E321: Why Most LPs Have No Idea What’s in Their Portfolio

10 Mar 2026 · 22 min · 13 chapters

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In short

Podcast Summary: How I Invest with David Weisburd - E321: Why Most LPs Have No Idea What’s in Their Portfolio

Episode Overview In this episode, host David Weisburd interviews Ryan Eisenman, Co-Founder and CEO of Arch, a platform supporting clients in managing alternative investments. The discussion revolves around the operational complexities in private markets and how Arch aims to modernize the infrastructure through advanced data management and analytics.

Key Concepts

  • Operational Complexity in Private Markets: Many Limited Partners (LPs) still rely on outdated methods, like spreadsheets and manual data entry, to track their investments, leading to inefficiency and lack of insight.
  • Arch’s Role: Arch supports over 550 clients managing more than $405 billion in alternative assets, providing automated solutions for tracking and reporting investment data across various asset classes, including private equity and hedge funds.
  • AI Integration: The platform employs AI to streamline data extraction from complex financial documents, enhancing the decision-making process for LPs.

Main Discussion Points

The Current State of Data Management for LPs

  • Manual Processes: LPs are often required to log into multiple platforms (e.g., Interlinks, Carta) and manually collect data, creating inefficiencies.
  • Data Fragmentation: Reporting from different funds often lacks consistency, making it difficult for LPs to consolidate and analyze their portfolios.

Benefits of Arch’s Platform

  • Time Saving: By automating data collection and reporting, LPs can focus on strategic decisions rather than administrative tasks.
  • Improved Decision Making: Arch provides dashboards and analytics that help LPs understand their investment performance, liquidity needs, and future allocation strategies.
  • AI Tools: Automated analysis of investment documents helps LPs quickly identify critical information, facilitating better investment decisions.

Challenges in Private Markets

  • Liquidity Issues: A significant drop in capital commitments to venture funds has been observed, leading to challenges for new fund managers in raising capital.
  • Lack of Standardization: There is no consistent standard for how private fund data is reported, complicating the valuation and management of these investments.

Evolving Investment Trends

  • Independent Sponsors and Co-Investments: There is a growing interest among LPs to invest in independent sponsors or through co-investment opportunities instead of traditional blind pool funds.
  • Increased Demand for Secondary Markets: A rise in secondary market activity is noted as LPs seek liquidity and better management of their investments.

Future Considerations

  • Emerging Structures: LPs are increasingly deploying capital into new structures and strategies, such as fund-of-funds and independent sponsors.
  • Liquidity Solutions: As more capital is tied up in private markets, there is a burgeoning need for innovative financial products to provide liquidity against private assets.

Key Takeaways

  • Efficient data management and reporting systems are essential for LPs to remain competitive in private markets.
  • The integration of AI and automation has the potential to significantly enhance investment decision-making processes.
  • Understanding and managing liquidity risks is crucial, especially as LPs navigate changing market dynamics and investment preferences.

Closing Remarks Ryan Eisenman emphasizes the importance of adapting to the evolving landscape of private markets. He expresses optimism about the future, particularly regarding liquidity and the efficiency of private market interactions as more innovative solutions are developed.

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By focusing on modernizing the operational landscape of private markets, Arch is positioned to help LPs navigate complexities and improve their investment strategies. The conversation highlights a pivotal moment for investors as they seek greater transparency and efficiency in their portfolios.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Understanding Arch's Role in Portfolio Management

0:45 to 3:05

Learn how Arch simplifies tracking and managing alternative investments for LPs.

“We go get all that data and that information on the LPs behalf.”

The Challenges of Data Management in Private Investments

3:05 to 8:54

Explore the complexities LPs face in managing private fund data and performance.

“investing is seeing what's shifting before everyone else does.”

Evolving Trends in Private Markets

12:15 to 14:00

Discuss the emerging trends and strategies in private markets and LP investment.

“And one of the kind of issues with ILPA adoption is ILPA is really only pushed by large institutional LPs.”

Investment Structures and Their Appeal

14:00 to 14:54

Learn about the advantages of deal-by-deal structures and independent sponsors in private markets.

“with clients with LPs, but they are, we're seeing them deploy more in kind of deal by deal structures and independent sponsors.”

