Recent project / fintech product
Puntsave — Betting that keeps your stake
Challenge
On a normal bookie a losing stake is gone. Australian punters needed a product that still offers real odds on real sports while keeping lost stakes as their own savings — with clear fees and built-in controls.
Approach
Design and build Puntsave end-to-end: deposit split between Play Balance and locked Savings, live sports and racing markets, win-unlock / lose-save mechanics, a transparent 4% fee, Australian-hosted data, and responsible-gambling tools from day one.
Outcome
A waitlist-ready Australian product at puntsave.com.au where losing bets fund the user’s own locked Savings instead of the house, with upfront fees and tools to stay in control.
Visit Puntsave
Recent project / trading intelligence
Mollibot — Autonomous Trading Intelligence
Challenge
Algorithmic trading ideas need to survive rigorous statistical and real-market scrutiny before they can be trusted with live capital.
Approach
Combine AI and machine learning with historical testing, Monte Carlo analysis, out-of-sample validation, live forward testing, and continuous risk/strategy monitoring.
Outcome
A continuously evolving research and execution engine that promotes only validated strategy improvements and prepares successful systems for automated brokerage execution.
Visit Mollibot
Recent project / industrial AI · Vision in beta
Machine Pilot — Cited Industrial Intelligence
Challenge
Plant knowledge is scattered across PLC exports, manuals, SOPs, drawings, and experienced operators’ heads, making faults slower to resolve and valuable operational IP vulnerable to disappearing when people leave.
Approach
Build a plant-specific AI layer that ingests operational sources, answers plain-language questions across machines and documents, supports HMI-photo analysis, and grounds every factual response in ordered, auditable citations while enforcing hard safety refusals. Machine Pilot Vision™ (industrial camera AI, in beta) extends the same product family with continuous edge camera monitoring — learning a baseline of normal operation, classifying progressive versus sudden deviation, and attaching video evidence to alerts.
Outcome
A shared operational knowledge system that gives operators and maintenance teams clear, sourced troubleshooting guidance in seconds, preserves plant know-how, and scales from one-machine pilots to multi-site operations — with Vision (beta) adding camera-based machine-health and performance signals without requiring PLC access for OEE-style insight.
Visit Machine Pilot Vision (beta)Projects
Selected AI and automation projects
Challenge, approach and outcome — how Aideveloper delivers AI agents, automation and intelligent systems for Australian organisations. Patterns below are drawn from real delivery; where composites are used they are labelled.
Resort Access & check in iOT platform (Ai service agent )
The Resort Access & Check-In IoT Platform is an innovative solution powered by an AI service agent, designed to transform the hospitality experience. This platform simplifies the guest journey by enabling contactless check-ins and seamless access to resort facilities. Utilising IoT technology, it integrates with smart door locks and other connected devices to ensure secure, efficient, and personalised service. The AI service agent further enhances the experience by providing real-time support, automating administrative tasks, and anticipating guest needs. This forward-thinking approach not only improves operational efficiency but also enhances guest satisfaction, setting a new benchmark for resort management.
Mental Health & Rehab platform (ai agent)
The AI-Based Patient Monitoring & Rehab Program is a groundbreaking solution designed to support individuals in building healthier lifestyles and overcoming harmful habits. Powered by advanced AI algorithms, the program tracks user behaviours, provides personalised insights, and suggests actionable strategies for improvement. With real-time data analysis, it identifies patterns and potential triggers, offering tailored support to encourage sustainable progress. A key feature of the program is its seamless linkage to medical professionals, enabling users to receive expert guidance and intervention when needed. This integrated approach ensures a comprehensive and supportive experience, bridging technology and professional care to drive long-term success in rehabilitation and wellness.
Ai route optimisation - Rideshare & Off Grid remote GPS navigation
The AI Route Optimisation Technology developed by aideveloper.com.au is an advanced solution designed to revolutionise navigation for rideshare services and off-grid remote travel. This cutting-edge system leverages AI to calculate the most efficient routes in real-time, reducing travel time and fuel consumption while enhancing overall efficiency. For rideshare services, it ensures optimised passenger pickups and drop-offs, balancing cost-effectiveness with convenience. In remote, off-grid environments, the technology integrates with GPS systems to provide reliable navigation, even in areas without traditional network coverage. By combining AI intelligence with robust navigation capabilities, this solution delivers unmatched reliability and efficiency for both urban and remote applications.
treasury estate wines - iot machine learning / inventory monitoring
AIDeveloper’s Hardware and Software Solution for IoT Inventory Monitoring
AIDeveloper designed and implemented an end-to-end hardware and software solution for Treasury Estate Wines’ IoT-enabled inventory monitoring system. On the hardware side, AIDeveloper deployed state-of-the-art IoT sensors capable of tracking key metrics such as inventory levels, temperature, humidity, and movement across storage and distribution facilities. These sensors are robust, energy-efficient, and seamlessly integrated with existing infrastructure to ensure minimal disruption.
On the software side, AIDeveloper developed a customised platform powered by machine learning algorithms to process and analyse the data captured by the IoT devices. The platform provides real-time insights, predictive analytics for demand forecasting, and automated alerts for anomalies or low inventory levels. It features an intuitive dashboard for centralised monitoring and management, enabling Treasury Estate Wines to make data-driven decisions quickly and efficiently.
ridescore application - iot, mobile , admin
AIDeveloper engineered the RideScore program, an innovative initiative aimed at promoting active school commutes among students. This comprehensive solution encompasses both hardware and software components to ensure safety and encourage participation.
