Companies have been reliant on the expertise of a few individuals to solve problems and train new employees. As more and more of these experts retire, this strategy will fail. An effective knowledge management strategy leverages workforce expertise and organisational knowledge to create insights, solve problems, and improve continuously. AI is uniquely suited to solve this challenge because maintenance and repair processes rely heavily on vast amounts of unstructured data—technical manuals, historical maintenance logs, field reports, and expert knowledge. Traditional systems struggle with organizing and retrieving this information efficiently.

LexX leverages machine learning to structure unstructured data, enabling knowledge capture, retrieval and improvement. We use AI to reduct equipment downtime, recommend and predict outcomes.  Users access insights using natural language queries, eliminating keyword-based searches and rule based querying. AI-powered knowledge generation synthesizes past learnings, best practices, and technical documentation to provide proactive recommendations, improving decision-making and operational efficiency. This AI-driven approach transforms maintenance workflows, reducing downtime and enhancing asset reliability.

If you are wondering, LexX (pronounced lex) stands for Lexicon; meaning the vocabulary of a person, language, or branch of knowledge, to the power of numbers signified by x in our superscript. They aptly represent our work with language and mathematical modelling.