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Explains AI

Auromind is turbocharging your business growth through the DeepTrace solution.



What is DeepTrace?

The Auromind product (called DeepTrace) provides explainable analytics for AI applications and delivers two key benefits in the decision-making process: transparency and explainability

  • Transparency provides customers with insight about the nature of the data used to train the algorithm, which helps them to decide whether or not they want to deploy a model for use. 

  • Explainability provides customers with information about how exactly a particular outcome was produced which helps them to decide whether they trust the predictions.

DeepTrace is easy to use as a Software as a Service (SaaS) platform. It can be deployed in the cloud or on-premise if the company policy prevents integration with public cloud resources. The modular architecture of the DeepTrace solution can be supported by the biggest cloud providers and can be scaled to meet customers' demands. The availability of the DeepTrace API makes this solution easy to integrate into existing client architectures, where DeepTrace augments the current business processes rather than replacing them.

DeepTrace is focusing on customers having no or limited knowledge of AI. The goal of DeepTrace is to augment their experience of using complex AI systems by providing a level of explanations necessary for building trust and confidence in human-AI interactions.


Financial Services

Financial institutions such as Capital One and Bank of America are actively leveraging AI technology by many facets within their organizations. They are looking to bring their customers’ such benefits as financial stability, empower their financial awareness, and help them better manage their spending. All these require more sophisticated AI algorithms which provide fair, unbiased, and explainable outcomes that can be easily understood by customers and service providers.  This allows financial institutions not only to ensure compliance with different regulatory requirements but also follow fair and ethical standards in machine learning.

Healthcare and Drug Discovery

 "Traditional machine learning can help us predict events, but as end-users, we can't tell why the machine is predicting something a certain way," said Kamal Jethwani, MD, MPH, Senior Director, Partners Connected Health Innovation. This imposes significant limitations on how and where AI technology can be applied in the healthcare domain. With the help of explainable AI, doctors will be able to tell why a certain patient is at high risk for hospital admission, and what treatment would be the most suitable.  This will enable doctors to act based on better information in comparison to what many of state-of-the-art machine learning algorithms can deliver today.

Security and Defense

Explainable AI is one of the current DARPA initiatives to enable “third-wave AI systems”.  These systems must not only give accurate predictions but also to understand the context and environment in which they operate. It allows building explanatory models that can characterize some real-world phenomena. Such ability to produce accurate explanations plays a key role in mission-critical applications in security and defense domain. The current challenges in the security and defense sector are mainly in areas of classifying events of interest from multiple multimedia data sources and constructing decision policies to perform a variety of simulated missions.


More and more AI becomes a part of our daily life. We are relying on this technology when doing our shopping, assessing our health, managing our finances, etc. But can we trust it? The recent news demonstrates that AI algorithms can become bias, racist and unethical. This undermind our trust in AI and slow down its adoption of game-changing applications.  AUROMIND is a company which helps businesses providing or consuming AI services to regain trust in AI. We are using our DeepTrace software solution for assessing the quality of AI models and explaining mechanisms of the decision-making process. If you deeply care about security, ethnicity, and transparency of your AI solutions, we would be delighted to help you.

Dr. Mykola Galushka, CEO, AUROMIND


About Us

AUROMIND is young and exciting AI start-up, located right in Belfast city center (United Kingdom). Our team consists of data scientists and software engineers with many years of experience in the field of machine learning who are deeply passionate about explainable AI. We are always open to new ideas and collaborations. Just drop us a message to start a conversation.


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