Sinequa Augments Companies with Release of New Generative AI Assistants. Learn more
Sinequa GenAI Assistant
Manufacturers with disengaged employees cannot make informed decisions, leading to lower product quality and higher operating costs.
Sinequa’s Search-powered GenAI helps manufacturing organizations connect their employees to critical product lifecycle knowledge and expertise when needed. Help your plant drive informed sourcing decisions, accelerate onboarding and knowledge transfer, and improve overall workforce productivity and collaboration.
The Augmented Engineer empowers design teams with a unified view of projects, products, and parts and the ability to construct and search across a digital thread.
Learn more
GenAI in the enterprise relies on good search results. Otherwise, it's garbage-in, garbage-out. Sinequa's hybrid AI-powered search has the best relevance on the market, for results you can trust.
GenAI is changing fast. That's why Sinequa is designed to be GenAI agnostic, which means you can use whatever model or models are best suited to your needs - today and tomorrow, with no lock-in.
If important information is overlooked, it's just as if it didn't exist. Sinequa incorporates all of your enterprise systems and all formats, for an all-knowing Assistant that never misses a thing.
Any system that can't keep your information secure is a non-starter. Sinequa honors the permissions already present in your existing systems, so employees only see what they’re supposed to see.
Sinequa has everything you need to get up and running quickly. Just connect to your content and go. Use a starter Assistant out of the box, or configure your own with the no-code Assistant builder.
Everything gets harder with scale. That's why Sinequa has been designed from the beginning for large and complex environments. Break the scale barrier without breaking the bank.
0%
Improve Time to Market
0%
Increase Margins
0%
Increase reuse of parts
Sinequa makes relevant information discoverable throughout the product lifecycle to speed product development and delivery.
Give supply-chain professionals access to pertinent information to make informed decisions.
Enhance knowledge transfer and help support engineers and customers find all of the information required to resolve issues quickly
Enables engineering teams to optimize production with an integrated feedback loop, leading to decreased re-work, improved in-field performance, and quicker turnaround times for critical investigations.
We lose a lot of time searching through our various databases and existing tools, along with drawings and technical documentation. We selected Sinequa’s search engine because of its high performance and the fact that it’s straightforward to index databases.
Frédéric Antoine, Technical Support Network Manager, Airbus Helicopters
If Siemens only knew what Siemens knows; that was the initial challenge... now our employees find insight more efficiently - we're 30% faster with Sinequa.
Dr. Thomas Lackner, CTO Office, Corporate Technology, Siemens
Sinequa’s Intelligent Search platform’s in-depth analysis provides Alstom’s employees with a thorough understanding of unstructured data, including the text coming from very complex technical and normative documents. This allows greater efficiency and real time savings for Alstom’s data scientists.
Tristan Le Masne, Vice President Internal Audit & Internal Control, Alstom
Generative AI is a pivotal force and fundamentally reshaping the ongoing transformation of the manufacturing industry. Its impact extends across multiple critical domains fundamental to the production processes. It’s more than just a technological advancement; it’s propelling the industry into an era of heightened efficiency, innovation, and sustainability.
Generative AI in manufacturing leverages advanced AI models to enhance design optimization, process efficiency, and quality control. It enables rapid prototyping, predictive maintenance, and defect detection, leading to cost reduction and improved product quality. By automating complex tasks and optimizing supply chains, generative AI drives innovation and efficiency, ultimately accelerating time-to-market for new products and supporting mass customization efforts.
Generative AI in manufacturing offers significant benefits, including increased innovation through optimized design exploration and cost reduction by minimizing material and energy usage. It enhances efficiency with predictive maintenance and process optimization, and improves product quality via advanced defect detection. Additionally, generative AI accelerates time-to-market with rapid prototyping and supports mass customization, enabling manufacturers to meet diverse customer needs more effectively.
Enterprise Search is a crucial technology designed to organize and provide access to large volumes of information across various platforms within an organization.
For manufacturers, Enterprise Search consolidates data from multiple sources such as product specifications, supply chain details, quality control parameters, and regulatory compliance standards. This integration creates a centralized repository that:
