CSIRO is home to one of the largest applied AI capabilities in the world, with more than one thousand researchers working on a diverse range of AI and data science projects. Our researchers are using AI to tackle challenges from bushfire management to boosting agricultural productivity, improving cybersecurity and protecting our environments including the Great Barrier Reef.
We are working with industry partners to apply AI, for example, helping manufacturers use computer vision to increase production and ensure safety on the factory floor. CSIRO also provides consultancy, strategic advice and training services, including upskilling for generative AI adoption. We are also developing the frameworks and capability to lead the world in using this powerful set of technologies ethically and responsibly.
CSIRO’s AI expertise extends across a wide spectrum of research and application areas, including:
- Responsible AI
- AI training
- Agriculture
- Business
- Climate and environment
- Cybersecurity
- Engery
- Infrastructure
- Health
- Health and safety
- Manufacturing
- Minerals
- Quantum
- Science
- Space and astronomy
- Sport
- Strategic advice
- Reconnaissance and rescue
- And more
CSIRO also develops bespoke AI solutions tailored to your goals, whether you're streamlining operations, enhancing decision-making, or exploring new ideas. Get in touch for more information and to discuss opportunities.
Responsible AI
CSIRO is giving Australian industries a competitive advantage by creating innovative solutions to make Australia’s adoption of AI inclusive, safe, secure, and reliable. Our research includes:
- Responsible and safe AI engineering
- Explainable and human centred AI engineering
- AI for processes and supply chains
- Responsible and safe quantum AI engineering
CSIRO offers a variety of partnership opportunities to help integrate our responsible AI (RAI) research expertise into your organisation. Collaborate with us on tailored research and development projects to customise RAI solutions that meet your specific business needs.
You can also trial CSIRO’s responsible AI technologies and share feedback from your industry perspective. These technologies include trust-enhancing methods such as design and process patterns, as well as advanced tools for:
- Identifying and mitigating data privacy risks
- Detecting automated dark patterns
- Visualising bias and enabling explainable AI
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
Strategic advice
CSIRO is a trusted advisor in artificial intelligence (AI), offering strategic guidance to government agencies, industry sectors, and organisations seeking to adopt, scale, and deploy AI responsibly and effectively. CSIRO has authored key national reports that map the current and future landscape of AI in Australia. Notably, the Australia’s AI Ecosystem: Growth and Opportunities report, developed in partnership with the National AI Centre, provides a comprehensive overview of the country’s AI capabilities, challenges, and opportunities, helping stakeholders make informed decisions about investment and collaboration.
CSIRO also supports organisations in identifying high-impact AI initiatives through practical tools like the How to choose and invest in the right AI projects guide. This resource helps decision-makers assess readiness, align AI investments with strategic goals, and avoid common pitfalls. Complementing this, the Artificial Intelligence Roadmap outlines priority areas for national investment and development, offering a long-term vision for AI’s role in boosting productivity, sustainability, and resilience across sectors.
In emerging areas, CSIRO provides thought leadership through reports such as the Artificial Intelligence Foundation Models and Artificial Intelligence for Science. These publications explore the transformative potential of large-scale AI models and their application in scientific discovery, respectively, equipping policymakers and researchers with insights into frontier technologies.
CSIRO’s foresight capabilities are further demonstrated in the Our Future World report, which identifies megatrends shaping Australia’s future, including the growing influence of AI, and informs strategic planning across government and industry.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI training
Generative AI is transforming the way we work. The flexibility of these tools means that they can be integrated into workflows at multiple stages and in multiple ways. But even the most advanced tools require human oversight.
We offer training and professional development to upskill workers on generative AI and the responsible use of these tools.
Our multidisciplinary research team brings a combination of social and technical expertise to support AI upskills, workflow analysis and redesign of product and service delivery processes. We work across government, industry and society to ensure that technology adoption is aligned with human needs, value and organisation contexts.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for agriculture
CSIRO is applying AI to improve agricultural productivity, sustainability and resilience. AI-supported technologies are helping Australian farmers make better decisions, breed climate-resilient crops and livestock, and manage resources more efficiently. For example, the eGrazor collar system monitors livestock grazing patterns to support pasture management, while WaterWise technology provides real-time data on crop water needs to optimise irrigation.
CSIRO is also developing AI-driven breeding platforms and decision-support tools that help farm businesses adapt to climate variability and market pressures. This work is part of CSIRO’s ambition to ensure Australian agriculture thrives in changing climates and markets, supported by data-driven breeding, precision genomic technologies, and resilient farming systems.
Contact agfoodcomms@csiro.au for more information and to explore opportunities.
