AI Solutions

JIFFY.ai significantly enhanced the onboarding process for a global professional services firm by automating 80% of the activities, which streamlined the procedure for both HR teams and new hires. This automation reduced the onboarding time from three hours to just 17 minutes and allowed the HR team to shift their… Read more: Automation Boosts Efficiency in Employee Onboarding

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

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 client, a major manufacturer and distributor of outdoor equipment, required a centralized platform for all its data to enhance advanced analytics of customer and business data. Niologic implemented a data warehouse based on Google BigQuery and developed a time series analysis for shipping, along with a machine learning algorithm… Read more: Time series analysis for shipping outdoor equipment through data warehousing

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