For a high-volume financial institution managing significant tax incentive programs, information collection for decision-making was inefficient and labor-intensive. We developed and integrated a specialized digital assistant with their existing platform to streamline the process.
to sifting through hundreds of documents per deal—spreadsheets, contracts, and surveys—that made decision-making slow and inconsistent. Manually extracting key insights took time and effort, creating bottlenecks in the process.
to Deal Assistant, which quickly finds and summarizes critical deal information exactly when it’s needed, allowing teams to focus on strategic decision-making instead of getting lost in paperwork.
Learn how brands and companies are implementing AI and RAG to transform the way they work.
This cutting-edge innovation merges two pivotal aspects of NLP: retrieval-based methods and seq2seq, or sequence-to-sequence, models.
RAG represents a significant advancement in AI capabilities. Unlike traditional AI models relying solely on pre-trained knowledge, RAG combines large language models with real-time information retrieval.
A suite of AI tools designed to streamline internal and external brand communication, ensuring brand consistency and efficiency.