AI for business
To help businesses seize the AI opportunity responsibly and effectively, CSIRO has developed a suite of resources to support the adoption, scaling, and delivery of AI systems and services.
CSIRO’s AI project evaluation guide helps decision-makers identify initiatives that are more likely to succeed and deliver value, using a checklist that blends financial, ethical and strategic thinking.
CSIRO also offers workshops to upskill professionals in responsible use of generative AI tools, supporting public and private sector teams as they begin to engage with these technologies. To help companies develop trustworthy AI systems, CSIRO has created AI risk assessment frameworks that include ethical risk tools, responsible AI principles, and practical guidance for operationalising AI across sectors.
For innovative Australian start-ups and small businesses, CSIRO’s Kick-Start program provides matched funding and access to world-class research expertise to support R&D activities. The program helps businesses overcome common barriers, like limited technical capability or funding, by offering end-to-end support: from refining research questions to connecting with CSIRO experts and expanding the scope of innovation projects.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for climate and environment
CSIRO is using AI to solve complex environmental challenges, preserve fragile ecosystems, and prepare for climate-related emergencies. AI is helping scientists discover and monitor Australia’s biodiversity faster by rapidly analysing large biological datasets.
CSIRO is also developing AI-powered models to predict future climate risks, improve greenhouse gas accounting, and support decision-making for climate adaptation and mitigation. This includes Indra, a climate and hazard risk analytics primarily used for city planning. It models scenarios caused by climate change (including bushfires and floods), allowing users to explore potential risks and test adaptation strategies. This helps them prepare for future climate uncertainties and hazards.
Another is Spark, a state-of-the-art bushfire simulation tool that generates predictions, statistics, and visualisations of bushfire spread. It allows emergency response teams to effectively plan for and respond to fire emergencies in a variety of landscapes and climates.
CSIRO is also using generative AI to make water science more accessible. The Roper River AI tool (RRAI) is a generative AI system making complex water science data easier to explore and understand. RRAI's interactive map highlights key locations along the Roper River in response to queries, helping users visualise scientific insights and uncover patterns across diverse publications.
CSIRO’s Atlas of Water Science and Self Thinking Data Manifest also show how generative AI and geospatial visualisation can transform the way people explore, understand, and interact with environmental science.
Contact CSIRO enquiries for more information and to explore opportunities.
AI for cybersecurity
CSIRO is driving the next wave of cybersecurity innovation in Australia with cutting-edge AI research. Our researchers are creating tools with flexible autonomy for threat detection, response orchestration, privacy preservation, secure distributed computing, and resistance to quantum-enabled attacks. These technologies safeguard critical infrastructure and digital systems, ensuring they remain trustworthy and resilient amid an evolving threat landscape.
ThreatModelling-GPT is an AI-powered tool that automates the manual process of threat modelling in system design. It uses cybersecurity-specific LLMs to generate clear and accessible threat analyses aligned with universal frameworks like STRIDE and NIST 800-53. ThreatModelling-GPT helps developers and analysts in industries like finance and critical infrastructure identify vulnerabilities earlier, reduce costs, and improve communication across technical and non-technical teams.
In another collaboration with Penten, CSIRO is developing AI-powered deception technologies that deploy decoy data and cyber traps to detect and analyse attacker behaviour with minimal manual effort.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for energy
To support Australia’s net zero goals, CSIRO is using AI to deliver fast, scalable insights into residential energy use. In partnership with CoreLogic Australia, CSIRO developed RapidRate, an AI-powered tool that estimates energy ratings for established homes, an area traditionally lacking accessible data.
RapidRate uses property data and machine learning to assess energy consumption and carbon emissions from household systems like heating, cooling, lighting, and appliances.
By providing fast, scalable insights into home energy performance, RapidRate supports emission reduction goals and green finance opportunities. Banks are using it to assess the carbon footprint of mortgage portfolios, with broader applications planned across the property sector.
Contact anthony.wright@csiro.au for more information and to explore opportunities.
AI for infrastructure
As Australia’s infrastructure becomes smarter and more connected, CSIRO is using AI to keep it secure. We’re developing advanced tools to protect critical systems like energy grids, ports, and communications networks from cyber threats and other disruptions.
Our AI solutions identify vulnerabilities and enable rapid, adaptive responses. We focus on agile, resilience-by-design systems that evolve alongside emerging threats. This is especially important in sectors like 6G, digital energy, and supply chains, where even small disruptions can have wide-reaching impacts.
By modelling complex interdependencies across infrastructure systems, CSIRO creates proactive strategies that strengthen the security and agility of essential services.This helps ensure Australia’s critical infrastructure remains robust, responsive, and ready for complex, multi-hazard events.
