Sinequa delivers GenAI assistants for asset managers
Sinequa's new generative AI Assistants empower employees to work more efficiently, effectively, and creatively, allowing them to accelerate and improve decisions, devote more time to strategic initiatives, and drive business success.
Generative AI (GenAI) is poised for rapid adoption. According to Gartner, "By 2027, GenAI will augment 30% of all knowledge workers' tasks, from 0% in 2023." As organizations have grappled with how to reliably use generative AI in business, Sinequa's Assistants demonstrate that combining search with GenAI in a technique called retrieval-augmented generation (RAG) enables the next generation of AI-augmented knowledge work. Sinequa's unique Neural Search is the perfect complement to GenAI and provides the foundation for Sinequa's Assistants.
Enhancing Knowledge Work
Its capabilities go far beyond RAG's conventional search-and-summarize paradigm to intelligently execute complex, multi-step activities, all grounded in facts to augment the way employees work. Assistants automate tedious tasks and streamline work processes with added insights for better results, improved quality, and a more satisfying work experience.
Unlike other AI assistants or copilots that lack secure access to the full scope of all enterprise content, Sinequa's Assistants leverage any and all company content and knowledge to generate contextually-relevant insights and recommendations, while ensuring privacy and data governance.
Optimized for Efficiency
Optimized for scale with three custom-trained small language models (SLMs) for the best relevance at low cost, Sinequa Assistants ensure accurate conversational responses on any internal topic, complete with citations and full traceability to the original source. Sinequa Assistants work with any public or private generative LLM, including Cohere, OpenAI, Google Gemini, Microsoft Azure Open AI, Mistral, and others, allowing companies to choose which LLMs best meet their needs while controlling costs.
Domain-Specific Assistants
The Sinequa Assistant framework powers a range of ready-to-go Assistants along with tools to define custom Assistant workflows so that customers can use an Assistant out of the box or tailor and manage multiple Assistants from a single platform. Some of the domain-specific Assistants available include:
- The Augmented Scientist
- The Augmented Engineer
- The Augmented Lawyer
- The Augmented Asset Manager
All of the Assistants are powered by Sinequa's search platform, combining the most accurate and performant hybrid search technology and three custom SLMs. A flexible Assistant framework makes it easy to define custom workflows informed by search and combine that with any generative AI model, whether commercial, private, or open source.
Customer Testimonial
"To better capitalize on the feedback following production incidents in our refineries, we implemented JAFAR (Jenerative AI for Availability REX), a new search app designed to streamline information retrieval in TotalEnergies' knowledge databases. Powered by Sinequa's search engine/RAG combined with generative AI, JAFAR enhances decision-making by analyzing documents and providing recommendations," said Aude Giraudel, Head of Smart Search Engines, TotalEnergies.
Leading the Way in AI
While most companies are still experimenting with basic search-and-summarize RAG, Sinequa has gone much further with Assistants that take RAG to the next level. Sinequa's Assistants execute multi-step workflows to accomplish complex tasks with reasoning, incorporating RAG as needed to fully leverage corporate knowledge. This ensures that the Assistant responds accurately, transparently, and securely, with the most up-to-date information, including inline citations to original sources and immediate traceability - and access - to those sources.
As part of this paradigm shift and the unveiling of Sinequa's virtual assistants, Sinequa has also launched a new brand identity and company website to reflect this new era of work augmented by Assistants informed by search and Sinequa's role in advancing AI in the enterprise. AI is fundamentally transforming how work gets done and represents a new world of opportunity for augmenting employees and businesses.
