students into enrolled learners.
- Application rates
- Conversion funnels
- Enrollment yield
Regularity
Track student progression through curriculum milestones and identify where students fall behind or drop out.
- Time-to-degree
- Credit accumulation
- Retention rates
Employability
Evaluate graduate outcomes and the effectiveness of career preparation within your academic programs.
- Placement rates
- Time-to-employment
- Salary benchmarks
Frequently Asked Questions
What data is required to get started?▼
Didaflow operates on existing administrative data.
Minimum required inputs typically include:
- Enrolments and student careers
- Exam attempts, credits, and outcomes
- Basic demographic and programme metadata
No surveys or additional data collection are required. Historical depth (3+ cohorts) improves predictive accuracy but is not mandatory.
How accurate are the predictions?▼
Performance varies by use case and data quality, but typical results include:
- Early bottleneck detection: actionable signals available within the first semester
- Cohort-level forecasts: stable trends with low variance across academic years
- Explainability: all predictions are accompanied by interpretable drivers
Models are validated on historical cohorts and calibrated with institutional benchmarks.
How does Didaflow support decision-making, not just analytics?▼
Didaflow is designed for operational and strategic use, not dashboards alone.
It supports:
- Early-warning lists for tutors and coordinators
- Scenario analysis (e.g. impact of +1 pp retention)
- KPI monitoring aligned with ANVUR / OECD indicators
- Evidence generation for accreditation, funding, and policy reporting
How do you handle privacy, security, and compliance?▼
Privacy and security are built in by design.
- Fully GDPR-compliant
- Data minimisation and purpose limitation
- Role-based access control
- Pseudonymisation and audit logging
- EU-based hosting or on-premise options available
No student-level decisions are automated.
What outcomes can we expect?▼
Under conservative assumptions (+1 percentage point improvements):
- Enrolment conversion: €3.0M/year incremental revenue
- Second year progression: €1.0M/year retained value
- Employment rate: €150k/year incremental revenue
(for a large institution ~15k new enrolments/year)
Actual impact depends on baseline performance and scale.
Conservative, evidence-aligned estimates based on OECD and Eurostat averages, assuming improvements enabled by AI-based guidance, early-warning analytics, and targeted interventions.
1 OECD baselines from Education at a Glance 2025 and Eurostat employment statistics (recent graduates, ages 20–34).
2 Economic values assume ~€20,000 PPP annual expenditure per tertiary student and GDP per employed person of ~€70,000.
3 Estimates represent incremental effects relative to baseline performance and exclude structural capacity expansion.
Integrations & Compliance
Compatible with major university systems.