Contact marthie.grobler@csiro.au and surya.nepal@csiro.au for more information and to explore opportunities.
AI for health
AI is transforming healthcare, and CSIRO is at the forefront. Our technologies help predict hospital demand, personalise treatment plans, and support faster, more accurate clinical decisions.CSIRO's Australian e-Health Research Centre (AEHRC) is the nation’s largest digital health research program. It's developing AI solutions that improve diagnosis, treatment, and the coordination of care across hospitals and clinics.
Tools like Pathling and OntoGPT are enabling smarter use of health data, while AI-powered chatbots are supporting patients with chronic pain, quitting smoking, Parkinson’s disease, dementia, and autism.
The CSIRO Total Wellbeing Diet's AI-generated goals have helped Australians achieve more sustainable weight loss. CSIRO is also applying AI to genomics, using advanced data analysis to identify disease risks and tailor treatments to individuals.
Whether it’s improving aged care, supporting mental health, or advancing Alzheimer’s research, CSIRO is using AI to make healthcare smarter, safer, and more responsive.
Contact Contact CSIRO enquiries for more information and to explore opportunities.
AI for manufacturing
CSIRO is developing AI-driven technologies to help Australian manufacturers become more productive, innovative, and sustainable. Our work spans robotics, intelligent IoT, digital twins, and real-time process optimisation, enabling smarter, more agile production systems.
Designed for seamless integration into industrial environments, these solutions enhance precision, safety, and the speed and volume of production.
From guiding robotic tool paths with machine vision to applying privacy-preserving AI to industrial data, CSIRO is addressing complex challenges in automation, additive manufacturing, materials design, and quality control.
We’re also designing AI systems that work alongside humans and enhance decision-making, improve safety, and enable people to focus on higher-value tasks. This human-centred approach ensures technology complements human expertise.
By combining expertise in physical and digital sciences, CSIRO is helping manufacturers customise products, optimise operations, and build globally competitive, future-ready businesses.
Contact Contact CSIRO enquiries for more information and to explore opportunities.
AI for minerals
Global decarbonisation goals are reliant on widespread adoption of low emission technologies which in turn are driving demand for critical minerals. In response to this urgent demand, CSIRO is harnessing the power of artificial intelligence and machine learning to create innovative tools and technologies designed to enhance mineral discovery and recovery.
In mineral exploration, CSIRO is applying machine learning in data analysis and predictive modelling to enhance decision making and reduce costs and risks associated with expensive exploration campaigns. AI approaches are being used to analyse and integrate vast geological, geochemical, geophysical, satellite, and historical drilling data to accelerate new discovery. These approaches are reported to identify subtle patterns and anomalies that may indicate mineral deposits, improving targeting accuracy and reducing exploration costs and environmental impacts by minimising unnecessary drilling.
A recent example is the CSIRO-developed LandScape+ software tool. Powered by machine learning, LandScape+ combines large data sets, publicly available and client-specific, to create exploration maps that overlay geochemical information with landforms. This AI-assisted tool is giving greenfield explorer valuable information to target areas of prospective interest.
AI techniques are also being adopted in mining to make operations safer, productive and more environmentally sensitive. AI controlled autonomous vehicles and equipment could further support continuous operations, boosting both productivity and safety. AI systems which monitor sensor data (temperature, vibration, wear patterns) on mining equipment can be used to predict equipment failures before they occur, reducing downtime and maintenance costs, while enhancing operational safety. AI can also be used to enhance worker safety and health monitoring and prediction to further prevent harm.
Contact Mark.Lindsay@csiro.au for more information and to explore opportunities.
AI for quantum
Quantum is one of our most promising growth opportunities to create new markets, new applications and new jobs in Australia.
In January 2025, CSIRO showed that quantum computing could significantly improve how we solve complex problems involving huge amounts of data. CSIRO integrated quantum computing with artificial intelligence to create novel quantum machine learning models. By using the unique properties of quantum computing including superposition and entanglement, researchers compressed and analysed a large dataset with speed, accuracy and efficiency that traditional computers today just couldn’t do.
In 2020, CSIRO developed a Quantum Roadmap to help facilitate the creation of a quantum industry in Australia, and to support the research community, government and industry to link-up, collaborate and commercialise.
CSIRO has also developed a Quantum AI Pattern Catalogue which provides a set of architectural solutions for quantum AI systems. Specifically, these system-level solutions aim to enhance system quality by addressing the inherent constraints of contemporary quantum hardware.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for science
Artificial intelligence (AI) has the power to revolutionise the way we approach scientific research, offering new opportunities for discovery and innovation. By leveraging AI, scientists could access tools that may help unlock some of our most complex and persistent scientific problems. As a world leading science agency, CSIRO is uniquely positioned to design a generative AI tool that supports and empowers scientists.
