Sinequa Brings Reliable Generative AI to Product Lifecycle Management for Digital Thread Optimization
Built for large-scale industrial data and content, Sinequa’s platform now combines Neural Search and Microsoft Azure Open AI Service with industry leading Large Language Models (LLM) -- the same technology underpinning ChatGPT. Engineering teams gain fast, accurate, unified search and insight generation across projects, products and parts within an organizations’ design, supply chain, manufacturing, and services processes. Powerful question-answering capabilities and automated summaries help streamline workflows, collaboration, and improve decision-making throughout the product lifecycle.
- Enterprise Search leader Sinequa has added new capabilities to its Search Cloud platform that enable manufacturers and engineers to easily and reliable discover, generate and reuse information and insights throughout the product lifecycle and digital thread.
- According to Xavier Pornain, Senior Vice President, Global Manufacturing at Sinequa, “Sinequa Search Cloud is an essential component of digital threads that manufacturers have envisioned for many years.
- Join this session in the PLM track to learn how Sinequa’s Search Cloud unifies digital thread data that lives across disparate systems and makes relevant information discoverable across product lifecycle functions.
- Stop by Sinequa booth #509 at LiveWorx to experience the Sinequa Search Cloud combining Neural Search with generative AI capabilities in a new conversational interface for finding and generating data-driven insights.