Our clients have a lived experience of the complex problems they face. They know that reactive break-fix and manual processes result in inefficiencies, asset failure and unacceptable risk.
But often the data landscape is clouded by unknowns and blind spots, creating a tangled nest of problems which are too complex for humans to identify, understand and solve. This complexity makes planning and decision-making difficult.
We provide organisations with a decision advantage: a clear path through complex problems with AI-driven, actionable intelligence that has immediate impact.
While every situation is different, our clients typically see the following returns as a result of working with us:
10 to 70%
20 to 40%
in seconds, not weeks
Turn complex data into contextual intelligence
The value of data lies not in the data itself, but in the decisions that it shapes.
Effectively harnessed, Big data and AI allows us the opportunity to proactively identify the root cause, prioritise issues for resolution and ultimately improve the decisions stakeholders need to make.
Our algorithms are trained to identify issues such as substandard workmanship, wear and tear, and inefficiencies. Not only does this measure-and-learn process run 24-7, it picks up problems that even the best humans can sometimes miss due to inattention, fatigue or subjectivity.
A design-first approach
Our co-design process enables us to clarify your vision and design fit-for-purpose solutions. Our approach is fast, iterative and agile, tailoring the solution to support the decisions your stakeholders need to make.
Our platform ingests data from diverse sources at scale and includes an artificial intelligence workbench for rapid algorithm selection, training and deployment. Its visualised output gives your team at-a-glance insights to enhance decision making.
High speed inference
Our solutions are renowned for their high speed inference: on average between 8 and 20 seconds to decrease your decision-making latency. Every day we inch a step closer to real-time predictions.
Gold standard service
All projects are supported by mature project management, reporting and risk mitigation processes. And because our solutions are designed, built and supported by the same people, you get project continuity from beginning to end.
Designed with asset-rich organisations in mind
Our artificial intelligence and machine learning services support complex, asset-intensive organisations to:
• Predict and plan for defects and failure events
• Detect hidden anomalies in real time
• Optimise complex processes, assets and ecosystems
• Minimise environmental, safety and financial risks
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We solve 'new ground' problems
SpiralData combines a unique combination of data science, machine learning and technology expertise. And because we support our clients across the full solution lifecycle - from co-design and build, right through to optimisation and support - our algorithms are deployed and retrained in the field: setting the stage for compounding value in speed, accuracy and efficiencies.
Many of our clients start to see significant returns within weeks, not years.
Our services include:
SpiralData had a large impact on IceBreaker, [it] changed the discussion from a traditional networking event to a data-driven event that drives valuable connections between people... the possibilities for the platform are really exciting.
Matt Salier, Director Innovation, Flinders University
We wanted to ensure a strategic approach was well understood before considering procurement. We needed to cover the integration of existing and new technology into a future state that would deliver the necessary benefits we expect of an IoT project.
Gary Lyons, Sustainability Manager, Alexandrina Council
RAMCAR is a supply chain business. SpiralData has delivered a solution – on-time and on-budget – to help us better understand our selling assets and their performance, as well as benchmarking that performance across sales, financials and logistics.
Matt Palmer, Director of Finance, Ramcar ANZ
We were open to collaborating with SpiralData because we see the maturing of data analytics in water utilities has the potential to drive increased service quality and efficiencies while reducing corporate, environmental and public risk.
Justin Kahl, State Manager, SAGE Automation
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 by SAGE could have data science techniques applied by the SpiralData team to solve this for us."
Chris Burgess, Manager Operations, City of Playford
Our purpose is to deliver arguably the best raw fish to customers around the world. Our business is now able to respond faster to change and/or disruptions in strategy with fast, accurate and insightful planning of our processing facility."
Rob Gratton, CEO, Clean Seas Seafood