Opportunities in Private Markets for 2026

14:55 to 15:32

Discover the expected liquidity events and their potential impact on private market investments.

“I think there's just a huge amount of opportunity.”

The Liquidity Challenge for LPs

15:33 to 16:43

Understand the current liquidity issues faced by Limited Partners in deploying capital.

“Just to put some more meat on the bone, historically, the Yale, the David Swenson model required roughly 24 % liquidity.”

Secondary Market Trends in Private Equity

16:44 to 17:41

Examine the rising trend of secondary markets and their implications for LPs and investors.

“Now maybe it's like a 20 or 15 percent discount to NAV.”

Challenges in Borrowing Against Private Assets

17:42 to 19:04

Learn why borrowing against private market assets is challenging compared to public assets.

“But if I have private exposure, I essentially can't borrow anything against my private exposure.”

Innovations in Liquidity Solutions

19:05 to 19:57

Explore emerging solutions for providing liquidity in private markets through innovative products.

“It seems to me that somewhere between zero and 100, some basket of private assets should be able to be bundled together to loan against.”

Utilizing AI to Enhance Data Management

19:58 to 21:44

Discover how AI can streamline the processing and reporting of qualitative and quantitative data.

“How are you using AI to streamline this process?”
Show all 13 chapters

Data Accuracy and Its Importance

21:45 to 22:31

Understand the discrepancies between data feeds and actual documents in financial reporting.

“So documents are really a source of truth and data feeds are oftentimes wrong.”

Early Lessons in Entrepreneurship

22:32 to 23:18

Gain insights into early-stage challenges and advice for startup founders in the finance sector.

“you'd give a younger version of yourself that would have either helped you accelerate your career or helped you avoid custom mistakes?”

Hiring Strategies for Startup Success

23:19 to 24:42

Learn effective hiring strategies and the importance of cultural fit in building a strong team.

“I think we were lucky that we haven't really made that many big mistakes from a personnel perspective.”
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Transcript

Automatic transcript. May contain errors.

0:00Ryan Eisenman:So for context, give me a sense for how big Arch is today.

0:04David Weisburd:Today we support about 550 clients. Our clients have$405 billion in assets on the platform. We're a solution for tracking, managing, and automating all the paperwork around alternative investments. So the assets we serve are stakes in private equity, hedge funds, venture, credit funds, some crypto, anything that's not a stock or bond.

0:25Ryan Eisenman:So you support$405 billion in assets. Tell me about what that looks like.

0:31David Weisburd:Without Arch and PreArch, a lot of LPs are logging manually into all these different data rooms. They're going into Interlinks, Carta, Juniper Square, platforms that are not necessarily built for LPs to understand their investments. And they're getting PDFs that they then have to read and put into spreadsheets. We go get all that data and that information on the LPs behalf. behalf. Our clients are global banks, RAAs, about 200 single family offices, institutional allocators. And they use us to get all the information from these different funds and their fund platforms, structure it, standardize it, and then give them dashboards, analytics, and insights on their portfolio.

1:08David Weisburd:So we become kind of like the Schwab-like operating system, bringing to private markets what platforms like Schwab and Robinhood brought to public markets.

1:17Ryan Eisenman:How does that practically help LPs?

1:21David Weisburd:One, it saves them a lot of time. So instead of having to hire analysts who spend a lot of their day going into portals and platforms, they can now have that process automated for them. The second thing is it's really hard to make good decisions if you don't understand your data and understand the signal within your data. And so it could be things like, has this manager performed or how much unfunded commitments do I have across these investments or these entities down to how much SpaceX do I have in my portfolio? and how much drive do I have? And am I a net buyer or seller at this price? So we give our clients an unfair advantage as they look at the market by helping them understand their existing data and then also power some of their future facing decisions.

2:04Ryan Eisenman:What are some second order effects of that?

2:07David Weisburd:Well, it's hard for people to make allocations to new funds if they don't know how much they owe to pass funds. So a lot of folks don't have good understanding of the liquidity needs in their portfolio. And do they have$1 million or$5 million or$10 million of net commitments that are going to be called in the next one, three, five years? So that's one important consideration. The second is being able to understand the performance of the funds that you're in when you're looking to re-up within those managers. And they're also introducing AI tools around evaluating new opportunities. So when a manager sends you their docs, it's 100-page limited partner agreements that have deeply buried on page 69, the terms and the carry and how expenses are treated within the fund.

