"Agile Infoways team delivered exceptional iOS and Android apps with responsive support and outstanding problem-solving expertise."
- Rob Machado
IndustriesEducation
AI for Education
EdTech Software Development, Reinvented With AI
Agile Infoways is an edtech software development company building LMS platforms, adaptive learning systems, e-learning content delivery, and student analytics for schools, universities, and training providers seeking measurable learning outcomes at scale.
Industry Challenges
The Pressures Facing Modern Education Providers
Disengaged learners, widening attainment gaps, overwhelmed educators, and rising dropout rates are challenging every institution — yet most still rely on one-size-fits-all approaches that cannot scale.
6 key challenges
01
Student Engagement Decline
Post-pandemic engagement rates remain 23% below pre-2020 levels. Passive lecture formats, irrelevant content delivery, and lack of immediate feedback are driving disengagement at every stage of education.
02
Learning Gap & Personalisation
A single classroom can span three to five years of attainment levels, yet most institutions still deliver identical content to every learner — leaving high achievers bored and struggling students further behind.
03
Teacher & Admin Workload
Educators spend up to 46% of their working week on non-teaching tasks — grading, reporting, scheduling, and compliance — accelerating burnout and reducing the quality time available for direct student support.
04
Dropout Risk Detection
By the time a student's at-risk status becomes visible through traditional monitoring, intervention is often too late. Early warning signals in attendance, engagement, and assessment data go unread at scale.
05
Academic Integrity
The proliferation of generative AI tools has fundamentally shifted the academic integrity landscape — with institutions struggling to update assessment frameworks and detection capabilities fast enough.
06
Accessibility & Inclusion
Learners with disabilities, English as an Additional Language students, and those in low-connectivity environments remain underserved by traditional content delivery — widening equity gaps institutions must close.
Healthcare Services
Education ServicesWe Deliver
End-to-end AI and software solutions for schools, universities, and training providers — from personalised learning platforms to student analytics, content generation, and automated administration.
Adaptive Learning Engine
AI-driven learning pathways that continuously assess each student's knowledge state, pace, and learning style — dynamically adjusting content difficulty, format, and sequence to maximise retention.
Real-time knowledge gap detection & content sequencing
Multi-modal content delivery (video, text, interactive, audio)
Spaced repetition & retrieval practice scheduling
LMS integration (Canvas, Moodle, Blackboard, D2L)
AI Tutoring & Mentoring
Always-on AI tutors that provide personalised Socratic dialogue, worked examples, and hints — giving every student the benefit of one-to-one tutoring regardless of institution resources.
Subject-specific LLM tutor with curriculum alignment
Hint scaffolding & misconception identification
Progress reporting to educators & parents
Multi-language support for EAL learners
Student Risk Analytics
Early warning dashboards that aggregate attendance, assessment, engagement, and behavioural signals to identify at-risk students weeks before traditional methods — enabling timely, targeted intervention.
Multi-signal dropout risk scoring (attendance, grades, LMS activity)
Automated tutor & counsellor intervention alerts
Cohort-level trend analysis & benchmarking
Outcome tracking post-intervention dashboard
AI Content Generation
Curriculum-aligned content generation tools that allow educators to create lesson plans, assessments, differentiated materials, and revision resources in minutes rather than hours.
Curriculum-mapped question & assessment generation
Differentiated resource creation (SEN, EAL, G&T)
Lesson plan & scheme-of-work drafting
Reading level adaptation & plain language transformation
Assessment & Proctoring AI
AI-assisted marking, automated feedback generation, and integrity monitoring tools that reduce grading time while providing richer, faster feedback to every learner.
Automated short-answer & essay marking with rubric alignment
AI-generated personalised feedback narratives
Generative AI detection & academic integrity flagging
Remote proctoring with behavioural anomaly detection
Administrative Automation
End-to-end automation of admissions processing, timetabling, compliance reporting, and parent communications — freeing educators and administrators to focus on students, not spreadsheets.
Automated admissions screening & application scoring
Intelligent timetabling & room allocation
Ofsted / accreditation report generation
Parent communication & attendance notification automation
Use Cases
Real Outcomes from Education AI Deployments
How schools, universities, and training providers used our AI to improve attainment, reduce workload, and keep more students on track.
01Case Study
34%Attainment Gap Reduction
Adaptive LearningK-12Mathematics
Adaptive Maths Learning Platform
The Challenge
A multi-academy trust with 14 secondary schools where 41% of Year 9 students were working below expected attainment level in mathematics — with teachers unable to provide individual support across class sizes of 32.
The Outcome
Adaptive learning engine deployed across all 14 schools improved average maths attainment by 1.8 grade levels in 6 months. Teacher planning time reduced by 38%. GCSE mock pass rates increased from 54% to 79%.
02Case Study
91%At-Risk Detection Recall
Risk AnalyticsStudent RetentionHigher Education
University Dropout Early Warning
The Challenge
A Russell Group university with a 21% first-year dropout rate — costing £6.3M in annual tuition revenue loss — with pastoral teams responding reactively rather than preventatively.