To seize this opportunity, CSIRO program Science Digital is building a multi-agent AI platform capable of accelerating the scientific research and discovery process. It will be built on a deep understanding of the challenges faced by researchers in various fields.
Science Digital brings together digital science experts from CSIRO's Data61, National Collections,, Agriculture & Food, Health & Biosecurity, Environment, Manufacturing, and Early Career Research (CERC) Fellowship program.
This short video showcases the capabilities of CSIRO’s Science Digital platform, Built by scientists, engineers, and AI product designers, the platform enables researchers to create intelligent workflows, simulate experiments, and analyse data with speed and precision.
Interested in learning more or exploring a partnership? Email ScienceDigitalProgram@csiro.au
AI for space and astronomy
CSIRO’s ASKAP radio telescope is used by researchers to create enormous maps of the Universe by repeatedly scanning the sky. To generate these maps ASKAP collects data at the rate of 100 trillion bits per second – more data at a faster rate than Australia’s entire internet traffic. Supercomputers, like Setonix at the Pawsey Supercomputing Research Centre, then store, calibrate and transform this data.
By using machine learning and AI tools, astronomers can circumvent the need to store massive quantities of data for long periods, be alerted to interesting data, or collect similar objects that may be in very different parts of the Universe.
CSIRO researchers have been using machine learning and AI to identify unusual shapes and structures that might point to new physical phenomena, like the images of ‘bent-tailed galaxies’ or ‘odd radio circles’, first discovered in ASKAP data for one of ASKAP’s nine survey science projects.
Machine learning and AI can also be used to classify different types of radio sources into categories, something that would take too long to do by eye. Similar machine learning and AI models can be applied to other fields where shapes and structures need analysis, such as medical imaging.
We acknowledge the Wajarri Yamaji as the Traditional Owners and Native Title Holders of Inyarrimanha Ilgari Bundara, our Murchison Radio-astronomy Observatory, where the ASKAP radio telescope is located.
Contact Ivy.Wong@csiro.au for more information and to explore opportunities.
AI for sport
We are partnering with the Australian Sports Commission (ASC) to help sports across Australia benefit from AI, from elite to community level.
As part of a three-year partnership with ASC the initial focus is on developing an AI for Australian sports roadmap which will provide a comprehensive overview of AI uses, identify cross-sport opportunities and set research priorities, as well as a responsible AI position statement and checklist which will help sporting and community stakeholders adopt AI responsibly.
This work follows on from two megatrend reports CSIRO developed with the ASC in 2013 and 2022 which outlined the megatrends that will reshape Australian sport and described the movement in the Australian sporting landscape over the last ten years.
AI is also used for working with digital athletes to trial and optimise strength and conditioning regimes, as well as test competitive play. This helps to increase the chances of winning as well as prevent injuries.
CSIRO and the Australian Sports Commission have also used digital humans to improve the performance of divers, swimmers and rowers. A good example of this is using a digital model of an Olympic swimmer to assess the coach’s proposed changes to his technique. Changes to swimming speed were assessed without unnecessarily disrupting training.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for robotics and autonomy
CSIRO’s world-leading robotics and autonomy capabilities are helping address some of the world’s most complex challenges, from coral reef restoration and space exploration to nuclear safety.
Our suite of drones, tracked and legged robots are equipped with advanced perception and mapping technologies, enabling them to operate as autonomous teams in complex, GPS-denied, and high-risk environments.
Our award-winning Navigation Stack allows fleets of robots to explore beyond communication range, while our Wildcat SLAM (Simultaneous Localisation and Mapping) software generates accurate 3D maps in real time.
These technologies have been proven in high-stakes scenarios such as the 2021 DARPA Subterranean Challenge and adapted for critical inspection tasks, including nuclear facility monitoring and underground exploration.
In space, CSIRO’s Multi-Resolution Scanner supports NASA’s Astrobee robot aboard the International Space Station, enabling autonomous 3D mapping of the station’s interior.
Back on Earth, we’ve developed a soft robotic gripper to automate the delicate process of cultivating baby corals in reef nurseries. Created in partnership with the Beyond Coral Foundation, this world-first innovation uses AI-driven design to gently handle fragile coral tissue, paving the way for scalable, sustainable reef restoration.
Based in Brisbane, Queensland, CSIRO’s Robotics team delivers foundational and applied research across diverse domains including agriculture, advanced manufacturing, mining, biodiversity and biosecurity, environmental monitoring, cultural heritage, and online learning.
Contact Alessandra.Stasi@data61.csiro.au for more information and to explore opportunities.
