graph-analytics
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Naimuri: The £25 Million Software Company Built for Problems That Cannot Leak
Naimuri grew by solving the sort of data problems that arrive wrapped in security constraints. Six years after QinetiQ bought it, the Salford firm is applying its lean creed to cloud platforms, graph analytics and the awkward economics of AI.
The Startup Teaching Governments to Read the $20 Trillion They Can't See
Most financial crime hides in plain sight, scattered across the open web. IVIX built an AI platform that reads all of it at once - and hands governments a map.
Lynx Analytics
Lynx Analytics is a Singapore-founded, AI-native analytics firm built by INSEAD students and professors in 2010 to apply graph theory to hard business problems. Its flagship platform, LynxKite, turns very large datasets into graphs and runs hundreds of graph algorithms - many GPU-accelerated - to power everything from telecom churn prediction and fraud detection to drug discovery. Over the past few years the company has pivoted its focus toward AI-native consulting and products for pharma and life sciences, combining biomedical knowledge graphs, large language models, and NVIDIA's accelerated computing stack.
TigerGraph
TigerGraph is a Redwood City-based software company building a native, massively parallel graph database and analytics platform designed to find patterns across deeply connected data in real time. Founded in 2012 by Dr. Yu Xu, it powers fraud detection, anti-money laundering, customer 360, recommendation engines and, increasingly, the relationship-intelligence layer behind enterprise AI and GraphRAG. Its cloud-native platform, TigerGraph Savanna, lets organizations query trillions of edges with the GSQL query language across AWS, Azure and Google Cloud.
Neo4j
Neo4j is the company behind the world's most widely deployed graph database. It stores data as nodes and relationships rather than rows and tables, which makes connections - the part most databases treat as an afterthought - the main event. Used by a large majority of the Fortune 100 and a community of more than 250,000 developers, Neo4j powers fraud detection, recommendation engines, supply-chain analysis, and, increasingly, the knowledge graphs that ground generative AI in real facts (GraphRAG).
NebulaGraph, powered by Vesoft
NebulaGraph is an open-source, distributed graph database engineered by Vesoft for super-large-scale graphs - trillions of edges and vertices - with millisecond latency. Born in 2018 and shipped on GitHub in 2019, it powers graph workloads at Tencent, Meituan, JD Digits, Kuaishou and hundreds of other enterprises tackling fraud detection, recommendation, knowledge graphs and graph RAG.
DataWalk
DataWalk is a graph- and AI-enabled analysis and investigation platform that unifies disparate data sources so analysts at banks, insurers, and government agencies can spot hidden relationships, run no-code queries, and pursue fraud, money laundering, and threat investigations at scale.