Services & Expertise
Graph AI
We integrate graph technologies with artificial intelligence and LLM’s, offering cutting-edge solutions that combine these domains to tackle complex data challenges. By implementing Retrieval-Augmented Generation (RAG) over graphs, we enhance AI capabilities with the rich contextual information from graph structures, delivering more accurate and relevant results for applications like natural language processing, recommendation systems, and predictive analytics. Using state-of-the-art tools such as LangGraph, Microsoft graphRAG, and LlamaIndex, we create robust, scalable solutions tailored to your specific needs, ensuring you maximize the value of your data.
Graph Visualization
We develop graph user experiences and compelling enterprise data visualizations on top of high-end frameworks like yFiles, Linkurious (Ogma) and Go.js. By combining graph ML, graph databases and smart visualizations we help with fraud prevention, anti-terrorism, operational intelligence, forensic analysis, marketing optimization, anomaly detection and more.
Graph Databases
We assist in developing ontologies, knowledge management solutions, operational intelligence, and more. Whether you favor semantic databases or property graphs, we collaborate with leading partners like Neo4j, Amazon Neptune, Memgraph and TigerGraph to craft tailored solutions. For startups and enterprises alike, we create innovative software and custom intellectual property using cutting-edge technologies.
Graph Machine Learning
We leverage advanced machine learning techniques on graph-structured data to predict connections and attributes, a process known as graph representation learning. This approach is essential for developing systems that can learn, reason, and generalize from complex, interconnected data. By merging scientific expertise with exceptional user experience design and over 20 years of industry-spanning experience, we transform connected data into actionable intelligence and valuable business insights.
Graph Analytics
We help companies approach challenging graph-related problems and developed solutions involving natural language processing (bots e.g.), PhD-level techniques to optimize digital marketing, big-data graph mining solutions towards fraud detection, custom graph machine learning models and more. We understand how to find the needle in your graph data haystack.