2:49David Weisburd:We can use AI and a specialized AI model to pull that out automatically and give people a full readout of what should I know about this fund as I'm looking to invest. And so those are some of the newer tools that we're developing around driving better decisions through data.

3:05Ryan Eisenman:One of the hardest things of investing is seeing what's shifting before everyone else does. For decades, only the largest hedge funds could afford extensive channel research programs to spot inflection points before earnings and to stay ahead of consensus. Meanwhile, smaller funds have been forced to cobble together ad hoc channel intelligence or rely on stale reports from sell-side shops. But channel checks are no longer a luxury. They're becoming table stakes for the industry. The challenges have always been scale, speed, and consistency. That's where AlphaSense comes in. AlphaSense is redefining channel research instead of static point-in-time reports alpha sense channel checks delivers a continuously refreshed view of demand pricing and competitive dynamics powered by interviews with real operators suppliers distributors and channel partners across the value chain thousands of consistent channel conversations every month deliver clean comparable signals helping investors spot inflection points weeks before they show up in earnings or consensus estimates the best part these proprietary channel checks integrate directly into alpha senses research platform trusted by 75 of the world's top hedge funds with access to over 500 million premium sources from company filings and brokerage research to news trade journals and more than 240 000 expert call transcripts that context turns raw signal into conviction the first to see wins the rest follow check it out for yourself at alpha dash sense.com slash how I invest.

4:30Ryan Eisenman:I kind of think about this as mental compute. So you could only handle so much abstraction and so much thought in a single day. And if you're spending that compute on figuring out what's my portfolio, how much compute do you have left over for sourcing new managers, building relationships, fundraising, all those things that LPs need to do?

4:48David Weisburd:Yeah, exactly. I think we don't value our time well. And we get sucked into a lot of distractions that are not what we actually need to be working on. And so it's not a good allocation of someone's time to spend that time taking numbers off of a document and putting it into a spreadsheet. That time should be spent in thinking about what investments do I need to make? How do I actually want to allocate capital? If I want to invest in venture capital or private equity, who are the best managers and how do I get a warm introduction to them so that I can invest in their fund?

5:17Ryan Eisenman:As an LP goes from 10 to 25 to 50 fund investments, what typically breaks down?

5:23David Weisburd:They typically at some point need to hire someone. They might already use an investment advisor. This is why about half our business comes through investment advisors and banks today, where they're doing this work on behalf of their clients. But then those advisors often have high hundreds or thousands or tens of thousands of investments. And then it is just utter chaos. They're getting emails every day, every hour of the day that need to be responded to. and then you have to make sure you don't miss capital calls, that you route all the K-1s to the accountant that's on each account, that you receive distributions correctly, that you could reconcile that the distributions arrived and the capital calls went out.

6:00David Weisburd:And then you're not even thinking about what's in an investment letter or what do I actually need to know about these investments. The tracking becomes a job, and it becomes a job that often is handled by teams once you get into high volume of these investments.

6:13Ryan Eisenman:What's the legacy solution before Arch? What were family offices doing?

6:18David Weisburd:Mostly manual. So you'll see family offices that have a few analysts. They're managing this information on Excel spreadsheets. Maybe they're using a reporting system, but they're updating that reporting system manually or GL. And then we've seen family offices that print the capital call and put it on someone's desk. And then someone goes through the paper on their desk to pay capital calls.

6:40Ryan Eisenman:One of the most underreported things in private markets is that most of institutional capital has allocated. They've picked their 15, 25 core managers. They're continuing to invest with those. Where is the net new capital coming from in terms of from the LPs investing to GPs?

6:57David Weisburd:This is a big issue for managers that are starting to raise now or trying to raise. We were speaking at a conference last week and learned in the presentation that from 2022 peaks to today, especially the venture asset class, the venture asset class raised 15 % of the capital in 2025 that it raised in 2022. So there's just significantly less LP dollars being committed, especially to venture capital, because most of the major institutional investors, especially endowments, are overexposed to venture specifically and to privates. So they're not allocating to new venture managers, even if the manager has returned well.

