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

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

TTX Company, a North American leader in railcar pooling, faced challenges with increasing document volumes due to its growing operations. To enhance efficiency, TTX partnered with Kognitos in 2023 to automate financial processes like scrap weight ticketing and accounts payable in Oracle, significantly reducing manual labor. The automation improved process… Read more: Data Processing – Simplify Orchestration Of Conditional Dw Data Loads to Automate the input of data from scrap weight documents into Excel and subsequent transfer into Oracle

Riparo GmbH faced challenges managing a high volume of diverse workshop invoices that had to be manually entered into their system. To streamline this process, they partnered with Buildsimple to develop an AI solution that automatically reads invoices from over 100 different formats and structures the data into JSON files… Read more: Vehicle claims management: Automatic reading of workshop invoices

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