AI Solutions

Berlin Recycling partnered with AI developers to create a system that improves the assignment of drivers to waste collection tours, taking into account their health preferences and route desires. This AI-driven tour matching system not only increases driver satisfaction by aligning work assignments with personal health needs but also reduces… Read more: Ideal Tour Matchings for Better Health

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

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

The “PharmaGPT” project aims to make medical information more accessible and understandable, particularly for groups such as the elderly and non-native speakers who struggle with the complex language of medicine package leaflets. To address this, a sophisticated AI-based Retrieval Augmented Generation (RAG) system was developed, capable of navigating and analyzing… Read more: Pharma GPT: Advanced Retrieval Augmented Generation with medical data