Education.

Platforms That Scale With Enrolment, Not Against It

Education providers carry a particular combination: demand that grows unpredictably, budgets that do not, sensitive student data, and information-security obligations that increasingly have to be evidenced rather than asserted.

We modernise the infrastructure underneath the learning experience - usually without touching the application your staff and students already know how to use.

What We Do for Education Providers

Modernisation and AI that respect the systems your teaching already depends on.

Cloud migration and containerisation that scale with enrolment rather than ahead of it.

Infrastructure as code, so environments are reproducible, auditable and cheaper to run.

Security controls and operational reporting that support ISO 27001 and similar obligations.

Private AI over course materials and student records, inside infrastructure you control.

Practical AI education for staff, students and industry partners.

Scaling a Learning Platform Without Rewriting the Application

We moved Inventorium's bespoke Moodle platform to a containerised AWS environment - improving scalability, reliability and security without changing a single line of application code.

Client

Inventorium

Industry

Education

Challenge

A virtual-machine environment that had become complex and costly to maintain, with a growing user base and ISO 27001 information-security objectives to support.

Solution

Digit Move - cloud architecture and AWS migration

Inventorium provides a specialised learning platform for school and vocational students who find conventional education difficult to access - remote learners, homeschooling families and students needing flexible arrangements. Its bespoke Moodle platform ran on a virtual-machine environment that was becoming increasingly complex and costly to maintain.

We designed an AWS-native architecture that modernised the infrastructure without requiring changes to the Moodle application itself: containerisation with Amazon Fargate, infrastructure as code using AWS CDK, Amazon RDS for managed databases, CloudFront for content delivery, and AWS WAF with supporting security controls. We also secured AWS migration funding to help manage the cost of the transition.

The platform now scales more efficiently, operational cost and management effort are down, security is stronger, and Inventorium is better placed to protect sensitive student information and produce the reporting its ISO 27001 compliance requires - completed without changing a single line of Moodle source code.

"I am thoroughly impressed with Moots' work, as they delivered a gold-plated, highly engineered solution without breaking the bank." - Lyn Bosanquet, COO, Inventorium

Fast-Tracking Practical and Responsible AI Adoption

The Fast Track AI workshop, delivered through Flinders University and Innovation Central Adelaide - where to start, what to adopt, and what to avoid.

Client

Flinders University / Innovation Central Adelaide

Industry

Innovation & Industry Engagement

Challenge

Organisations no longer struggle to understand what AI is. The harder questions are where it creates genuine value, what to adopt, what to avoid, and how to protect sensitive information.

Solution

Fast Track AI - AI education, opportunity identification and implementation guidance

We delivered the Fast Track AI workshop to local businesses through Innovation Central Adelaide, structured around three practical questions: where should an organisation start, what should it adopt, and what should it avoid?

Participants examined potential use cases through the lenses of business value, process readiness, data sensitivity, implementation feasibility and organisational risk, with emphasis on starting from a defined operational problem rather than adopting AI for its own sake. The workshop also covered the differences between public, semi-private and private AI, and what each means for data security, control and compliance.

Attendees left able to identify high-value processes, assess whether their workflows and data were ready, distinguish useful AI applications from technology-led distractions, and prioritise a practical first use case.

Your platform should scale with demand - and still stand up to an audit.