7:34David Weisburd:Luckily, this is coinciding with a big shift of capital coming from the wealth channel. And so you see family offices that have been investing in privates for a long, long time, but there's more family offices today and family offices seem to be increasing their allocation to privates, but especially RAAs, registered investment advisors, multifamily offices in the bank channel are kind of making up for a lot of that gap because there's significant net new dollars coming from that channel.

7:57Ryan Eisenman:Do you see that in the numbers?

7:59David Weisburd:We see this in the numbers where we'll serve firms. It'll say this wasn't a problem for me three years ago, five years ago, because I had a couple hundred alternative investments and most of my clients weren't investing in this asset class. But now people are asking for these investments and then they now have a thousand or three thousand or five thousand positions that need to be tracked and managed.

8:18Ryan Eisenman:There's no real Morningstar for private funds. Why is it so hard to value private funds?

8:24David Weisburd:Everyone reports differently. Today we collect information from 50 ,000 unique investments and they all use a different format, a different portal, do their accounting slightly differently and all this data is trapped in PDFs. And it's super fragmented. Like the top producer of information produces about 7 % of the information that we receive today. And so we collect from 800 different portals and platforms. There's just a lot of work needed to go first, get all the documents and structure the data, then standardize it and understand the accounting treatment of every fund and every fund admin and then make it useful.

9:00David Weisburd:So it's a lot of work that we've done over the last eight years to get to this point. but there just isn't a consistent standard around how data is distributed. Even something like OPA only touches a percent of the market.

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12:20David Weisburd:Yes and no. And one of the kind of issues with ILPA adoption is ILPA is really only pushed by large institutional LPs. And so funds that are sub-institutional have no incentive to adopt something like an ILPA. And I think you probably will see more APIs become available and more like push for standardization. But this is an industry that moves extremely slowly. So we're kind of in the background working on some efforts around standardization and creating kind of like a standard API that people can push data into and pull data out of. So this can be kind of like the plat of its category. But we're not waiting for that to happen.

12:57David Weisburd:So we're kind of meeting the industry where it is today.

13:01Ryan Eisenman:And you see ground truth data on where LPs are allocating today. Are there new asset classes or new structure where LPs are really deploying capital?

13:11David Weisburd:um we see a lot of just like evolution of what is the hot manager the hot strategy so there's there's shifts it does seem like some of the the conversations that hedge funds are back and people are interested in more hedge fund investing we're seeing a lot of fund-to-funds pop up around kind of like hedge fund exposure and being a fund-to-funds for hedge funds specifically and so there's always kind of like a little bit of a trend and and then there's also the like independent sponsor world where we're seeing a lot of dollars go in in that direction as well.

13:38Ryan Eisenman:I want to actually talk about that. So a lot of LPs privately tell me that they're not as interested in blind pool funds. They're interested in investing in independent sponsors or co-invest. How much do you see that actually in your data? And are LPs really starting to deploy more into deal by deal vehicles?

13:58David Weisburd:And this is more of kind of qualitative from the conversation we're having with clients with LPs, but they are, we're seeing them deploy more in kind of deal by deal structures and independent sponsors. I think it's hard. It kind of goes back to some of the pain points around private markets, where if you invest in a drawdown fund and you don't know over what period your money is going to be called, there's a drag on your returns of needing to do something with that capital. And then in the meantime, if you invest in an independent sponsor, you're typically investing 100 % on day one. And we've seen pretty good results from some of those investments.

14:31David Weisburd:And I think there's an ability to just be really intentional about what you're actually investing in. And I think there's also like a little bit of a different duration on those assets that sometimes makes it more appealing to the LP.

14:42Ryan Eisenman:It comes down to not only economics, but also discretion. Also, you don't have to wait for your capital to be called over two to three years. You get to deploy it. So there's less drag on the investment.

14:53David Weisburd:Exactly.

Read the full transcript

14:54Ryan Eisenman:What excites you most today, Q1, 2026, about private markets?

14:59David Weisburd:I think there's just a huge amount of opportunity. like where we're standing in Q1 in 2026, you're probably going to see some major IPOs later this year. And I think that rush of liquidity back to the market is going to be really exciting for the market because people have been missing liquidity and missing DPI over the last couple of years. And so I feel like you'll see a bit of a renaissance when people feel that there is a return from these investments that they've made and start to see strong return from some of the private asset classes that they've invested in, then you can see a lot more capital be redeployed back into this asset class.

