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.
Rajeev Shrivastava Is Betting AI’s Next Breakthrough on the Lines Between the Dots
After years building products at Google, NICE inContact, Rackspace, and Satmetrix, TigerGraph’s CEO has a deceptively simple thesis: intelligence gets useful when it understands relationships.
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.
Sherman Ye
Sherman Ye is the Founder and CEO of NebulaGraph (vesoft Inc.), the company behind one of the world's most scalable open-source distributed graph databases. After engineering stints at Facebook and Ant Financial — where he worked directly on graph database infrastructure — Ye founded vesoft in 2018 to bring enterprise-grade graph database technology to a market hungry for connected-data insights. NebulaGraph can handle trillions of edges with millisecond latency, and counts Tencent, Meituan, and JD Digits among its users. Ye led the company through a $8M pre-A round in 2020 and a Series A in 2022 led by Jeneration Capital, while pioneering the GraphRAG concept that merges knowledge graphs with large language models.
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.
Gabe Gotthard
Gabe Gotthard is the CEO of DataWalk Inc., a graph analytics and AI-powered investigation platform used by top U.S. and European banks, national security agencies, and defense organizations to detect fraud, money laundering, and organized crime. With over 33 years in enterprise IT - including a stint at 3ParData (acquired by HP for $2.5B) where he coined 'utility storage' - Gotthard now leads a Wrocław-born, Silicon Valley-validated company that has displaced Palantir at the U.S. Department of Justice and earned Ally Financial's 2023 Technology Disruptor Award. Based in Redwood City, California, he is building DataWalk into a leading global alternative to Palantir for government and financial-sector intelligence work.