MYER
Developed and maintained scalable Warehouse Resource Management software.
Machine Learning Development Services
Advanced AI & ML Development technologies for scalable business growth
Anglicare
Mobile app with ARCHIBUS integration kiosk stand software development.
Visuals2Go
Cross-platform mobile & tablet app for disabled people.
NobleOak
A complex financial model with end-to-end and AI customised user journey.
SydneyWater
Custom software integration between SAP ERP and InEight (project controls software).
Hillsong
Mobile donations form with payment gateway integration.
Metro Finance
Designed and developed a web application to manage & streamline shifts.
Site360
SaaS platform – Geofenced visitor management & fully customisable workflow forms.
Acorn Rentals
Custom accident replacement vehicle system that automates the entire rental process.
TaxToday
Streamlining instant refunds with highly secure cloud native application.
AI-Powered Machine Learning Development for Future-Ready Businesses
Designpluz is a leading machine learning development company in Australia, offering end-to-end ML solutions tailored to the unique needs of businesses. We develop industry-specific solutions powered by advanced ML models, deep learning, and large language models (LLMs) to help organisations improve productivity, automate business processes, and transform data into actionable insights.
Our machine learning development services enable intelligent decision-making, optimise operations, and uncover valuable business opportunities. From identifying complex business challenges to developing cost-effective, scalable solutions, we deliver machine learning applications that drive measurable business growth and long-term efficiency.
Case Studies
We pride ourselves on the work we deliver and the outcomes we achieve for our clients everyday.
Our commitment to client satisfaction is evident through our genuine 5-star
google reviews
The Designpluz team has allowed us to accelerate the time to market for our platform, translating to money in the bank.
David Philips
Biode
I’ve recently worked with the Designpluz team to develop our site, they have taken a complex offline model and built this into our website.
Sara Gill
NobleOak
I was looking for a design team that could build me a new website and solidify our brand in the market. If I were building a critical website in future, this would be my go-to team.
David Gleig
Bedbug Wholesale
Thx for helping us with our website design and development for our new venture. You made it really easy for us to consider the options available and delivered a great website which presents our services and capability succinctly and professionally to our target clients.
Manish Goklaney
Verveo
The team went above and beyond to launch earlier than expected and handled every challenge with patience and care. They were always responsive, easy to communicate with, and proactive in finding solutions.
Florencia Nicogossian
Topaz Furniture
Working with a dedicated project manager who was our single point of contact made communication seamless and efficient, which allowed us to go live on time and on budget
Mark Camilleri
Bremick
CRC have had a great experience with Designpluz on the development and implementation of our new website. They were thorough in their work making sure our specifications were met with accessibility in mind, and they provided a wonderful contemporary look.
Gwen Rogers
Community Restorative Center
Designpluz is an amazing company to work with! Everyone in their team is lovely to work and collaborate with. They always action task efficiently to make beautiful end results.
Amarni Story
New Age Veneers
Working with Designpluz was a great experience to build our Strathfield Plaza Website. Response time was commendable and overall result was great. Thanks to Mia and the Team!!
Matthew Woo
Strathfield Plaza
An experienced team, a bunch of great people, and simply amazing work. Designpluz was very patient with us as we chopped and changed our project
George Khoury
Knomis
Transparency is key in any partnership, and Designpluz excels in this aspect. They're upfront about their processes, timelines, and costs, which instills trust and confidence in their services.
Trinh Bui
Newington Lane
Priya and Mia have assisted us with our website updates and have been so professional, listening to what we wanted and providing us with updates throughout the process. ...they are so skilled at what they do and excellent at communicating with us on our level!
Joanne Baldwin
KU Legal
Priya and the team were fantastic to work with. They took the time to understand our brief, and deliver amazing results with high attention to detail.
Tommy Lim
SF Capital
The team at Designpluz are fantastic - quick responses; excellent work and just so easy to deal with particularly for website support. They are my go to for any website work.
Anthony Gray
MEAUST
Their answers to questions and general communication was very good which made the whole process a little easier.
Rob Archibald
Emjay Products
They are approachable, responsive, and have consistently taken the time to understand our marketing needs, accommodating all our requests with professionalism and efficiency. Looking forward to continued growth with Designpluz.
Jocelyn Szot
Nover
Our Numbers Tell Our Story
Our commitment to quality and client success, by the numbers.