CSIRO is home to one of the largest applied AI capabilities in the world, with more than one thousand researchers working on a diverse range of AI and data science projects. Our researchers are using AI to tackle challenges from bushfire management to boosting agricultural productivity, improving cybersecurity and protecting our environments including the Great Barrier Reef.
We are working with industry partners to apply AI, for example, helping manufacturers use computer vision to increase production and ensure safety on the factory floor. CSIRO also provides consultancy, strategic advice and training services, including upskilling for generative AI adoption. We are also developing the frameworks and capability to lead the world in using this powerful set of technologies ethically and responsibly.
CSIRO’s AI expertise extends across a wide spectrum of research and application areas, including:
- Responsible AI
- AI training
- Agriculture
- Business
- Climate and environment
- Cybersecurity
- Engery
- Infrastructure
- Health
- Health and safety
- Manufacturing
- Minerals
- Quantum
- Science
- Space and astronomy
- Sport
- Strategic advice
- Reconnaissance and rescue
- And more
CSIRO also develops bespoke AI solutions tailored to your goals, whether you're streamlining operations, enhancing decision-making, or exploring new ideas. Get in touch for more information and to discuss opportunities.
Responsible AI
CSIRO is giving Australian industries a competitive advantage by creating innovative solutions to make Australia’s adoption of AI inclusive, safe, secure, and reliable. Our research includes:
- Responsible and safe AI engineering
- Explainable and human centred AI engineering
- AI for processes and supply chains
- Responsible and safe quantum AI engineering
CSIRO offers a variety of partnership opportunities to help integrate our responsible AI (RAI) research expertise into your organisation. Collaborate with us on tailored research and development projects to customise RAI solutions that meet your specific business needs.
You can also trial CSIRO’s responsible AI technologies and share feedback from your industry perspective. These technologies include trust-enhancing methods such as design and process patterns, as well as advanced tools for:
- Identifying and mitigating data privacy risks
- Detecting automated dark patterns
- Visualising bias and enabling explainable AI
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
Strategic advice
CSIRO is a trusted advisor in artificial intelligence (AI), offering strategic guidance to government agencies, industry sectors, and organisations seeking to adopt, scale, and deploy AI responsibly and effectively. CSIRO has authored key national reports that map the current and future landscape of AI in Australia. Notably, the Australia’s AI Ecosystem: Growth and Opportunities report, developed in partnership with the National AI Centre, provides a comprehensive overview of the country’s AI capabilities, challenges, and opportunities, helping stakeholders make informed decisions about investment and collaboration.
CSIRO also supports organisations in identifying high-impact AI initiatives through practical tools like the How to choose and invest in the right AI projects guide. This resource helps decision-makers assess readiness, align AI investments with strategic goals, and avoid common pitfalls. Complementing this, the Artificial Intelligence Roadmap outlines priority areas for national investment and development, offering a long-term vision for AI’s role in boosting productivity, sustainability, and resilience across sectors.
In emerging areas, CSIRO provides thought leadership through reports such as the Artificial Intelligence Foundation Models and Artificial Intelligence for Science. These publications explore the transformative potential of large-scale AI models and their application in scientific discovery, respectively, equipping policymakers and researchers with insights into frontier technologies.
CSIRO’s foresight capabilities are further demonstrated in the Our Future World report, which identifies megatrends shaping Australia’s future, including the growing influence of AI, and informs strategic planning across government and industry.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI training
Generative AI is transforming the way we work. The flexibility of these tools means that they can be integrated into workflows at multiple stages and in multiple ways. But even the most advanced tools require human oversight.
We offer training and professional development to upskill workers on generative AI and the responsible use of these tools.
Our multidisciplinary research team brings a combination of social and technical expertise to support AI upskills, workflow analysis and redesign of product and service delivery processes. We work across government, industry and society to ensure that technology adoption is aligned with human needs, value and organisation contexts.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for agriculture
CSIRO is applying AI to improve agricultural productivity, sustainability and resilience. AI-supported technologies are helping Australian farmers make better decisions, breed climate-resilient crops and livestock, and manage resources more efficiently. For example, the eGrazor collar system monitors livestock grazing patterns to support pasture management, while WaterWise technology provides real-time data on crop water needs to optimise irrigation.
CSIRO is also developing AI-driven breeding platforms and decision-support tools that help farm businesses adapt to climate variability and market pressures. This work is part of CSIRO’s ambition to ensure Australian agriculture thrives in changing climates and markets, supported by data-driven breeding, precision genomic technologies, and resilient farming systems.
Contact agfoodcomms@csiro.au for more information and to explore opportunities.
AI for business
To help businesses seize the AI opportunity responsibly and effectively, CSIRO has developed a suite of resources to support the adoption, scaling, and delivery of AI systems and services.
