Discover the powerful tools we offer to enhance your reliability engineering processes.
Uses the fine-tuned version of the GPT-3.5 model from OpenAI, with a dataset prepared from publicly available reliability research papers and articles.
Uses the RAG Pipeline of the GPT-4 model from OpenAI, with a dataset of publicly available reliability research papers and articles stored in a vector database. This model can generate plots, file exports, and more.
Utilizes OpenAI's assistant to generate plots based on input data, employing the GPT-4 model with the Code Interpreter tool, customized with prompt instructions.
Generates DFMEA based on the AIAG format through prompt instructions, using the GPT-4 model and vector data storage from OpenAI.
Analyzes and generates plots from the MAUDE failure dataset using OpenAI's assistant with functional calling techniques and the GPT-4 model.
Summarizes and retrieves failure rates from a private external data source, using OpenAI's assistant with functional calling techniques and the GPT-4 model.