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If your team is trying to benchmark an evergreen fund right now, you already know how hard it is.
You can pull a peer's marketing materials, but they're not comparable. You can ask the manager for a peer set, but the manager picks the comparison. You can search regulatory filings, but the data is scattered, formatted differently across managers, and missing the 100 or so vehicles that operate as evergreen funds without being classified that way in their filings.
Every team is in this position.
And it's getting harder, not easier, because evergreen vehicles, open-end fund structures that accept capital continuously and offer periodic liquidity, have moved from a niche format to one of the fastest-growing distribution channels in private markets.
Three forces are pushing the urgency, and Dakota Marketplace built the evergreen dataset to address all three.
For a broader view of how Dakota tracks evergreen funds, book a demo here.
RIAs, family offices, and wealth platforms are increasingly allocating client portfolios to private equity, private credit, real estate, and infrastructure, and they need liquidity structures that match client cash flow needs.
Evergreen vehicles are the answer.
As wealth channel allocations grow, so does evergreen AUM, and so does the obligation on advisors to compare these vehicles against true peer sets, not against manager-supplied marketing materials. Without standardized data, that obligation is impossible to meet.
If you're building an evergreen product, you're launching into a peer set that has scaled fast. Every major private markets manager has either launched or is building one.
Without visibility into how peers are structuring vehicles, pricing fees, calibrating liquidity terms, or pacing capital formation, you're working blind in the most contested distribution segment in private markets.
Allocators are no longer accepting manager-provided materials as the only data point in evergreen due diligence. Independent, standardized benchmarking has moved from aspiration to working requirement.
For LPs, that means evergreen evaluation now requires a peer universe you've built independently. For GPs, it means knowing where your vehicle sits in that distribution before the meeting, not after.
Dakota Marketplace tracks 450+ evergreen funds across private equity, private credit, real estate, and hybrid strategies. The dataset includes more than 100 vehicles that no prior dataset had classified as evergreen.
Every fund was sourced from public regulatory filings, manually reviewed, classified, and standardized for peer comparison. There was no shortcut to building it, and there isn't one to maintaining it. The dataset updates daily as new filings are published and new vehicles enter the market.
What you get for every fund:
For LPs and allocators, the practical use is benchmarking what you own against what the full market is delivering. For GPs and fund managers, it is seeing where your vehicle sits in the competitive set, including peers your LPs have not mentioned in meetings.
Evergreen vehicles have crossed the threshold from emerging format to core private markets distribution channel. The teams that build benchmark-grade visibility into their workflows now will work with a clearer view of the market than competitors still relying on anecdote and manager-supplied materials.
To see the evergreen dataset, book a demo of Dakota Marketplace!
Written By: Morgan Holycross, Marketing Manager
Morgan Holycross is a Marketing Manager at Dakota.
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