Andeavour Platform’s products use artificial intelligence and large language models (AI LLM) to collect and process information from documents. This allows them to extract important data and insights from large volumes of unstructured text quickly and accurately.

To collect information from documents, the platform likely uses techniques such as optical character recognition (OCR) to convert scanned or image-based documents into machine-readable text. This text is then fed into the AI system, which uses a combination of machine learning algorithms and classifications to analyze and understand the meaning and context of the words and phrases in the document.

The AI LLM system is able to identify and classify different types of information, such as names, dates, and addresses, and extract them into structured data fields. It can also understand the overall context and meaning of the document, allowing it to identify important themes and topics and extract relevant information accordingly.

One of the key benefits of using AI LLM for document processing is that it can be done completely without integration, making it very simple and easy to use. This allows organizations to quickly and easily extract valuable insights from their documents without having to invest in complex and time-consuming integration processes.

Andeavour Engine is a system that uses artificial intelligence (AI), natural language understanding (NLU), natural language interpretation (NLI), and Large Language Models Classifications (LLMC) technologies to process and analyze information from various sources. It is designed to detect dangerous trends and events in areas such as compliance, human resources (HR) and cyber security by analyzing large volumes of data and identifying patterns and anomalies that may indicate potential risks.

For example, the engine may use NLU and NLI to understand and interpret the meaning and context of text-based data, such as HR reports or cyber security logs. It may then use machine learning algorithms to identify patterns and trends in this data, such as instances of “quiet quitting” (when employees leave a company without alerting management) or instances of toxic behavior in HR.

The engine may also use AI and machine learning techniques to identify the root causes of cyber security issues and vulnerabilities. By analyzing large volumes of data from various sources, such as security logs, network traffic data, and vulnerability reports, the engine can identify patterns and correlations that may indicate the underlying causes of these issues.

Overall, the goal of Andeavour Engine is to help organizations detect and prevent dangerous trends and events by providing them with insights and intelligence derived from the analysis of large volumes of data. By using the latest AI LLMC, NLU, NLI, and ML technologies, the engine is able to quickly and accurately process and analyze information from various sources, helping organizations stay ahead of potential risks and protect their assets.

As a result of its advanced artificial intelligence  and LLM capabilities, Andeavour Platform is able to provide its customers with very insightful results that have unparalleled depth in the detection of hidden dangerous trends.

By using a combination of machine learning algorithms and linguistic rules to analyze and understand the meaning and context of large volumes of data, the platform is able to identify patterns and correlations that may indicate potential risks and dangers. This allows it to present its customers with a deep and comprehensive understanding of the underlying issues and trends that may be affecting their organizations.

For example, the platform may be able to identify patterns of quiet quitting in human resources data, or detect toxicity in HR reports. It may also be able to identify the root causes of cyber security issues and vulnerabilities, or detect dangerous trends in other types of data, such as financial or operational data.

Overall, the goal of Andeavour Platform is to provide its customers with valuable insights and intelligence that can help them detect and prevent dangerous trends and events. By presenting results that have unparalleled depth and detail, the platform is able to help its customers make informed decisions and take proactive steps to protect their assets.