CSIRO’s AI project evaluation guide helps decision-makers identify initiatives that are more likely to succeed and deliver value, using a checklist that blends financial, ethical and strategic thinking.
CSIRO also offers workshops to upskill professionals in responsible use of generative AI tools, supporting public and private sector teams as they begin to engage with these technologies. To help companies develop trustworthy AI systems, CSIRO has created AI risk assessment frameworks that include ethical risk tools, responsible AI principles, and practical guidance for operationalising AI across sectors.
For innovative Australian start-ups and small businesses, CSIRO’s Kick-Start program provides matched funding and access to world-class research expertise to support R&D activities. The program helps businesses overcome common barriers, like limited technical capability or funding, by offering end-to-end support: from refining research questions to connecting with CSIRO experts and expanding the scope of innovation projects.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for climate and environment
CSIRO is using AI to solve complex environmental challenges, preserve fragile ecosystems, and prepare for climate-related emergencies. AI is helping scientists discover and monitor Australia’s biodiversity faster by rapidly analysing large biological datasets.
CSIRO is also developing AI-powered models to predict future climate risks, improve greenhouse gas accounting, and support decision-making for climate adaptation and mitigation. This includes Indra, a climate and hazard risk analytics primarily used for city planning. It models scenarios caused by climate change (including bushfires and floods), allowing users to explore potential risks and test adaptation strategies. This helps them prepare for future climate uncertainties and hazards.
Another is Spark, a state-of-the-art bushfire simulation tool that generates predictions, statistics, and visualisations of bushfire spread. It allows emergency response teams to effectively plan for and respond to fire emergencies in a variety of landscapes and climates.
CSIRO is also using generative AI to make water science more accessible. The Roper River AI tool (RRAI) is a generative AI system making complex water science data easier to explore and understand. RRAI's interactive map highlights key locations along the Roper River in response to queries, helping users visualise scientific insights and uncover patterns across diverse publications.
CSIRO’s Atlas of Water Science and Self Thinking Data Manifest also show how generative AI and geospatial visualisation can transform the way people explore, understand, and interact with environmental science.
Contact CSIRO enquiries for more information and to explore opportunities.
AI for cybersecurity
CSIRO is driving the next wave of cybersecurity innovation in Australia with cutting-edge AI research. Our researchers are creating tools with flexible autonomy for threat detection, response orchestration, privacy preservation, secure distributed computing, and resistance to quantum-enabled attacks. These technologies safeguard critical infrastructure and digital systems, ensuring they remain trustworthy and resilient amid an evolving threat landscape.
ThreatModelling-GPT is an AI-powered tool that automates the manual process of threat modelling in system design. It uses cybersecurity-specific LLMs to generate clear and accessible threat analyses aligned with universal frameworks like STRIDE and NIST 800-53. ThreatModelling-GPT helps developers and analysts in industries like finance and critical infrastructure identify vulnerabilities earlier, reduce costs, and improve communication across technical and non-technical teams.
In another collaboration with Penten, CSIRO is developing AI-powered deception technologies that deploy decoy data and cyber traps to detect and analyse attacker behaviour with minimal manual effort.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for energy
To support Australia’s net zero goals, CSIRO is using AI to deliver fast, scalable insights into residential energy use. In partnership with CoreLogic Australia, CSIRO developed RapidRate, an AI-powered tool that estimates energy ratings for established homes, an area traditionally lacking accessible data.
RapidRate uses property data and machine learning to assess energy consumption and carbon emissions from household systems like heating, cooling, lighting, and appliances.
By providing fast, scalable insights into home energy performance, RapidRate supports emission reduction goals and green finance opportunities. Banks are using it to assess the carbon footprint of mortgage portfolios, with broader applications planned across the property sector.
Contact anthony.wright@csiro.au for more information and to explore opportunities.
AI for infrastructure
As Australia’s infrastructure becomes smarter and more connected, CSIRO is using AI to keep it secure. We’re developing advanced tools to protect critical systems like energy grids, ports, and communications networks from cyber threats and other disruptions.
Our AI solutions identify vulnerabilities and enable rapid, adaptive responses. We focus on agile, resilience-by-design systems that evolve alongside emerging threats. This is especially important in sectors like 6G, digital energy, and supply chains, where even small disruptions can have wide-reaching impacts.
By modelling complex interdependencies across infrastructure systems, CSIRO creates proactive strategies that strengthen the security and agility of essential services.This helps ensure Australia’s critical infrastructure remains robust, responsive, and ready for complex, multi-hazard events.
Contact marthie.grobler@csiro.au and surya.nepal@csiro.au for more information and to explore opportunities.
