The easy 'no code' entry into AI.
Discover hidden an more accurate patterns improving results from your data.
For customers wanting to augment existing or implement AI as a new business tool.
For companies using AI and need to improve its accuracy.
Excels as a staring point.
Straight forward decision making.
Adds recommendations and/or suggested actions to the data 'Discovered'.
Customers seeking to improve their ability to act on Discovery and Clients that are improving their business functions.
Ideal for customers looking for new ideas and refinements.
Automatic explainations that guard business decisions.
Provide an extra layer of security that ensures accuracy.
Monitors actions, additions, updates and new discoveries that are in critical business.
Guardrails are an autonomous way to react faster and more efficiently to changinig business needs. Excels with minimal source data.


Protecting your business by capturing human knowledge, optimising its application with process automation and learning from it is a process we call Human Artificial Intelligence.
This means being able to adjust the processes according to the prevailing conditions, data and information.
Changing data forms the basis for Azaries SPARK. It means very small amounts of data is required which produces very fast results under any conditions.

Whether its a 'neural network', a 'machine learning' process or any other of the techniques, it is the culmination of results in comparative form that determines the most successful outcome. After all there's no point in using results that miss the mark. We believe in 'red' light, 'green' light simplicity that form cornerstone guardrails.
Contact us to see how Azaries can improve the accuracy of your planning, speed up your decision making and optimise your AI or Non AI processes.

Upload your data. Expert knowledge captures creativity, skills, and information. To speed the learning process, HAI captures human knowledge for ultimate advantage. AI’s starting point is then established.
For example, an experienced technician’s knowledge of clinical diagnosis is used as the AI starting point. Massive speed and breadth increase. HAI takes accuracy further because once AI results are reviewed, they are fed again into the AI engine, the HAI loop.

Examples of the desired result. Azaries uses observed and example results that are the most applicable starting point for a specific application. A bit like learning.
For example, in weather observations, high-pressure results in fine sunny weather.
‘High pressure’ also means different results at differing times of year: warm and sunny in summer and crisp and cold in winter. Key influences that cause high pressure are then identified.

Azaries optimises the part that selects the most accurate settings. By using this ensemble of AI settings and data sources Azaries selects the data sources most applicable to make predictions that may be continuously changing.
Results can be viewed in graphical layouts for anyone to see and are accompanied by effective easy to read rules ready to implement in your Agentic business automation.