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Turbine Emerges From Stealth With $121.75M In Growth Funding And Strengthens Liquidity Solutions

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Turbine Finance Corp. emerges from stealth with $121.75 million in combined equity and credit funding to provide liquidity solutions for private equity and venture capital investors. Its platform uses machine learning to enable GPs and LPs to borrow against illiquid fund positions without exiting investments. Backed by firms like Alpha Edison and a $100 million facility from SVB, Turbine targets scalable growth across the alternative asset market.

How Turbine Quietly Builds a Platform That Tackles Private Market Liquidity Head-On

Turbine Finance Corp., a liquidity platform driven by data science, has operated under the radar until now. Based in Santa Monica, California, the company is designed to unlock liquidity for alternative asset investors, particularly within private equity and venture capital markets. Its product allows both general partners (GPs) and limited partners (LPs) to access capital traditionally locked in illiquid fund positions.

The platform’s launch comes amid a global private equity market holding more than $13 trillion in assets, much of which remains inaccessible without secondary sales or complex liquidity events. Turbine enables investors to access capital on a more flexible timeline without divesting from their existing positions.

Inside the $121M+ Backing: Who Bets Big on Turbine and Why

Turbine has secured $21.75 million in equity funding, combining $13 million from its Series A and a previously unannounced $8.75 million in seed funding. The Series A round is co-led by Alpha Edison and TTV Capital, with participation from Fin Capital, B Capital, and Sozo Ventures.

In addition to equity funding, Turbine has obtained up to a $100 million warehouse facility from Silicon Valley Bank (SVB), a division of First Citizens Bank. The warehouse credit line will support lending operations to GPs and LPs using Turbine’s platform.

What Makes Turbine’s Platform Different from Traditional Fund Lending

Turbine’s underwriting system is driven by machine learning and data science, allowing it to compress months of traditional analysis into a few days. This approach generates accurate, insight-driven evaluations of fund performance and asset values.

The platform enables GPs and LPs to borrow against current fund investments without selling or liquidating positions. LPs can use borrowed capital to make new fund commitments or fulfill existing capital calls. Turbine’s offering removes the friction in accessing liquidity from long-term fund structures while keeping investors fully exposed to the asset.

Turbine works directly with investment firms to structure and secure loans, using a proprietary, technology-enabled process that emphasizes efficiency and precision.

How Turbine’s Model Helps Investors Stay Invested Without Sacrificing Flexibility

The structure enables investors to maintain exposure to high-performing funds while unlocking access to capital. This serves investors who need short-term liquidity or want to take advantage of new investment opportunities without exiting existing positions.

Key benefits include:

  • Borrowing against active fund investments
  • Fulfilling capital calls without selling other assets
  • Committing to new funds or SPV allocations with previously illiquid capital

This approach creates optionality for both LPs and GPs operating in traditionally rigid investment structures.

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Who’s Behind Turbine: A Proven Fintech Team with Deep Industry Roots

Turbine is led by Mike Hurst, a fintech founder and investor who previously served as the CEO of Exactuals, a global payments company serving the entertainment industry. The team also includes veterans from Silicon Valley Bank, City National Bank, and multiple fintech startups.

TTV Capital’s Gardiner Garrard highlighted the consistency in Hurst’s approach, noting similarities between Turbine and the strategies that made Exactuals successful. The firm views Turbine’s leadership as capable of building a scalable platform for liquidity solutions in private finance.

Why Timing Matters: The Market Context That Makes Turbine’s Launch So Strategic

Turbine enters the market at a time when venture capital and private equity investors face increasing pressure to manage liquidity. Traditional methods of accessing capital from fund investments are limited, often involving complex or delayed secondary transactions.

Nate Redmond, Managing Partner at Alpha Edison, emphasized that Turbine eliminates the trade-off between high returns and limited liquidity. The lending tools Turbine introduces are more commonly associated with public markets and real estate, now made available to the venture ecosystem.

Turbine Sets Its Sights on Scalable Growth and Deep Fund Integration

The newly secured capital will fund the full deployment of the $100 million warehouse line and expand the company’s data science team. Turbine is actively targeting established venture capital funds led by experienced managers for early partnerships.

Its strategy involves direct integration with funds, allowing them to extend Turbine’s lending capabilities to their LPs and GPs. Turbine plans to rapidly scale across segments of the private equity and venture capital market that have been underserved by traditional lending infrastructure.

Why Turbine Finance Corp. Draws Attention in a Liquidity-Starved Market

Turbine introduces a model that enables capital access without forcing asset sales. Its use of machine learning and direct fund partnerships streamlines what has traditionally been a slow, opaque process. By combining structured lending with deep data analysis, Turbine makes liquidity an accessible option for investors with capital locked in private markets.

The company’s early support from major fintech investors, alongside backing from SVB, reinforces confidence in the viability and scalability of its approach. Turbine positions itself as a data-driven solution in a market that demands smarter capital access tools.

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