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VFACE

Learning outcomes, improved.measurably

Personalised learning platforms, student analytics, and EdTech SaaS — engineered for institutions that measure what matters.

$7.3T
Global EdTech Market by 2030
35%
Improvement in Student Retention (avg)
60%
Reduction in Manual Admin Load

The challenge

Education providers must personalise learning at scale, with tighter budgets

One pace does not fit every learner

Adaptive content and early-warning analytics help each student without multiplying staff workload.

Fragmented campus systems

Admissions, LMS, finance and student services rarely share data. We unify them behind clean APIs.

Student data demands care

Minors, consent and safeguarding mean privacy and transparency have to be built in.

What we deliver

Personalised Learning Platforms

Adaptive curriculum engines that adjust content difficulty, pacing, and format in real time based on individual student performance data — improving engagement and completion rates.

Student Analytics & Early Intervention

Predictive models that identify at-risk students 6–8 weeks before dropout signals become visible to academic staff, enabling timely intervention and retention programmes.

EdTech SaaS Development

Custom learning management systems, assessment platforms, and virtual classroom infrastructure — built on scalable cloud architecture for institutions from 500 to 500,000 students.

Administrative Process Automation

AI-powered automation of enrolment, scheduling, grading workflows, and compliance reporting — reducing administrative burden so faculty can focus on teaching.

How we build

Engineering principles behind every engagement

Pedagogy leads, technology follows

Each feature is tied to a learning outcome agreed with academics.

  • Learning-outcome mapping
  • Educator co-design sessions
  • Evidence review of impact

Technology we work with

  • Moodle
  • Canvas LMS
  • Blackboard
  • LTI 1.3
  • xAPI
  • IBM watsonx
  • Azure
  • AWS
  • PostgreSQL
  • React
  • Power BI
  • Keycloak
  • Moodle
  • Canvas LMS
  • Blackboard
  • LTI 1.3
  • xAPI
  • IBM watsonx
  • Azure
  • AWS
  • PostgreSQL
  • React
  • Power BI
  • Keycloak

Your first 90 days

What you can expect, phase by phase

Days 1–30

Understand the journey

  • Learner and staff research
  • System and data inventory
  • Safeguarding and consent review
  • Outcome metrics agreed
Days 31–60

Build the first slice

  • Integration with LMS and SIS
  • Analytics prototype
  • Accessibility audit
  • Pilot cohort selected
Days 61–90

Pilot and refine

  • Live pilot across one faculty
  • Engagement and outcome tracking
  • Staff training and support
  • Roll-out plan

Client outcome

Education
National university network (12 campuses)

A Malaysian university network with 85,000 students was experiencing a 28% first-year dropout rate. Academic advisors managed 400+ students each, making proactive intervention practically impossible under existing manual processes.

34%Reduction in first-year dropout rate
8×More students reached per advisor
£2.4MAnnual revenue protected from attrition

VFACE deployed a student analytics platform integrating academic records, attendance, library access, and LMS engagement signals into a unified risk model. Advisors received weekly ranked intervention lists with recommended actions — shifting their role from reactive to proactive.

Solution

  • →Unified student data lake connecting 7 previously siloed administrative systems
  • →Predictive at-risk model with 83% accuracy at the 6-week early-warning threshold
  • →Advisor dashboard with prioritised caseload, intervention history, and outcome tracking
  • →Automated nudge communications system reducing manual advisor outreach by 60%
IBM Cloud
Python / scikit-learn
Apache Spark
Power BI
Microsoft Azure

Industry benchmark

Education programmes: VFACE vs typical

Student retention improvement

VFACE programmes14%
Industry average6%

Admin time spent on reporting

VFACE programmes35%
Industry average60%

Lower is better

Time to launch a new course online

VFACE programmes3 wks
Industry average8 wks

Lower is better

Figures are indicative ranges from typical engagements compared with published industry surveys. Results vary by scope and starting point.

Client voices

What our clients say

14%

better first-year retention

“Early-warning analytics let advisers reach struggling students weeks sooner, and they can see exactly why each student was flagged.”
Prof. L. ChenPro Vice-Chancellor, Education, University partner

Security and governance

Privacy, safeguarding and accessibility

FERPA and GDPR

Consent, retention and subject-access workflows built into every data flow.

Safeguarding

Role-based access and age-appropriate design for learners under 18.

Accessibility

WCAG 2.1 AA tested with assistive technology before release.

Academic integrity

AI use is transparent, logged and configurable by institution policy.

Frequently Asked Questions

Relevant Services

Artificial Intelligence

ML, NLP, and generative AI solutions

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