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From control centres to battlefields,

deploy the comprehensive competency of Turium for data supremacy and decision precision.









For years, we’ve consulted alongside our customers to build our Artificial Intelligence platform backwards, starting from solving the mission critical enterprise problems.


Our goal is to provide the world’s most seamless experience for working with real-time data, one that enables people to gain rich insights into their dynamic environment.To achieve this, we create intelligent platform products that unlock the value of big data by layering industry-preferred applications on top of a fully integrated human-augmented and machine-assisted analysis.

Winning in the “Knowledge Age” requires overmatch from an adversary not just through firepower, but, more importantly, via decision-making (the OODA Loop: Observe, Orient, Decide, Act).

To achieve an overmatch, raw data from all the sources must be ingested effortlessly, computed on the go, and translated into intelligent decisions. It can then be pushed out as required to the Forward Edge of the Battle Area (FEBA) as a single source of truth for rapid assimilation by end users. Especially with big data being harvested by Communications, Surveillance, Intelligence and Reconnaissance, Space, Electronic Warfare, and Cyber Security assets combined with data from individual battlefield sensors (individuals, vehicles, tactical UAV) across multiple domains, there is an unprecedented gap to aggregate and process this data into knowledge, for cognitive assimilation and decision making.


Knowledge must be rapid, accurate, and continuous to enable decision superiority for the evolving, agile, amorphous ADF. To deliver tactical advantage, this information must be translated into knowledge.

When information is provided unfiltered, and ‘en masse’ to tactical elements, it rapidly results in incorrect interpretation, disorientation, information overload, unsound tactical actions, and/or decision paralysis.


A methodology must be applied for rapidly integrating data from multiple sources to discover relevant patterns, determine and identify change, and characterise those patterns to drive collection and create decision advantage.


Unlike the traditional intelligence cycle, which decomposes multidisciplinary collection requirements from a description of the target signature or behaviour, the concept of large-scale data filtering of events, entities, and transactions to develop understanding through geographical, spatial, and temporal correlation across multiple data platforms is a need of the Australian Department of Defence.




Strengthening Mission Command

ALGOREUS continuously improves operations by:

Bolstering Soldier & Unit Readiness

Drive Information Dominance

Improving Global Force Management

Delivering a Single Source of Truth

Reducing Spend & Optimising ROI

Enhancing Decision Making at the Edge

Harmonising Multi-Cloud & Hybrid-Cloud Portability


Mission planning is a detail-oriented process that is critical to achieving success and ensuring the safety of everyone involved. It requires analysing historical data, assessing multiple risk factors, simulating numerous scenarios, and more. But no matter how in-depth the existing plan is, the unforeseeable can happen during the operation.


ALGOREUS provides mission-critical capabilities that integrate data and intelligence from the battlefield, UAV and unmanned systems, weather, IoT sensors, and more. In the command centre or in the field, our mission-planning solutions help defence operators quickly update and adjust strategies and tactics based on real-time information and conditions. In today’s rapidly changing defence landscape, militaries, systems integrators, and OEMs need mission-critical data available quickly, securely, and all in one place.


With ALGOREUS , organisations can deploy applications that fuse and feature imagery, maps, military symbology, terrain models, real-time weather data, live video feeds, moving tracks, target indicators, and more inter-departmentally or even internationally. 



For mission-critical enterprises such as the ADF, machine learning plays a significant role in modern warfare systems, such as autonomous weapons. Although autonomous weapons have been in existence for more than a century, machine learning acts as a force multiplier to accelerate AI innovation through a data-driven decision precision for an overmatch against an adversary. There is a need for a platform that can bring key decision-makers, operational staff, and data scientists together, offering a seamless yet flexible ML environment. This is where ALGOREUS comes in.

An ML Spawner that lets enterprises: train, test, troubleshoot, deploy, and govern ML models at scale to boost productivity across all chains of command while maintaining model performance in production with confidence. It accelerates time to value with industry-leading machine learning operations, open-source interoperability, and integrated tools. The dependable platform is intended for responsible AI applications in machine learning, with fairness and explainability built in. ALGOREUS includes built-in governance, security, and compliance for operating machine learning workloads anywhere.

For mission-critical enterprises such as the ADF, machine learning plays a significant role in modern warfare systems, such as autonomous weapons. Although autonomous weapons have been in existence for more than a century, machine learning acts as a force multiplier to accelerate AI innovation through a data-driven decision precision for an overmatch against an adversary. There is a need for a platform that can bring key decision makers, operational staff, and data scientists together, offering a seamless yet flexible ML environment. This is where ALGOREUS comes in.


Image by Pietro Jeng


Train models without code, minimal expertise required

Take advantage of AutoML to build models in less time. Use ALGOREUS with state-of-the-art, pre-trained APIs for computer vision, language, structured data, and conversation.

Image by DeepMind


Accelerate models to production

Data scientists can move faster with purpose-built tools for training, tuning, and deploying ML models. Reduce training time and cost with optimised AI infrastructure. ALGOREUS allows mission-critical enterprises to achieve faster model development, deliver higher quality ML models, and faster deployment and production. 

