We developed a solution for one of the largest Spanish banks using Retrieval Augmented Generation (RAG) techniques—combining information retrieval with text generation in the asset portfolio management domain. This specialized model not only makes it easy to retrieve essential data from extensive documents (docs, pdfs, URLs, etc.) related to portfolio management but also to generate precise and highly contextualized responses from this information.
Following initial training with extensive datasets, this model underwent targeted fine-tuning using proprietary customer data, ensuring customized and contextually relevant responses around the clock.
Deployed within the infrastructure of our international banking partner, this process guarantees total privacy and security.
This IAGen API automates the creation of user stories, descriptions, acceptance criteria, in Gherkin, Java, and Cucumber. It acts as a writing assistant, generating structured content from "As/I Want/So That" prompts. It provides value by allowing Product Owners to focus on higher value tasks, distancing them from routine tasks. Also, by identifying unconsidered scenarios, it improves feature coverage, making it an essential project management tool.
By merging financial analysis with sentiment analysis, this calculator intricately assesses the credit risk of companies. It surpasses mere processing and scrutiny of accounting data, extending to the calculation of financial ratios and interpretation of sentiment within reports and annual accounts. By formulating a credit rating that captures both financial robustness and overall company sentiment, it gives lenders a comprehensive and nuanced perspective on potential credit risk.
Employing security cameras enhanced with computer vision algorithms, we offer uninterrupted surveillance of designated areas, promptly flagging any irregular activities. Our algorithms for object recognition and human tracking guarantee swift identification of intruders, triggering real-time alerts for security personnel.
Employing advanced image analysis and deep learning techniques, our system continuously monitors the movement and anatomical positioning of older individuals. By meticulously analyzing a body’s vertices and angles, we can accurately assess posture and movement to quickly identify potential fall scenarios. This proactive approach facilitates early intervention, markedly enhancing the safety and their overall well-being.
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