Participated · Series F · Jun 2021

Neo4j develops and sells graph-database management software that stores data as nodes, relationships, and properties to model real-world connections. Its products enable companies to build, orchestrate, and deploy knowledge graphs that ground AI with context and improve AI outputs. The company has invested in GraphRAG and new vector search features to help AI retrieve external data and capture similarity-based relationships for search, recommendations, and pattern detection. Neo4j says revenue has surpassed $200 million—double from three years ago—and expects to reach positive cash flow in the coming quarters. It claims a 44% share of the graph database market and counts 84% of the Fortune 100 among its roughly 1,700 customers; the company employs about 800 people. Valued at $2.2 billion, Neo4j plans to add more AI features next year and intends to go public eventually while remaining focused on growth. Neo4j offers a graph-centric database platform available as self-hosted software and a cloud service called Aura, alongside the Neo4j Graph Data Science Library for data scientists. The company emphasizes graph models that surface connections between data entities, which it says are critical for modern ML/AI, marketing, fraud detection and supply-chain analysis. Neo4j demonstrated "super-scaling" technology capable of querying a 200 billion-node graph with more than a trillion relationships to show real-time queries at extreme scale. It reports a developer community of hundreds of thousands actively building with Neo4j each month, about 800 enterprise customers, and that 75% of the Fortune 100 use its products. The company has been expanding partnerships with public cloud providers (notably Google Cloud) and opened an office in Singapore to accelerate sales in APAC. Neo4j said it will use new funding to double down on product development and deepen cloud and regional go-to-market initiatives. Neo4j started in 2007 as an open-source graph database project and has built a commercial business on top of that free core product. The company sells graph database software that helps customers map and analyze connections in large datasets and this year has begun expanding into artificial intelligence use cases. Neo4j counts roughly 200 enterprise customers, including Walmart, UBS, IBM and NASA, and serves 20 of the top 25 banks and 7 of the top 10 retailers. It offers both the downloadable base product and paid commercial offerings for enterprises. With new capital, Neo4j plans to expand internationally and provide localized customer service and localized websites to better serve customers in different languages and cultures. The company’s founder and CEO, Emil Eifrem, has framed growth around building a great company rather than focusing on exits.

Participated · Series D · Nov 2016

Neo Technology is the developer of Neo4j, an open-source graph database used to map and discover relationships across industries. Neo4j is deployed by customers including Walmart, banks and government organizations for fraud detection, NASA, and the International Consortium of Investigative Journalists (ICIJ) for parsing the Panama Papers. The company reports 2.5 million downloads, over 200 paying customers and thousands of production deployments. Headquartered in San Mateo, Neo began as a project inside a content-management startup in Malmö, Sweden; R&D remains in Malmö under co-founder Johan Svensson. CEO and co-founder Emil Eifrem said the company expected to be cash-flow positive by early 2017 and described the recent funding as an opportunistic upround to accelerate against growing competition. Neo positions its graph-storage paradigm as complementary to machine-learning and analytics stacks and plans to use the capital to accelerate growth and fend off rivals. Neo Technology builds and commercializes the neo4j graph database, an engine for representing relationships used in applications like e-commerce recommendations and master data management. The product began as an open‑source project in 2007 in Sweden and the company later expanded its commercial presence to California. Customers include large enterprises such as Walmart and Crunchbase. Co‑founder and CEO Emil Eifrem led the company through a transition from open source to a commercially focused business around 2011. Today the company has roughly 70–80 employees and plans to grow headcount to about 120 by year end. Management reports they have been doubling or tripling revenue every year since the 2011 transition. Neo Technology develops Neo4j, an open-source NoSQL graph database that models relationships between data entries. The product emphasizes relationship-aware structures useful for social graphs and master-data problems. It is used by projects such as the CDC’s SmartCare in Zambia, startups like Glassdoor, and enterprises including Cisco and Adobe. CEO Emil Eifrem says enterprise adoption has grown from two or three companies a year ago to over 20 Global 2000 enterprises today. The company is active in the graph community and is sponsoring the first Graph Connect conference next week. Neo4j originated from a Swedish military project and the company was founded in Sweden in 2007. Neo Technology delivers Neo4j, an enterprise open-source NoSQL graph database engineered to handle complex, connected data and scalable workloads. The product emphasizes a flexible, object-oriented network structure rather than strict, static tables and promises performance improvements for developers. Neo4j uniquely targets enterprise needs with mature transaction support and Java integration. The company positions Neo4j as able to solve connected-data challenges faced by application developers today. Neo Technology intends to use its new funding to fuel product development and to expand hiring. All descriptions and claims are sourced from the announced article. Neo Technology develops neo4j, a graph‑based database engine that models and queries complex relationships more naturally than relational databases. The company offers a commercial version called Neo plus services, training and support, and licenses the product under AGPLv3 with a dual‑license go‑to‑market approach. In demos the neo4j product queried every friend for 1,000 users (each with 50 friends) in 2ms versus 2,000ms for a traditional table database, and maintained 2ms when scaled to a million users and far more connections. The neo4j project has been in development for over eight years and the team has applied the technology in commercial environments for almost ten years. Neo Technology is taking the product to market and commercializing it while backing it with paid services and support. The company recently completed a new financing and previously raised a smaller public seed investment.