18+ Years
Delivering Digital Solutions for Australian Businesses
45+ Specialists
Software Engineers, Architects, Web Developers, UI/UX Designers & Analysts
110+ Reviews
Verified Google Reviews from Australian Clients
100%
Australian Owned
Sydney-Based Leadership & Governance
ISO 9001 & 27001
Certification Program Currently Underway
1,000+ Projects
Successfully Delivered Across Multiple Industries
50K+ Users Daily
Across Australia and New Zealand, on platforms We Design and Support
$40M+ Annually
Processed Through Mission-Critical Financial Platforms
AI & ML Development Services We Offer
ML Strategy and Consulting
One of the biggest challenges for businesses is to discover real-world applications for machine learning. We evaluate your objectives, data and infrastructure and provide you with a bespoke ML approach that reduces risk and generates tangible business results.
Custom Machine Learning Model Development
We design and develop custom machine learning models tailored to your unique business requirements and train them using your business data to enable accurate predictions, intelligent automation, and data-driven decision-making.
MLOps & Model Deployment
Implementing machine learning models can be complex. We apply MLOps concepts to automate deployment, monitoring, and retraining, and to optimise scalable, reliable, production-grade ML solutions.
Recommendation Engine Development
Our team develops intelligent recommendation engines that learn user behaviour and deliver personalised products, content, and services within your AI-powered apps to improve customer experiences.
Predictive Analytics Solution Development
Designpluz develops machine learning solutions using predictive modelling and data mining techniques to analyse market trends and customer behaviour, and improve fraud detection through intelligent data processing.
Computer Vision Application Development
Our machine learning experts use deep learning and machine learning technologies to extract insights from visual data and support data-driven decisions.
Natural Language Processing Solutions
Using NLP solutions, we help you automate text and speech analysis, build chatbots, and extract structured insights for increased productivity and streamlined administration.
Integration with Existing Systems
Disconnected ML solutions reduce business value. We seamlessly integrate machine learning models with your existing software, APIs, CRM, ERP, and cloud platforms for efficient workflows and automation.
Model Training and Testing
A lack of data quality can compromise the accuracy of the model. We create datasets, train, validate and thoroughly test machine learning models to guarantee consistency and useful business information.
AI-Powered Automation Solutions
Automate repetitive tasks with our AI-powered automation services that streamline workflows, improve operational efficiency and support intelligent business processes.
Benefits of Machine Learning Development Services
Faster and Smarter Decision Making
Machine learning processes complex business data far faster than manual analysis, giving your team timely, evidence-based insights to support decisions and strategy.
Early Fraud and Risk Detection
We build predictive models that identify unusual transactions, behaviours, and risk patterns early, helping you reduce losses and act before small issues become costly ones.
Scalable Automation Across Departments
Scalable automation helps businesses adapt to growing operational demands while maintaining synchronisation, consistency, and process efficiency across multiple departments.
Faster Document and Data Processing
We use machine learning to automate document processing and extract valuable information from large datasets, reducing manual effort, improving accuracy, and helping your business process information faster.
Better Customer Experiences
Machine learning technologies analyse customer behaviour patterns to deliver personalised experiences and improve customer engagement through data-driven insights.
Higher Accuracy in Forecasting
Machine learning models improve forecasting accuracy by analysing historical patterns, real-time data, and changing business trends to support proactive business planning.
The core technologies powering our
app solutions.
Building future-proof bespoke applications tailored to specific business needs requires the right tools and technologies.
Why Choose Designpluz
Custom Machine Learning Solutions
We provide bespoke machine learning development services in Australia tailored to your business objectives, workflows, and data, helping you automate processes, uncover insights, and achieve measurable business outcomes.
Scalable, Secure & Production-Ready Models
Our machine learning solutions are built using scalable, secure architectures that support growing datasets, evolving business requirements, and seamless deployment across cloud and enterprise environments.
Transparent Delivery Process
We provide clear project timelines, transparent costs, and regular communication at every stage, ensuring your machine learning solution is delivered efficiently and ready for deployment.
Experienced AI & Machine Learning Specialists
We bring together expertise in machine learning, data science, software engineering, and industry best practices. Alongside our wider AI development services, we deliver intelligent solutions that address complex business challenges with confidence.
End-to-End Development Support
We look after all the stages of the machine learning lifecycle, ranging from strategy and model development through to deployment, including MLOps, optimisation, and continuous support in order to guarantee long-term performance and business value.
Business-Focused ML Strategies
We align machine learning strategies with your business goals, helping you solve specific challenges, improve efficiency, and uncover new opportunities. Every solution is designed to deliver meaningful business value and measurable results.
Meet your expert team
Priya Songappan
Founder / Creative Head
Leads strategy, UI/UX, and the digital marketing team with 20 years of experience. Priya has worked with businesses of all sizes across diverse industries to drive sustainable business growth through design, strategy, and execution. She is deeply involved in projects from start to finish, as this is where her passion lies.