AI for health
AI is transforming healthcare, and CSIRO is at the forefront. Our technologies help predict hospital demand, personalise treatment plans, and support faster, more accurate clinical decisions.CSIRO's Australian e-Health Research Centre (AEHRC) is the nation’s largest digital health research program. It's developing AI solutions that improve diagnosis, treatment, and the coordination of care across hospitals and clinics.
Tools like Pathling and OntoGPT are enabling smarter use of health data, while AI-powered chatbots are supporting patients with chronic pain, quitting smoking, Parkinson’s disease, dementia, and autism.
The CSIRO Total Wellbeing Diet's AI-generated goals have helped Australians achieve more sustainable weight loss. CSIRO is also applying AI to genomics, using advanced data analysis to identify disease risks and tailor treatments to individuals.
Whether it’s improving aged care, supporting mental health, or advancing Alzheimer’s research, CSIRO is using AI to make healthcare smarter, safer, and more responsive.
Contact Contact CSIRO enquiries for more information and to explore opportunities.
AI for manufacturing
CSIRO is developing AI-driven technologies to help Australian manufacturers become more productive, innovative, and sustainable. Our work spans robotics, intelligent IoT, digital twins, and real-time process optimisation, enabling smarter, more agile production systems.
Designed for seamless integration into industrial environments, these solutions enhance precision, safety, and the speed and volume of production.
From guiding robotic tool paths with machine vision to applying privacy-preserving AI to industrial data, CSIRO is addressing complex challenges in automation, additive manufacturing, materials design, and quality control.
We’re also designing AI systems that work alongside humans and enhance decision-making, improve safety, and enable people to focus on higher-value tasks. This human-centred approach ensures technology complements human expertise.
By combining expertise in physical and digital sciences, CSIRO is helping manufacturers customise products, optimise operations, and build globally competitive, future-ready businesses.
Contact Contact CSIRO enquiries for more information and to explore opportunities.
AI for minerals
Global decarbonisation goals are reliant on widespread adoption of low emission technologies which in turn are driving demand for critical minerals. In response to this urgent demand, CSIRO is harnessing the power of artificial intelligence and machine learning to create innovative tools and technologies designed to enhance mineral discovery and recovery.
In mineral exploration, CSIRO is applying machine learning in data analysis and predictive modelling to enhance decision making and reduce costs and risks associated with expensive exploration campaigns. AI approaches are being used to analyse and integrate vast geological, geochemical, geophysical, satellite, and historical drilling data to accelerate new discovery. These approaches are reported to identify subtle patterns and anomalies that may indicate mineral deposits, improving targeting accuracy and reducing exploration costs and environmental impacts by minimising unnecessary drilling.
A recent example is the CSIRO-developed LandScape+ software tool. Powered by machine learning, LandScape+ combines large data sets, publicly available and client-specific, to create exploration maps that overlay geochemical information with landforms. This AI-assisted tool is giving greenfield explorer valuable information to target areas of prospective interest.
AI techniques are also being adopted in mining to make operations safer, productive and more environmentally sensitive. AI controlled autonomous vehicles and equipment could further support continuous operations, boosting both productivity and safety. AI systems which monitor sensor data (temperature, vibration, wear patterns) on mining equipment can be used to predict equipment failures before they occur, reducing downtime and maintenance costs, while enhancing operational safety. AI can also be used to enhance worker safety and health monitoring and prediction to further prevent harm.
Contact Mark.Lindsay@csiro.au for more information and to explore opportunities.
AI for quantum
Quantum is one of our most promising growth opportunities to create new markets, new applications and new jobs in Australia.
In January 2025, CSIRO showed that quantum computing could significantly improve how we solve complex problems involving huge amounts of data. CSIRO integrated quantum computing with artificial intelligence to create novel quantum machine learning models. By using the unique properties of quantum computing including superposition and entanglement, researchers compressed and analysed a large dataset with speed, accuracy and efficiency that traditional computers today just couldn’t do.
In 2020, CSIRO developed a Quantum Roadmap to help facilitate the creation of a quantum industry in Australia, and to support the research community, government and industry to link-up, collaborate and commercialise.
CSIRO has also developed a Quantum AI Pattern Catalogue which provides a set of architectural solutions for quantum AI systems. Specifically, these system-level solutions aim to enhance system quality by addressing the inherent constraints of contemporary quantum hardware.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for science
Artificial intelligence (AI) has the power to revolutionise the way we approach scientific research, offering new opportunities for discovery and innovation. By leveraging AI, scientists could access tools that may help unlock some of our most complex and persistent scientific problems. As a world leading science agency, CSIRO is uniquely positioned to design a generative AI tool that supports and empowers scientists.
