Connected Intelligence: Accelerating Enterprise AI throughout the cloud ecosystem

Enterprise AI has reached a critical turning point. As organizations move beyond basic generative AI experiments and shift into production, engineering teams face two core challenges: keeping token costs under control for complex queries while enforcing strict data security across multi-cloud setups. Traditional methods, like copying data or stuffing full schemas into LLM context windows, are proving too expensive, slow, and risky for enterprise environments. In Q3, Neo4j focused on eliminating these operational barriers through close collaboration with our strategic partners. Together, we expanded zero-copy graph reasoning directly into major cloud data warehouses, engineered per-user identity controls down to the database level, and drove significant co-sell…