— The Problem
Where education institutions lose time and students
Education technology has improved dramatically — but many institutions still run on legacy student management systems, paper-based processes, and manual reporting that consumes hours administrators and educators could spend on students.
Administration consuming educator time
Enrolment processing, timetabling, attendance tracking, grade entry, and parent
communication — all manual. Educators spend hours each week on administration that should be automated,
reducing the time available for teaching.
At-risk students identified too late
Students on a trajectory toward dropout are often identified after they've already failed
— when attendance has already collapsed and grades have already fallen. AI can identify the pattern weeks
earlier, when intervention still works.
No institutional intelligence
Enrolment trends, completion rates, programme performance, and faculty utilisation
tracked in spreadsheets or not at all. Leadership makes decisions without the data that would improve them.
Disconnected systems
Enrolment in one system, LMS in another, timetabling in a third, finance in a fourth. No
unified student record. No single view of where each student is and what they need.
Poor student and parent experience
Students check grades, attendance, and deadlines through different portals or by emailing
staff. Parents receive updates by letter. The digital experience expected by students in 2024 is rarely
delivered.
Manual compliance and accreditation
Generating compliance reports, accreditation documentation, and regulatory submissions is
a manual process that consumes significant administrative capacity — data that should be assembled
automatically from existing records.
— What We Build
Education technology from enrolment to outcome
Student Management System
Custom or Zoho-based student lifecycle management — enrolment, timetabling,
attendance, grade tracking, and progression. Single student record accessible across every team that
interacts with the student.
AI Early Warning & Intervention
ML model trained on historical attendance, grade, and engagement data identifies
students at dropout risk weeks before the pattern becomes irreversible. Automated tutor alerts with
recommended intervention actions.
Institutional Intelligence BI
Enrolment pipeline, completion rates by programme, faculty utilisation, student
satisfaction, and revenue per programme — in a live dashboard for leadership. Replace the quarterly Excel
review with daily data.
Enrolment & Admissions Automation
Online application to enrolment — document collection, eligibility checking, offer
generation, and fee payment — automated end-to-end. Admissions teams process more applications with fewer
staff.
Student & Parent Portal
Mobile-first portal for students to access grades, attendance, timetable, assignments,
and announcements. Parent visibility where appropriate. Communication via in-app messaging — replacing
email chaos.
AI Teaching Assistant & Chatbot
RAG-based AI trained on course materials answers student questions 24/7. Not a
replacement for educators — a first-line resource that handles the repetitive "what's on the exam?"
queries and surfaces complex questions to faculty.
— Integrations
Connects the education technology stack
Zoho CRM & Creator
Student lifecycle and custom application workflows
LMS Platforms
Moodle, Canvas, Blackboard data integration
Power BI / Zoho Analytics
Institutional intelligence dashboards
Fee & Finance Systems
Tuition billing, payment plans, financial aid
Communication Platforms
Automated email, SMS, and in-app messaging
AI Early Warning
Predictive model on attendance and grade data
Compliance Reporting
Automated accreditation and regulatory reports
Identity & SSO
Single sign-on across all student-facing systems