The Outcome
Multi-signal risk model trained on 7 years of student data achieved 91% recall on at-risk identification 8 weeks before withdrawal. First-year retention improved from 79% to 89% within two academic years.
03Case Study
2.8xCompletion Rate Improvement
Corporate TrainingAI TutoringCompliance L&D
AI Tutoring for Corporate L&D
The Challenge
A global professional services firm delivering compliance training to 28,000 employees across 14 countries — with 60% of staff failing to complete mandatory modules and assessment pass rates averaging 58%.
The Outcome
AI tutoring assistant personalised learning pathways for each employee. Completion rates reached 96%. Average assessment scores improved from 58% to 83%. Training delivery cost reduced by 44%.
04Case Study
48hrsTarget Feedback Turnaround
Auto-MarkingFeedback AIHigher Education
Automated Assessment & Feedback
The Challenge
A higher education provider with 6,200 students where marking turnaround averaged 48 days — breaching institutional SLAs, delaying student progression, and consuming 30% of faculty time.
The Outcome
AI marking pipeline handling 70% of short-answer and structured response assessment. Turnaround reduced from 48 to 6 days. Faculty time reclaimed: 1,200 hours per semester. Student satisfaction scores up 22 points.
Proven Impact
The Numbers Behind Education AI
Measurable outcomes from AI deployments across K-12, higher education, and corporate learning environments.
Top Result
34%
Attainment Gap ReductionAcross adaptive learning deployments in secondary schools
91%
At-Risk Detection Recall8 weeks before withdrawal in higher education
2.8x
Training Completion RateCorporate L&D with AI-personalised pathways
48hrs
Feedback Turnaround Targetvs. 48-day average before AI marking deployment
Ready to Transform Education with AI?
Book a free 45-minute AI discovery session with one of our education AI specialists.
Before You Adopt
AI in Education
What educators and institutions ask before adopting AI — the real benefits and risks, impact on teachers, student data privacy, whether adaptive learning works, academic integrity, and getting started.
8 questions answered
01
Should our institution adopt AI — what are the real benefits and risks?
Used well, AI personalizes learning, flags at-risk students early, and cuts educator admin time; used carelessly, it risks bias, over-reliance, and integrity problems. The answer isn't all-or-nothing — adopt it deliberately, with educators in control and clear guardrails. Start with one measurable outcome, as institutions in our case studies did.
02
Will AI replace teachers, or support them?
AI handles the repetitive load — grading, drafting materials, flagging who needs help — so teachers spend more time actually teaching and mentoring. It can't replace the relationship, judgment, and motivation a great educator provides. Most schools deploy AI as a teacher copilot that augments staff rather than substituting for them.
03
How do we keep student data private and FERPA/COPPA compliant?
Student data — often minors' — demands the strictest handling. We deploy privately with encryption, role-based access, and audit logging, never training third-party models on student records, and align data retention to FERPA, COPPA, and GDPR. Secure infrastructure keeps every record contained and your institution compliant.
04
Does AI-personalized (adaptive) learning actually improve outcomes?
When built on real engagement and assessment data, yes — adaptive learning lifts retention by meeting each student at their level instead of teaching to the average. The key is measuring it: we track outcomes against control groups, not vanity metrics. Predictive models also flag who's falling behind before grades slip.
05
How should we handle AI-assisted cheating — detection or assessment redesign?
Detection alone is a losing race; the durable fix is redesigning assessment toward process, oral defense, and applied work AI can't fake, supported by integrity tooling where it helps. We build both — flagging plus authentic assessment workflows — as custom software tailored to your courses and policies.
06
How do we get started with AI, and what does it cost?
Start with one high-impact use case — tutoring, risk analytics, or admin automation — prove the outcome, then expand. Cost scales with scope, so a focused pilot is far cheaper than a full platform. Many institutions augment their team with dedicated AI engineers to move fast without permanent hiring.
07
Do you build custom LMS platforms?
Yes. We deliver LMS development for institutions that need SCORM and xAPI support, role-based access, analytics, assessment workflows, and integrations with SIS, CRM, or content libraries. The strongest platforms combine structured course delivery with assistant-led support, which is why many teams also add conversational AI for tutoring and helpdesk use cases.
08
How long does it take to build an education app?
Education app development usually takes 8 to 14 weeks for a focused learner or teacher app and 4 to 6 months for a broader platform with LMS features, analytics, and content workflows. Timeline depends on integrations, assessment logic, and compliance needs. Mobile-first institutions often pair the core build with mobile app development for faster rollout across devices.
Client Stories
Built With Trust. Proven in Production.
Hear directly from the leaders who partnered with us to ship AI-powered products, modernize platforms, and move faster than they thought possible.
"Great company with great management quality developers were really dedicated to get the job done in a timely cost-effective manner."
- Alexandar Salahsour
"They consistently delivers reliable, high-quality development solutions with exceptional communication, value, and trusted partnership."
- Joe Pellegrino, Jordan Pellegrino
Get In Touch
Let's Build Something Remarkable Together
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