The Problem with Reactive Education
Early Intervention Begins with Early Insight.
Most education systems respond to failure after it happens. A student misses targets, a review is triggered, and an intervention is planned — weeks or months after the window of easiest impact has passed.
SpEdPrognostics flips that sequence. By analysing patterns across the entire SPEED LDS platform, it surfaces risk weeks before it becomes visible — giving educators time to act when action is most effective.
6 weeks
Average lead time on at-risk identification
92%
Prediction accuracy on goal non-completion
40%
Improvement in intervention targeting
3×
More efficient specialist resource allocation
AI Intelligence Suite
Six Dimensions of Predictive Intelligence
Learning Forecasts
Projects each learner's academic trajectory over the next term or year, based on current progress rate and intervention history.
Risk Detection
Flags learners showing early indicators of disengagement, goal stagnation, or deteriorating outcomes before they become crises.
Growth Prediction
Identifies learners who are likely to accelerate with the right intervention — not just those at risk of falling behind.
Goal Recommendations
Suggests the next most impactful goal for each learner based on prior achievement and population-level outcomes data.
Intervention Suggestions
Recommends the highest-efficacy intervention approach for each learner profile — drawn from SpEdTrack's evidence-based library.
Resource Planning
Forecasts therapist caseload, specialist staffing needs, and resource room demand weeks in advance based on predicted enrolment trends.
Under the Hood
How SpEdPrognostics Works
Collect
Assessment, planning, and intervention data from SPEED LDS
Analyse
Pattern recognition across 100K+ learner profiles
Learn
Continuous model improvement from new outcomes
Recommend
Contextual, actionable next-best-action suggestions
Predict
Forward-looking risk and opportunity forecasts
Improve
Educator feedback refines future recommendations
Decision Support
Better Decisions for Every Stakeholder
SpEdPrognostics surfaces the right question at the right time — for whoever is looking at the dashboard.
Questions SpEdPrognostics answers for Teachers
Which student needs priority attention this week?
What intervention should I try next?
Is this learner ready to be reassessed?
Responsible AI
AI You Can Trust with Children's Data
We believe AI in education must be transparent, human-overseen, and rigorously fair. Here is exactly how we achieve that.
Transparency
Every recommendation comes with a plain-language explanation of why it was made and what data it draws on.
Human Oversight
Educators confirm or override every AI suggestion. SpEdPrognostics informs decisions — it never makes them.
Privacy First
All models run on anonymised, aggregated data. No individual learner data is shared externally or used to train third-party models.
Enterprise Security
SOC 2 Type II-ready architecture with data residency options, end-to-end encryption, and government-grade access controls.
Bias Mitigation
Models are regularly audited for demographic bias. Recommendations are tested across language, gender, and socioeconomic subgroups.
Measurable Intelligence Outcomes
6 weeks
Earlier identification of at-risk learners
40%
Improvement in intervention success rates
3×
Better resource allocation accuracy
85%
Educator trust in AI recommendations
See the Future of Inclusive Education
Experience live AI predictions in your own school data — in a 30-minute personalised demo.