Clusters & Capital

Why Clusters & Capital

Clusters & Capital operates at the intersection of AI workloads, compute infrastructure, and capital. The company works across the AI infrastructure ecosystem with AI companies, compute providers, developers, capital partners, and public-sector stakeholders.

Anthony Giuliani learned this firsthand while building a frontier AI model company from the ground up. Compute shaped which ideas could be tested, how quickly products could reach customers, where limited capital was deployed, and whether the company could execute its strategy without accepting the wrong commitments or unnecessary dilution.

Across the AI infrastructure market, these become interconnected decisions:

Yet the market often treats these decisions separately. A company can have talented people working on each part and still lack the specialized experience required to evaluate a compute opportunity as a whole.

Partnership teams can identify providers and build relationships, but they rarely specialize in structured finance. Finance teams may excel at budgeting and fundraising without experience evaluating equipment financing, credit structures, collateral, or downside risk. Outside counsel may interpret the legal language without having the market experience required to negotiate compute-specific commercial terms.

Having experienced these gaps firsthand, Anthony created Clusters & Capital to bridge them: identifying what is missing, bringing the right stakeholders to the table, and aligning workload demand, infrastructure, and capital around a shared objective.

Clusters & Capital exists to bridge the gaps between AI demand, compute infrastructure, and capital, so workloads find capacity, infrastructure finds demand, and viable projects find financing.

Anthony Giuliani

About Anthony

Anthony Giuliani is an attorney, technology operator, and company builder whose experience spans frontier AI, compute infrastructure, capital formation, legal strategy, and international expansion.

Anthony helped build Twelve Labs from before its formation, working alongside its technical founders as an ambitious research vision became a global AI company. He served as a founding advisor, became its first U.S. employee, and later led global operations.

His work crossed machine-learning research, compute strategy, infrastructure procurement, commercial operations, legal agreements, fundraising, and international expansion. He worked alongside scientists planning training runs, commercial teams forecasting inference demand, providers supplying scarce capacity, and investors determining how capital should be deployed.

This experience included helping make Twelve Labs one of MosaicML’s earliest customers and working on securing H100 capacity as the company’s training and inference requirements grew. In 2021, Twelve Labs took first place in the Video Retrieval Track of the Microsoft-sponsored ICCV VALUE Challenge despite operating with limited compute resources.

Anthony also helped shape the company’s operating model, expand its presence across the United States and Asia-Pacific, support enterprise strategy, and contribute to financing initiatives totaling $215 million. Twelve Labs’ investors include NVIDIA, Intel Capital, Samsung, Databricks, Snowflake, NEA, Radical Ventures, and Index Ventures.

Before Twelve Labs, Anthony served as general counsel for a fintech company. His background also includes public service as Special Assistant to the Texas Secretary of State, where he worked on international engagement and economic-development initiatives focused on attracting foreign direct investment to Texas, advancing international trade, and connecting government and private-sector leaders across global markets.

Compute infrastructure is global and relationship-driven. Anthony’s experience living and working in the United States and South Korea, studying at Tecnológico de Monterrey in Mexico, living in South America, and operating across Europe and Asia informs how he develops understanding and builds relationships across companies and markets.

His combined experience enables him to see compute not as an isolated procurement decision, but as an operating, legal, commercial, and capital decision with consequences across the entire business. Clusters & Capital brings that perspective and those relationships to the intersection of AI workloads, compute infrastructure, and capital.