To seize this opportunity, CSIRO program Science Digital is building a multi-agent AI platform capable of accelerating the scientific research and discovery process. It will be built on a deep understanding of the challenges faced by researchers in various fields.
Science Digital brings together digital science experts from CSIRO's Data61, National Collections,, Agriculture & Food, Health & Biosecurity, Environment, Manufacturing, and Early Career Research (CERC) Fellowship program.
This short video showcases the capabilities of CSIRO’s Science Digital platform, Built by scientists, engineers, and AI product designers, the platform enables researchers to create intelligent workflows, simulate experiments, and analyse data with speed and precision.
Interested in learning more or exploring a partnership? Email ScienceDigitalProgram@csiro.au
AI for space and astronomy
CSIRO’s ASKAP radio telescope is used by researchers to create enormous maps of the Universe by repeatedly scanning the sky. To generate these maps ASKAP collects data at the rate of 100 trillion bits per second – more data at a faster rate than Australia’s entire internet traffic. Supercomputers, like Setonix at the Pawsey Supercomputing Research Centre, then store, calibrate and transform this data.
By using machine learning and AI tools, astronomers can circumvent the need to store massive quantities of data for long periods, be alerted to interesting data, or collect similar objects that may be in very different parts of the Universe.
CSIRO researchers have been using machine learning and AI to identify unusual shapes and structures that might point to new physical phenomena, like the images of ‘bent-tailed galaxies’ or ‘odd radio circles’, first discovered in ASKAP data for one of ASKAP’s nine survey science projects.
Machine learning and AI can also be used to classify different types of radio sources into categories, something that would take too long to do by eye. Similar machine learning and AI models can be applied to other fields where shapes and structures need analysis, such as medical imaging.
We acknowledge the Wajarri Yamaji as the Traditional Owners and Native Title Holders of Inyarrimanha Ilgari Bundara, our Murchison Radio-astronomy Observatory, where the ASKAP radio telescope is located.
Contact Ivy.Wong@csiro.au for more information and to explore opportunities.
AI for sport
We are partnering with the Australian Sports Commission (ASC) to help sports across Australia benefit from AI, from elite to community level.
As part of a three-year partnership with ASC the initial focus is on developing an AI for Australian sports roadmap which will provide a comprehensive overview of AI uses, identify cross-sport opportunities and set research priorities, as well as a responsible AI position statement and checklist which will help sporting and community stakeholders adopt AI responsibly.
This work follows on from two megatrend reports CSIRO developed with the ASC in 2013 and 2022 which outlined the megatrends that will reshape Australian sport and described the movement in the Australian sporting landscape over the last ten years.
AI is also used for working with digital athletes to trial and optimise strength and conditioning regimes, as well as test competitive play. This helps to increase the chances of winning as well as prevent injuries.
CSIRO and the Australian Sports Commission have also used digital humans to improve the performance of divers, swimmers and rowers. A good example of this is using a digital model of an Olympic swimmer to assess the coach’s proposed changes to his technique. Changes to swimming speed were assessed without unnecessarily disrupting training.
Contact Jyothi.Ramamurthy@csiro.au for more information and to explore opportunities.
AI for robotics and autonomy
CSIRO’s world-leading robotics and autonomy capabilities are helping address some of the world’s most complex challenges, from coral reef restoration and space exploration to nuclear safety.
Our suite of drones, tracked and legged robots are equipped with advanced perception and mapping technologies, enabling them to operate as autonomous teams in complex, GPS-denied, and high-risk environments.
Our award-winning Navigation Stack allows fleets of robots to explore beyond communication range, while our Wildcat SLAM (Simultaneous Localisation and Mapping) software generates accurate 3D maps in real time.
These technologies have been proven in high-stakes scenarios such as the 2021 DARPA Subterranean Challenge and adapted for critical inspection tasks, including nuclear facility monitoring and underground exploration.
In space, CSIRO’s Multi-Resolution Scanner supports NASA’s Astrobee robot aboard the International Space Station, enabling autonomous 3D mapping of the station’s interior.
Back on Earth, we’ve developed a soft robotic gripper to automate the delicate process of cultivating baby corals in reef nurseries. Created in partnership with the Beyond Coral Foundation, this world-first innovation uses AI-driven design to gently handle fragile coral tissue, paving the way for scalable, sustainable reef restoration.
Based in Brisbane, Queensland, CSIRO’s Robotics team delivers foundational and applied research across diverse domains including agriculture, advanced manufacturing, mining, biodiversity and biosecurity, environmental monitoring, cultural heritage, and online learning.
Contact Alessandra.Stasi@data61.csiro.au for more information and to explore opportunities.