Image by Joakim Honkasalo


Manage your models with confidence

Remove the complexity of model maintenance with MLOps tooling such as ALGOREUS Pipelines, to streamline running ML pipelines, and ALGOREUS Feature Store to serve, and use AI technologies as ML features. Lastly, to use ALGOREUS Model Interpretability to white-box your model predictions in dashboards so that everyone in your chain of command that makes decisions can use the models with confidence.

Image by Daniele Franchi



It allows for massive scalability and administration by allowing thousands of models to be supervised, controlled, managed, and monitored for continuous integration, continuous delivery, and continuous deployment. ALGOREUS, in particular, enables more tightly-coupled communication across data teams, decreasing conflict with devops and IT, and boosting release velocity.

Image by Mike Kononov


Risk Reduction

Machine learning models often need regulatory scrutiny and drift-check, and ALGOREUS enables greater transparency and faster response to such requests and ensures greater compliance with an organisation’s or industry’s policies. 

Image by Maxim Hopman


Human Augmentation

With Ml-assisted operating pictures and integrated alert, automation, and AI capabilities, our solutions do not replace the warfighter but rather augment human strengths. The result is a more capable Defence force, equipped to make better decisions at a faster speed than the adversary.


Image by DeepMind

Decision Support

Our collaborative mission planning environment enables the ADF to simulate competing courses of action; assess costs, opportunities, and tradeoffs; and prepare to take rapid, decisive action when it matters most. ALGOREUS also helps to build enhanced decision-support system for the defence sector, such as intelligent drones, automatic cruise missiles, automatic weapons that take decisions in accordance with suspicious objects. It helps humans in the loop to make a decision by analysing data and predicting the best course of action for them. 

Image by Arget

Cyber Security

The National Security system of any country is one of the most important parts to maintain the security of the whole nation. Hence military/defence systems are most sensitive to cyberattacks, as it can lead to loss of crucial information and can also compromise the National Security. To this end, AI and ML embedded systems powered by ALGOREUS can automatically protect networks, computer programs, and data from any kind of unauthorised access. Further, ML-enabled web security systems can record the pattern of cyberattacks and develop counter-attack tools to tackle them.

Image by Irwan iwe

Medical Aid

Immediate medical aid is not always available on the battlefield. It may be a lack of actual medics in the area, injuries beyond the skills of a medic, or a matter of triage, where medical personnel prioritise the most badly injured. AI in medicine is a well-established field in the commercial sector, but not so much in the defence. An AI-enabled ML system like ALGOREUS can support medics in diagnosing injuries, monitoring patients, and providing treatment plans when immediate evacuation of the patient is not possible. The idea is to provide the medic with decision support when it comes to handling traumatic injury by using an ensemble of classifiers, frequently tuned via machine learning to predict life-threatening and difficult-to-detect injuries. It would present the steps to treat those injuries through a simple, easy-to-use interface that tailors itself to the needs and skill level of the user.

Image by Marcin Jozwiak

Logistics & Transportation

For each successful ADF operation, it is required to effectively transport essential components such as goods, weapons, ammunition, etc. Embedding ALGOREUS in the transportation system can reduce transportation costs and also human operational efforts. Strategists can leverage our solutions for resilient logistics to assess competing supply chain strategies, plan for disruptions, and redistribute existing resources to where they are needed most. 

Military Humvee

Target Recognition and Tracking

Machine learning and artificial intelligence are also involved in enhancing the accuracy of target recognition in complex combat environments. These techniques allow defence forces to gain an in-depth understanding of potential operation areas by analysing reports, documents, news feeds, and all forms of unstructured information for situational analysis and a prediction advantage by leveraging the information flowing from FABRIQ into Algoreus.

Image by Filip Andrejevic

Defence combat Training

Machine learning enables computers or machines to train the troopers with various combat systems deployed in various operations in warzones. It provides stimulation and training with various software engineering skills that help during a difficult situation. Reinforcement learning in AlGOREUS can help in building a combat training system where they learn by reward and punishment as feedback. This approach becomes more significant in maintaining an enhanced training system for all chains of command where continuous and dedicated training is essential.

Image by Umberto

Threat Monitoring

Threat monitoring is defined as a network monitoring solution/system, which is dedicated to analysing, evaluating, and monitoring an organisation's network and endpoints to prevent various security measures such as network intrusion, ransomware, and other malware attacks. Machine Learning in ALGOREUS helps in threat detection through various categories such as Configuration, Modeling, Indicator, and Threat Behaviour. Algorithms are trained to run pattern recognition, and detect the malware behaviours or ransomware attacks before it enters the system. AI also plays a vital role in developing an intelligent system for threat awareness, such as drones. These drones are equipped with intelligent software and algorithms that enable them to detect threats, analyse them, and prevent them from entering into an uncharted territory through the Machine Learning advantage. 

Image by Bernard Hermant

Border protection

The ADF protects our country from border attacks by ensuring dedicated patrolling of the country inside and outside the borders. Although soldiers are always positioned to patrol the border, nowadays, various smart sensors and intelligent machines such as drones are playing a crucial role in the border security system. These drones can be equipped with AUTO-ML capabilities of ALGOREUS that would detect, analyse, and inform against any suspicious activity by sending information to edge data centres in real-time. 

“As the battlespace becomes increasingly contested, human-machine teams need to enable operators to collect cognitive intelligence in complex environments, ensuring our warfighters get rich information they need when they need it.”

- Dan Saldi, Founder and AGI Developer

Get Started with Turium for Defence

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