The average time between a student's first disengagement signal and an academic advisor's response is 43 days. By then, the learner is already gone.
SomaAI monitors 127 behavioural signals continuously — login patterns, content consumption, assessment performance, peer interaction — and surfaces risk to instructors and advisors the moment patterns shift. Not 43 days later. At Week 1.
From the first login to certificate completion, SomaAI provides the intelligence layer that connects learner behaviour to institutional action.
Graph Attention Networks trained on 3 million student journeys surface disengagement risk in real time, per student, per course — with explainable reasoning.
When assessment reveals a knowledge gap, SomaAI generates a remedial path in seconds — specific modules, in the right sequence, for that learner.
Institution-wide dashboards break down completion rates, engagement scores, and risk distribution by cohort, course, instructor, and demographic stratum.
Identify which modules drive completion and which cause drop-off. Data-driven recommendations for content teams — at the item level, not the course level.
SomaAI sits alongside your existing LMS and begins generating risk signals from day one. No new infrastructure. No migration.
LTI 1.3 and xAPI connectors for Moodle, Canvas, Blackboard, or a custom LMS. Historical data ingested in the first 48 hours.
Our team calibrates the GNN on your institution's historical outcomes. Fairness gates validated across your student demographics before go-live.
Real-time risk signals, advisor dashboards, and automated learner nudges go live. Weekly outcome reports delivered from Week 1.
Within one semester, our academic support team was intervening three weeks earlier on average. Foundation Year retention went from 68% to 84%. SomaAI is the only tool that tells us why a student is at risk — not just that they are.
30-minute demo · No commitment · Deployment feasibility assessment included