Jag Kandasamy
Director - Software, AI & Data
Jag has over 20 years of experience in architecture and delivery of enterprise software, large scale websites, eCommerce platforms and ERP integrations. He specialises in secure, scalable cloud architecture on Azure and AWS, ensuring reliable delivery and high-performance solutions from strategy through to deployment and support.
Shaun Cooper
Technical Project Manager
Experienced project manager from a technical background with great communication & client management skills. Shaun has a transparent approach towards projects and has a great eye for detail, resulting in perfection. Approaches projects in a proven, methodical manner, ensuring timely delivery and accurate budget management.
Subanki Chandrasekaran
Technical Business Analyst
Subanki is a Technical Business Analyst with over 15 years of experience helping organisations deliver successful digital solutions. She enjoys turning complex business challenges into clear, practical requirements and works closely with clients, designers, and developers to deliver solutions that are intuitive, scalable, and aligned with business goals.
Murugesan Thangavel
Head of Technology and Delivery
Leading the delivery of enterprise software, web, mobile, and cloud solutions, Murugesan brings over 15 years of industry experience. He brings a wealth of knowledge in Microsoft technologies, Azure, AWS, microservices, and enterprise integrations, enabling companies to modernise their operations with secure, scalable, and high-performing digital solutions.
Veerakumar Krishnasamy
Senior Software Tester
Veerakumar has 7+ years of software testing experience and is well-versed in software automation, manual testing, API testing, database testing, and CI/CD integration. He has extensive experience in Selenium, Playwright, Java and C# and contributes to achieving reliable enterprise software releases quickly and at top quality.
Muthukumar Mathivanan
Senior Frontend Developer (Angular)
Having developed responsive web applications for over 9 years across healthcare, digital wellness, and skilled labour management, he has established strong expertise in Angular development. He has a keen interest in frontend architecture, user experience, and performance, which aids in providing high-quality digital solutions and engaging user experiences.
Our Framework for Machine Learning Development
Step 1
Discovery & Requirement Analysis
Our machine learning solution architects discuss and analyse the workflow, requirements and challenges to identify suitable machine learning strategies for proper AI implementation.
Step 2
Data Collection & Preparation
Data engineers at Designpluz collect relevant data, clean and organise it, and convert the data into a unified format to ensure accurate model training and performance.
Step 3
Model Design & Development
We select suitable algorithms and design custom machine learning models to support intelligent automation and adaptive AI-powered business solutions.
Step 4
Testing & Performance Validation
Once the design is complete, our machine learning engineers test model accuracy, benchmark performance, and validate predictions to ensure reliable and unbiased outputs.
Step 5
Deployment & System Integration
We deploy AI and ML solutions using secure implementation practices, API integration, and third-party connections to ensure seamless system connectivity and uninterrupted workflow efficiency.
Step 6
Continuous Monitoring & Improvement
Machine learning systems are continuously monitored and optimised using real-time performance insights, updated data and evolving business requirements to ensure long-term efficiency.
Frequently Asked Questions
How is machine learning different from traditional software development?
Unlike traditional software development, which is based on predefined rules, machine learning learns from data patterns to make predictions, automate decisions, and continuously improve performance over time.
What technologies are used in machine learning development projects?
Machine learning development projects often use technologies such as Python, TensorFlow, PyTorch, cloud-based ML infrastructure, data processing frameworks, and AI model deployment tools.
How much does machine learning development cost in Australia?
Most ML projects range from about AUD $25,000 for a proof of concept to AUD $100,000+ for full production, depending on data, model complexity and integrations. We scope your goals first and give a clear estimate.
Do we need a lot of data to start machine learning?
Not always. We assess your existing data first, then use pre-trained models or build a data collection process where data is limited, so you can start small and grow your machine learning use over time.
Can machine learning models be integrated with existing business systems?
To ensure smooth operational synchronisation, machine learning models can be integrated with existing business systems and IoT app development projects via cloud-based deployment, third-party integrations, and API interactions.
What is the role of MLOps in machine learning development?
To ensure that AI systems function reliably over time, MLOps ensures that AI systems function reliably over time by incorporating model deployment, performance monitoring, automation, optimisation, and ongoing updates.
How long does it take to build and deploy a machine learning model?
A proof of concept typically takes 4-8 weeks, and full production deployment 3-6 months, depending on scope, data quality and integrations. We agree on clear milestones upfront so you always know what’s next.
How do you keep our data secure in machine learning projects?
We build on secure architectures and follow Australian privacy requirements, so your data stays well protected through training, testing and deployment. With controlled access and clear documentation, your data stays secure at every stage.
