Neo4j has announced a US $100 million investment to accelerate its role in GenAI with new agentic AI offerings and one of the largest start-up programmes for AI-native companies.
Neo4j has announced a US $100 million investment to accelerate its position as the default knowledge layer for agentic systems and critical infrastructure for generative AI (GenAI).
This investment funds product innovation, including two new agentic offerings, and the launch of one of the largest start-up programmes for AI-native companies to date, supporting 1,000 start-ups worldwide over the next 12 months.
The investment comes as enterprises struggle to move GenAI from pilot to production, with MIT research finding that 95% of pilots fail to deliver returns. The report highlights ‘model quality fails without context’ and points to a lack of memory and contextual learning as among the biggest reasons for failure. Neo4j closes this gap as the infrastructure layer enterprises need to reduce wasted AI spend, ensure accurate explainable outcomes and scale AI into real-world use.
“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 transforms disconnected data into actionable knowledge, and this investment allows us to advance that vision faster.”
New products reduce complexity in building AI agents
Neo4j announced two new offerings that address a major enterprise AI challenge: the difficulty of building intelligent agents grounded in organisational data.
Many enterprises face obstacles in building AI agents, from data locked in silos to disconnected tools and a shortage of specialised expertise. Neo4j’s new offerings reduce those barriers.
- Neo4j Aura Agent is a new offering in early access that enables users to build, test and deploy AI agents grounded directly on their enterprise data in minutes. Specifically, it provides end-to-end automated orchestration and AIOps for graph-based knowledge retrieval. General availability is expected in Q4 this year.
- Model Context Protocol (MCP) Server for Neo4j integrates graph-based memory and reasoning into any existing agent or AI application. It supports natural language querying, auto-generated graph data models, memory persistence and automated management of Neo4j AuraDB instances. A fully supported version is available in Q4.
Together, Aura Agent and MCP Server provide enterprises with a faster, more reliable path to exploring agentic AI that is accurate, explainable and production ready.
“Enterprise knowledge graphs represent critical infrastructure for reliable agentic AI,” said Conor O’Shea, AI Architect, Daimler Truck.
“At Daimler Truck North America, we’ve seen how Neo4j’s graph capabilities bring the accuracy and contextual reasoning that AI systems need to operate effectively in complex business environments. I’m excited to see how Neo4j Aura Agent and MCP Server will make these capabilities more accessible to enterprises building their next generation of intelligent applications.”
“Neo4j Aura Agent promises to improve healthcare by designing and deploying AI agents that create comprehensive knowledge graphs from our trusted biomedical knowledge. With new ways to interrogate these graphs, researchers can approach drug discovery in ways that were impossible before. That’s what makes this so promising for drug discovery and healthcare,” said Nitin Sood, Senior Vice President, Head of Product Portfolio and Innovation, QIAGEN.
Start-up programme to support one of the largest AI-native cohorts
Neo4j also announced a new Start-up Programme that will form one of the largest dedicated cohorts of AI-native companies to date, selecting and supporting more than 1,000 start-ups worldwide over the next 12 months. Participants receive access to cloud credits, technical enablement and go-to-market support to help them build and scale agentic systems with graph technology.
“Eight out of ten GenAI-native start-ups I speak with are re-platforming on Neo4j,” said David Klein, Co-Founder and Managing Partner at One Peak and a Neo4j Board Director.
“They tell me that it’s the natural choice when you’re serious about building intelligent systems with context and memory.”
The Start-up Programme is now live at neo4j.com/startups. It has 208 members, including Firework, Garde-Robe, Hyperlinear, Mem0, OKII, Rivio and Zep.
“Rivio builds AI agents that navigate the complex relationships in procurement, spanning suppliers, contracts, pricing, compliance and market dynamics,” said Hala Jalwan, Co-Founder and CEO, Rivio.
“Neo4j enables us to model that complexity with the accuracy our customers require.”
Customer adoption reflects graph’s role in GenAI
Neo4j is trusted by 84 of the Fortune 100 and more than half of the Fortune 500. It powers autonomous agentic deployments at Uber, Walmart, Klarna and others, providing the structured memory, relationships and context needed for agents to reason, act and remember – the foundation for production-grade agentic AI.
In the last 12 months, Neo4j has seen:
- 6X growth in GenAI customers
- 58% revenue growth in cloud consumption
- 82% growth in Product Led Growth (PLG)
- 56% of its top 100 customers have increased their Neo4j footprint in 2025
“We are seeing the reemergence of continuous learning and improvement at enterprise scale, but this time, fuelled by AI, operationalised through agents, structured in graphs and enriched with live telemetry,’ said Charles Betz, VP Principal Analyst, Forrester, in a 2025 blog.
“The graph is essential. It is the skeleton to the LLM’s flesh.”
Investing from strength and board conviction
Neo4j surpassed US $200 million in revenue in 2024, underscoring the breadth of its enterprise adoption and the financial strength that enables reinvestment at this level. The company’s US $100 million board-approved investment reflects performance and conviction that graph is foundational for large-scale GenAI production.
“Neo4j is transforming how enterprises turn data into knowledge, which is essential for AI to work at scale,” said Patrick Pichette, Partner at Inovia Capital, former CFO at Google and Neo4j Board Director.
“This investment reflects our conviction that Neo4j is building a generational company, with the right leadership, market traction and technology to lead in agentic AI.”
