Efficiency
Advancements in cameras used for computer vision, sensors to detect motion, pressure, sound, and atmospheric conditions, as well as ubiquitous high speed data networks have come together to deliver vast amounts of data, the Internet of Things, and Technologie 4.0. When applied to this data, machine learning algorithms can improve efficiency across industries. Process automation, real time detection, document processing, and predictive maintenance are a few of the areas where Aicadium customers are benefiting.

Process Automation
AI is supercharging process automation through the application of technologies such as computer vision and NLP to manage, automate, and integrate processes. It can be applied across almost any industry. Some typical use cases include quality inspection, predictive maintenance, rural surveillance, agriculture maintenance, trade execution, and claims processing.
Document Processing


Real Time Detection
Predictive Maintenance
Having strong predictive maintenance tools in place enables businesses to anticipate when and where potential breakdowns in service can occur and move to respond to them in order to prevent potential interruptions in services. AI provides the ability to use volumes of data to anticipate, detect, and address potential issues before they lead to breakdowns in operations or services. AI-powered dashboards can display information, predictions, and parameter recommendations for operators. The solution relies on predictive maintenance models and defect detection models which enable operators to understand what needs to be addressed at the right time.


Yield Optimisation
Yield Optimization or yield management has traditionally been defined as a group of strategies and tactics used to maximize the quality, and therefore potential monetisation, of goods or services produced. In the manufacturing setting, this involves establishing quality standards of products coming off a production line and making sure the output adheres to those standards. In marketing, it involves maximizing the number of leads that convert to customers. Aicadium applies machine learning to yield optimization to understand all relevant factors, enable the highest yields, and increase our customers’ bottom lines.
Case Studies
- Efficiency, Process Automation
- Financial Services
- Efficiency, Real Time Detection
- Retail
- Efficiency, Real Time Detection
- Manufacturing
- Efficiency, Process Automation, Yield Optimisation
- Manufacturing