The race to build the next-generation AI infrastructure is on, and a growing roster of high-profile investors is betting big on the companies laying its foundation.
With companies set to pour nearly $7 trillion into AI-related research and development and capital expenditures over the next five years, there is an understandable urgency among investors to target the sector.
Among the more notable of these investors are James Rothschild, Glenn Fuhrman and Adam Silverschotz of Tru Arrow Partners in New York. The firm recently invested in DataHub, the open-source metadata platform that’s rapidly becoming a core part of enterprise AI systems. Datahub’s acquisition of $35 million in Series B funding, a round that was led by Bessemer Venture Partners and included participation from Tru Arrow Partners, is part of the wave of strategic capital flowing to companies and platforms that can power AI at scale. There is an undeniable demand for robust, scalable data management solutions capable of supporting machine-scale AI workloads.
For Rothschild and his partners at Tru Arrow, this deal is the latest in a series of investments aimed at the backbone of the AI economy. Earlier this year, Tru Arrow participated in a $100 million round for Dream Security, a company leveraging Cyber Language Models (CLMs) to defend against cyber threats in real time. DataHub’s mission aligns with that focus: delivering real-time data management tools that are AI-native, secure, and compliant.
As AI models become larger and more complex, they require vast, interconnected systems that can handle massive data flows and ensure reliability, transparency, and trust. In DataHub, investors see a metadata platform that offers a unified view of data lineage, quality, and semantics, enabling AI systems to make sense of the information they rely on. With an event-driven architecture that updates systems in near-real time, DataHub is a step ahead of legacy solutions, which struggle to keep pace with AI’s demands.
This type of infrastructure is critical. Global spending on AI data centers alone is expected to top $1.4 trillion by 2027, driven by the need for specialized compute power, distributed storage, and ultra-fast networking. Cloud providers and semiconductor firms are racing to deliver AI-ready capacity, while governments and investors view AI infrastructure as a vital asset class with long-term economic impact.
DataHub’s rapid growth speaks to that opportunity. Over the past two years, the company’s enterprise managed service has grown sixfold, while its open-source community has expanded fiftyfold to over 13,000 members. Major enterprises like Apple, Netflix, Pinterest, and Slack are already leveraging DataHub to support their AI deployments. With its new funding, DataHub plans to accelerate R&D, expand its go-to-market operations, and invest in its community, solidifying its position as a key player in the AI infrastructure space.
There is an urgency to bet on the picks and shovels of the AI gold rush. As the technology moves from cutting-edge research into mission-critical enterprise systems, the real winners may not be the ones building the latest AI models, but those who ensure these systems can operate safely, reliably, and at scale.
Tru Arrow’s stake in DataHub is one of many signals to the market that the infrastructure underpinning AI is where the smart money is headed. There is a pioneering excitement among companies and investors, as they pave the way for a new system of managing our security, our economy, and our society.
