Neo4j Invests $100M in GenAI Expansion, Launches New Products and Startup Program

Neo4j Launches agent builder, MCP server and startup program backed by $100M investment - SiliconANGLE

Neo4j Launches agent builder, MCP server and startup program backed by $100M investment Graph database provider Neo4j Inc. today announced that it will invest $100 million to accelerate its role as what it calls the "default knowledge layer" for agentic systems and generative artificial intelligence. The move is intended to fund product development, support startups and expand executive leadership as enterprises push to operationalize artificial intelligence at scale. The company said the investment, which was approved by its board, is drawn from its existing core business rather than external funding. Neo4j said it passed $200 million in revenue in 2024, and reported six-fold growth in generative AI customers over the last year. The reinvestment comes at a time when many organizations are struggling to move beyond pilot projects, often because models lack context and memory, which are capabilities that graph technology is designed to provide. "Agentic systems need contextual reasoning, persistent memory and accurate, traceable outputs, all of which graph technology is uniquely designed to deliver," said Emil Eifrem, Neo4j's co-founder and chief executive. The company also introduced two offerings designed to simplify the process of building AI agents that operate on enterprise data: Neo4j Aura Agent enables organizations to build, test and deploy agents grounded directly on their enterprise data. It's based on Graph retrieval-augmented generation, an advanced AI technique that enhances large language models by integrating them with knowledge graphs to provide more accurate, contextually rich, and deterministic responses. The offering, which is now in preview, includes automated orchestration and Artificial Intelligence for IT Operations for graph-based knowledge retrieval. General availability is expected later this year. The new Model Context Protocol Server for Neo4j integrates graph-based memory and reasoning into existing AI applications. It supports natural language queries, auto-generation of graph data models, persistent memory and automated database management. A supported version will be released in the fourth quarter. The company also launched a startup program that it says will cover one of the largest dedicated cohorts of AI-native ventures to date. Neo4j said more than 1,000 startups are expected to join over the next 12 months. Participants receive access to cloud credits, technical support and business assistance. The program has already enrolled 142 startups. "Eight out of ten GenAI-native startups I speak with are re-platforming on Neo4j," said David Klein, co-founder of One Peak Partners LLP and a Neo4j board director. Graphs model entities and their relationships, making them useful for building AI agents that require structured memory and contextual reasoning. Graph databases link information in a network of nodes and edges, enabling agents to trace connections, infer relationships and preserve context over time. This approach underpins explainable and persistent AI behaviors, which are critical in enterprise environments. Neo4j said its technology is already supporting autonomous agent deployments at companies including Uber Technologies Inc., Walmart Inc. and Klarna Inc., where they process large volumes of interconnected data spanning customers, transactions and operations.

Neo4j Announces $100 Million Investment to Drive GenAI Expansion | AIM

Neo4j is investing to launch new agentic products and support 1,000 AI-native startups, marking its biggest GenAI push yet. Neo4j, the graph intelligence platform, has announced a $100 million investment to accelerate product innovation and support AI-native companies through one of the largest startup programs of its kind. The investment will fund new offerings, including Neo4j Aura Agent and Model Context Protocol (MCP) Server, designed to simplify how enterprises build AI agents grounded in their own data. The company said these tools address persistent challenges in enterprise AI adoption, such as siloed data and lack of contextual reasoning, which MIT research has linked to high pilot failure rates. "Agentic systems are the future of software. They need contextual reasoning, persistent memory, and accurate, traceable outputs, all of which graph technology is uniquely designed to deliver," said Emil Eifrem, co-founder and CEO, Neo4j. Neo4j reported significant customer momentum, with six-fold growth in GenAI customers over the past year, 58% revenue growth in cloud consumption, and more than half of its top 100 customers expanding their footprint in 2025. Its technology already powers agentic deployments at Uber, Walmart, and Klarna. The company also launched a Startup Program that will support over 1,000 AI-native companies worldwide in the next 12 months, offering cloud credits, technical enablement, and go-to-market support. The program has already onboarded 208 members, including Firework, Hyperlinear, and Rivio. Alongside the investment, Neo4j announced leadership changes, including the promotion of Sudhir Hasbe to President and Chief Product Officer, and the appointment of Ajay Singh, formerly of Databricks, as Head of Global Field Engineering. The company also highlighted that Neo4j surpassed $200 million last year, with board members citing strong performance and market adoption as the foundation for this reinvestment.