Skip to main content


Our Australian team of data scientists, machine learning engineers and technologists work closely with clients in utilities, water, food and defence: large, asset-rich organisations with complex processes and critical assets. We are driven to support decision-makers by creating contextual intelligence from complex data, giving you a strong decision advantage.

Data Science as a Service - icon

Data Science as a Service

SpiralData is a multidisciplinary team of strategically-minded data scientists, machine learning engineers and technologists. We work with you to deploy, test and retrain AI solutions in the field, evaluate their effectiveness and prove their impact into your operational environment so they can begin enhancing decision-making ‘in the wild’.

AI Algorithms as Product - icon

AI Platform as a Service (AI-PaaS)

Leverage our battle-hardened AI platform that has solved a variety of complex industry problems. Enshrining best-practice governance controls it is also self-serve and can be personalised to meet the needs of your Data Science team, helping your organisation attract and retain talent while delivering business value with AI.

Fully Managed Solutions - icon

Fully Managed Solutions

Our AI platform-as-a-service (AI PaaS) enables you to tackle any big data (Internet of things platforms, data lakes and analytics) and artificial intelligence workloads (descriptive, predictive and prescriptive statistical and mathematical models.) The unified platform has oversight and control but enables practitioners to self-serve their MLOps stack with unlimited personalised tooling options.

In-House Support Desk - icon

In-House Support Desk

Once we are satisfied that our AI solution is doing the job it was designed to do, we embark upon a program of ongoing support provided by our Australian team of technologists. We can also upskill your team so they can develop and maintain the solution going forward if this is the preferred option.

We Solve Complex Problems using Data Science

Using Telemetry and Artificial Intelligence to Facilitate Water Management, Intelligence & the Water Economy
There are +12,000 meters, of various makes and models, across South Australia. As part of this challenge, DEW Water Licensing Branch was seeking to demonstrate
Internet of Things non-urban water meters water usage water resource management
Valve integrity testing using internet-of-things (IoT) and machine learning (ML)
Water Utility
Alexandrina Council is located on the Coorong, Lower Lakes, and Murray Mouth region. It is an environmentally significant area designated as a Wetland
Valve Testing Isolation Valves Industry 4.0 Machine Learning
Transient Detection in Water Networks using Machine Learning
asset fatigue
The complexity of a water pipe network can be compared to that of arteries, veins and capillaries in the human body. In recent years there has been increasing
reduce main breaks distributed water systems data science big data
Vacuum Sewer Rainfall Ingress and Valve Optimisation
In 2021, Alexandrina Council’s Water Department set an aspiration to become the smartest regional wastewater utility in Australia built on the back of
100% Accuracy to Detect Rainfall Ingress +20% Efficiency Improvement Vacuum Sewer Optimisation
Dynamic Planning Model for Processing Sustainable Seafood
Clean Seas grow their Hiramasa Kingfish from egg to hatchling to adult in the pristine waters of Spencer Gulf, South Australia. Once the fish have reached
Planning Analytics 75% Reduction in Planning Effort Jedox
Predictive Maintenance for a Water Reuse Utility
“While we have mature monitoring capability through our SCADA system - it cannot predict pump wear. We were keen to see if the operational data managed
Predictive Maintenance Pump Wear Prediction Machine Learning Water Utility
Machine Learning for Utility Networks
There has never been a more critical time in the water sector, as the industry faces challenges across climate, urbanisation and economics. While current
Choke Prediction IoT-to-AI Reference Architecture Machine Learning Water Utility
Analytics for Sustainable Seafood
Clean Seas Seafood Ltd (ASX:CSS) is the global leader in full cycle breeding, production and sale of Yellowtail Kingfish. With a goal of providing the
Planning Analytics Real-time Jedox
Data Strategy at Alexandrina Council
Alexandrina Council services more than 7000 customers and treats 700ML of wastewater across 5 townships in regional Australia. It is a highly complex operational
Data Strategy IoT-to-AI Reference Architecture Water Utility
Custom AI Software
If you’re a telecommunications Business Development Manager (BDM), trying to quickly find good quality leads, it is hard work. BDMs spend up to 50% of
Artifical Intelligence IoT-to-AI Reference Architecture Custom Software
Internet of Things at Alexandrina Council
Alexandrina Council has the 3rd largest wastewater network in South Australia. The wastewater utility is responsible for connecting, treating, storing
Artifical Intelligence Strategy Internet of Things Water Utility
Reporting, Analytics and Planning Solution
RAMCAR is involved in manufacturing, distribution, wholesale, retail and the recycling of lead acid batteries. It faces challenges due to its multiple
253 Days Recovered Annually 150% ROI in year
Data Strategy in Supply Chain
RAMCAR is a multi-national lead acid battery business with a competitive market share. Its senior leaders weren’t getting critical reports quickly or efficiently
Data Strategy Stakeholder Alignment Capability Map
Smart Networking at Flinders University
"Our first Icebreaker in 2016 brought over a thousand people together in an event that delivered an estimated $2.9 million in forward value for South Australia,"
Artifical Intelligence IoT-to-AI Reference Architecture Machine Learning
previous arrowprevious arrow
next arrownext arrow

Need help starting your organisation's journey with artificial intelligence and machine learning?

Book a Call