General-purpose AI
Although effective for general knowledge and writing, it cannot fully address drawings, equipment and your company's own decision criteria.
We turn specialized tasks beyond the reach of general-purpose AI—such as quotations, drawing checks, drawing analysis, PLC work and technical knowledge transfer—into systems tailored to workplace decision criteria. The aim is to shorten the first steps of actual work, not to stop at search.
General-purpose text generation cannot fully handle drawing interpretation or your company's own decisions. We incorporate your workplace knowledge and data before defining what to automate.
Although effective for general knowledge and writing, it cannot fully address drawings, equipment and your company's own decision criteria.
We incorporate drawings, forms, past cases and experienced staff's know-how to provide answers and automation that work for your company.
We bring together conversations, manuals, drawings and cases, making them accessible through questions and business applications so that search time can be spent on actual work.
We gather workplace information such as conversations, manuals, drawings and past cases.
AI summarizes and classifies information, structuring it for later use.
We retain decisions that depend on individuals as company knowledge.
Simply ask a question to find the knowledge you need, together with its source documents.
We incorporate workplace feedback and improve accuracy during operation.
We connect knowledge to actual quotation, drawing-checking and maintenance work, rather than stopping at search.
We go beyond search to address tasks that hold up work, including quotations, drawing checks, forms, ladder logic and drawing calculations. Results vary with operating conditions, so we recommend starting with a proof of concept using your own data.
For technical knowledge transfer, Knowledge AI applies the same approach. It turns the effort of searching, asking and teaching into a workplace knowledge base.
Store manuals, drawings, past cases and workplace conversations, then ask questions to see answers and their source documents.