AI Solutions

In the insurance industry, the push for trustworthy AI is becoming increasingly significant, driven by regulatory bodies and consumer expectations for transparency and fairness in automated decisions. To align with EU guidelines and specific insurance industry regulations from EIOPA and BaFin, insurance companies are advised to adopt frameworks that ensure… Read more: A framework for trustworthy AI in the insurance environment

Siemens AG partnered with Scoutbee to leverage its AI-powered supplier scouting platform, significantly enhancing their procurement processes by automating the identification and evaluation of suppliers. This collaboration enabled Siemens to efficiently pinpoint high-quality suppliers globally, reducing their workload by up to 90% and markedly speeding up decision-making times. Scoutbee’s platform… Read more: AI-powered supplier scouting helps Siemens procurement reduce time and workload

Comma Soft and leadity have collaborated to streamline CSRD reporting for companies, leveraging generative AI to automate the generation of sustainability reports in compliance with the ESRS standard. This solution simplifies the complex task of documenting sustainability efforts by semantically searching and structuring data, thus minimizing manual data handling and… Read more: Faster sustainability reporting with leadity & GenAI

GuideCom AG collaborated with Buildsimple to transform the time-consuming manual credit application process at Sparkassen, reducing processing time per transaction from over 10 minutes. By utilizing AI to automate document handling such as ID verification, payroll, and tax documents, the solution integrates seamlessly into GuideCom’s service cockpit via standardized APIs.… Read more: Utilising synergies: one solution for all savings banks. Automation of the loan application process

Our project focused on automating the information extraction process from various data sources such as textual documents and database tables, utilizing Named Entity Recognition (NER) and advanced Language Models (LLMs). The main goal was to create an automated solution that could efficiently extract relevant information using NER and enrich metadata… Read more: Automating Information Extraction with Named Entity Recognition and LLMs