Hardware Development:
AIDeveloper deployed smart beacons at school entry and exit points. These beacons interact with Bluetooth-enabled devices carried by students, such as tags attached to bicycles or scooters. As students pass by the beacons, the system records their arrival and departure times, ensuring accurate monitoring of their journeys.
Software Development:
On the software front, AIDeveloper developed a user-friendly platform that processes data from the beacons in real-time. The system sends instant notifications to parents, confirming their child’s safe arrival at school. Additionally, it tracks each student’s travel patterns, rewarding consistent active travel with incentives to encourage ongoing participation.
This integrated hardware and software solution not only enhances student safety but also promotes healthier lifestyles by encouraging walking, biking, or scooting to school. The RideScore program exemplifies AIDeveloper’s commitment to leveraging technology for community well-being.
Mobile application - client server monitoring
AIDeveloper’s Server Monitoring App for NEXTDC Clients
AIDeveloper partnered with NEXTDC to develop a powerful and intuitive app that enables clients to monitor their servers and infrastructure in real-time. The app integrates seamlessly with NEXTDC’s data centre ecosystem, providing clients with unparalleled visibility and control over their operations.
Octfolio asbestos auditing mobile application (in house)
AIDeveloper’s Development of the In-House Auditing iPad Application for Octfolio
AIDeveloper collaborated with Octfolio to create a bespoke in-house auditing iPad application, tailored to streamline their auditing and compliance processes. Designed with Octfolio’s specific operational needs in mind, the application ensures accurate data collection, seamless workflow management, and real-time reporting for their projects.
The development process began with a deep dive into Octfolio’s requirements, focusing on user-friendly functionality for auditors in the field. AIDeveloper designed an intuitive interface that allows users to easily input data, capture photos, and annotate reports directly on-site. The application supports offline functionality, ensuring uninterrupted auditing even in remote areas without network connectivity.
Consulting tech start ups - Bond transformer program
Craig Aitken, the founder of aideveloper.com.au, has had the privilege of consulting and mentoring students at the prestigious Bond University Transformer program. This innovative initiative is dedicated to fostering entrepreneurial thinking and empowering students to develop groundbreaking ideas and solutions. Drawing on his extensive experience in AI and technology development, Craig has guided students through the complexities of turning concepts into actionable projects. His mentorship has not only helped aspiring innovators navigate real-world challenges but also inspired them to embrace cutting-edge technology and think strategically about its application in various industries.
How to read these cards
Each card uses Challenge · Approach · Outcome. Tags show Agents, Automation, Integrations or Software. Sector links point to industry pages where they exist.
Tags: Agents · Automation · Integrations · Software · Document AI | Industries hub → Agents →
Agents · Integrations
Resort access & check-in service agent
SECTOR
Hospitality / ops
Challenge
Guests and staff juggled access, check-in and service requests across disconnected IoT and front-desk tools.
Approach
An AI service agent paired with an access/IoT platform — structured requests, status updates and escalation to humans when needed.
Outcome
Cleaner guest handoffs and fewer lost service tickets — staff keep control of exceptions.
Agents · Automation
Mental health & rehab support agent
SECTOR
Medical →
Challenge
Clinicians and coordinators were buried in intake forms, follow-ups and status updates across tools.
Approach
An agent that guides intake, drafts structured notes for review, and writes approved updates into the care workflow.
Outcome
Faster intake turnover and clearer admin–clinical handoffs, with auditability on automated steps.
Automation · Agents
Route optimisation & remote GPS assist
SECTOR
Transport →
Challenge
Planners rebuilt runs late when orders changed; drivers and customers got inconsistent ETAs.
Approach
Optimisation assists plus an agent that explains change impacts, drafts notifications and writes approved plans back to the stack.
Outcome
Faster replan cycles and clearer customer communication — humans still own final dispatch.
Automation · Integrations
Treasury Estate Wines — IoT / inventory ML
Challenge
Inventory and machine signals lived in silos; teams rekeyed status into separate reports.
Approach
IoT monitoring plus ML assists that surface inventory and equipment signals into operational views with human review.
Outcome
Earlier visibility on stock and equipment issues without unsupervised production decisions.
Software · Integrations
RideScore — IoT, mobile & admin
SECTOR
Education-adjacent →
Challenge
Operators needed mobile capture, admin oversight and IoT telemetry in one operational loop.
Approach
Custom software with IoT feeds, mobile capture and an admin layer — AI assists where triage and status made sense.
Outcome
A coherent ops surface for field and admin teams, with clear ownership of exceptions.
Software · Integrations
Client–server monitoring application
SECTOR
Infrastructure →
Challenge
Client environments needed reliable monitoring without a brittle alert flood.
Approach
A mobile/client–server monitoring app with structured alerts and integration into the ops stack.
Outcome
Clearer incident visibility for operators — humans decide response priority.
Software · Document AI
Octfolio — asbestos auditing (iPad)
SECTOR
Property →
Challenge
Field auditors needed structured capture of asbestos-related audits on-site, not paper after the fact.
Approach
In-house iPad auditing application for structured field capture, sync and review workflows.
Outcome
More consistent audit packs and fewer gaps between site capture and office records.
Consulting · Custom
Bond Transformer — startup consulting
SECTOR
Startups →
Challenge
Early-stage teams needed practical technical direction before over-building AI features.
Approach
Consulting through the Bond Transformer program — scoped build advice, stack choices and delivery realism.
Outcome
Clearer build priorities and fewer dead-end prototypes for participating startups.
Have a similar challenge?
Tell us about the systems, volume and risk constraints. We will map a practical agent, automation or integration path — or start with an AI business audit.