Neo4j Announces $100 Million Investment to Accelerate GenAI Innovation

New Delhi, October 6: Leading graph intelligence platform Neo4j has announced a $100 million investment to strengthen its position as the default knowledge layer for agentic systems and critical infrastructure for generative AI (GenAI). The investment will fund two new agentic offerings — Aura Agent and Model Context Protocol (MCP) Server — and support one of the largest global startup programs for AI-native companies, benefiting 1,000 startups over the next year.

The move comes as enterprises worldwide struggle to move GenAI from pilot to production. A recent MIT study found that 95% of GenAI pilots fail to deliver returns due to a lack of contextual learning and memory. Neo4j aims to fill that gap by providing the structured knowledge infrastructure enterprises need to reduce wasted AI spend and scale real-world deployments.

“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 of Neo4j. “This investment allows us to advance that vision faster.”

Neo4j’s technology already powers autonomous agentic deployments at Uber, Walmart, and Klarna, enabling structured memory, relationships, and context for AI reasoning. The company reported 6X growth in GenAI customers, 58% revenue growth in cloud consumption, and 82% growth in product-led expansion in the past year, with over half its top 100 customers increasing their Neo4j footprint in 2025.

New Agentic Offerings
The company’s two new products — Aura Agent and MCP Server — are designed to simplify how enterprises build intelligent AI agents grounded in their own data.

• Neo4j Aura Agent, now in early access, enables users to build, test, and deploy AI agents in minutes using automated orchestration and AIOps for graph-based knowledge retrieval.
• MCP Server for Neo4j integrates graph-based memory and reasoning into any existing AI agent or application, supporting natural language queries, auto-generated graph data models, and persistent memory. Both offerings will be generally available in Q4.

Industry leaders are welcoming the launch. Conor O’Shea, AI Architect at Daimler Truck, said, “Neo4j’s graph capabilities bring the accuracy and contextual reasoning that AI systems need to operate effectively.” Nitin Sood, SVP at QIAGEN, added that Aura Agent could transform biomedical research by enabling AI-driven drug discovery based on trusted knowledge graphs.

Global Startup Program
Neo4j also launched a Startup Program to support over 1,000 AI-native startups globally through cloud credits, technical enablement, and go-to-market support. The program already has 208 members, including Firework, Garde-Robe, Hyperlinear, and Rivio. “Eight out of ten GenAI-native startups I speak with are re-platforming on Neo4j,” said David Klein, Co-founder and Managing Partner at One Peak.

Leadership and Growth
To drive the next growth phase, Neo4j promoted Sudhir Hasbe to President and Chief Product Officer and appointed Mark Woodhams as Chief Revenue Officer and Ajay Singh (ex-Databricks) as Head of Global Field Engineering.

Having surpassed $200 million in revenue in 2024, Neo4j’s board-backed investment underscores its conviction that graph technology is foundational for enterprise-scale GenAI. Patrick Pichette, Partner at Inovia Capital and former Google CFO, said, “Neo4j is transforming how enterprises turn data into knowledge. This investment reflects our conviction that it’s building a generational company poised to lead in agentic AI.”