15:33David Weisburd:And we think that there's just a lot of opportunity with private markets becoming a little bit more efficient and a little bit easier to interact with, to be able to get in and out of positions in the right time horizon that can fit the return profiles and time horizons for different allocators, where you might be someone that needs a lower return, but needs a little bit more liquidity and are willing to trade that off for someone that wants to stay invested for a long period of time.

15:57Ryan Eisenman:Just to put some more meat on the bone, historically, the Yale, the David Swenson model required roughly 24 % liquidity. And that's been the historic liquidity on a DPI basis for many decades. In 2024, it was 9%. Then 2025, it was 9 % again. So more than half of DPI versus the traditional model. So models are literally breaking for LPs in terms of their ability to deploy capital, get it back and redeploy into future vintages.

16:28David Weisburd:Which makes it really hard that if you're a venture firm and you're trying to go raise money from some of these LPs, if they haven't seen DPI, then they won't be able to reallocate dollars back to managers. So I think the industry is a little bit lopsided right now. You need liquidity to flow back into the market for it to be able to work effectively.

16:48Ryan Eisenman:some lps are pressuring managers specifically venture managers to get secondary do you see a significant amount of secondary going on portfolios we're definitely seeing a lot of

16:59David Weisburd:secondary managers pop up to meet the needs of i think that lp demand so whether it's an lp led secondary where an lp is trying to sell their positions in certain funds uh and never that spreads are tightening on that side so where certain funds might have been uh sold at a 30 percent discount or 25 percent discount. Now maybe it's like a 20 or 15 percent discount to NAV. So that's one thing. But also like going to early employees and early investors and buying out full stakes. I think there's just so much capital tied up in private markets that I think it's healthy that you have more ability to sell shares when you're three, five, 10 years into an investment.

17:40Ryan Eisenman:One of the things that's always confused me is if I have single stock exposure in a public company, I could go to my Fidelity and borrow at a pretty low rate. But if I have private exposure, I essentially can't borrow anything against my private exposure. What needs to change for that to become a real institutional instrument in the market?

18:03David Weisburd:It's a really interesting one. And we were talking to the Bitwise folks about this a couple of months ago, and they made me aware that if you own Bitcoin, very hard for you if you own Bitcoin, you custody it yourself or you custody with one of the large custodians to get a loan against that Bitcoin. But you can trade that Bitcoin for a Bitcoin ETF, and then the banks will give you a loan against that Bitcoin. And it's actually more efficient and allows you to create liquidity off of those holdings. I think you'll see similar things happen in private markets where it's really hard to lend against something that you can't custody or you can't really understand.

18:39David Weisburd:But several large banks and a lot of different funds are now trying to figure out how do we provide liquidity via a credit type of product to private markets. And so it's something people are looking to solve. Historically, I've seen that the LTVs and the interest rates on loans against private market assets are not competitive with loans against public market assets. So if you have both, you're going to take your loan against your house or your public market assets. But I think that will start to change as you see concrete data around these assets and how they're being priced and more robust markets around these assets as well.

19:14Ryan Eisenman:It seems to me that somewhere between zero and 100, some basket of private assets should be able to be bundled together to loan against. But for some reason, institutional investors and or even family office have not figured out how to monetize that. Yeah.

19:30David Weisburd:And there's definitely some funds are creating credit like products where they collateralize large swaths of like a founder's equity and then give them credit or a credit product today, which is like pretty tax efficient. So they don't have to have a liquidity event or a tax event in order to create a little bit of liquidity on their stake. And so we've seen a couple of funds that have created really strong businesses around it, but not yet something that's like fully adopted across the full market.

19:57Ryan Eisenman:I want to double click specifically on the AI. How are you using AI to streamline this process?

20:02David Weisburd:So we're big customers today of a few foundational models. There's a few things that are key here. One is taking more qualitative data. So stuff like financial statements and investor letter, places where there's like interesting insights to glean out of these documents and summarizing it in a client-friendly, consumer-friendly way. So giving you a like, here's the five things you need to know about the latest performance of this venture fund or this real estate manager you're in. Then they're structuring real quantitative data. So pulling out the latest value and unfunded commitment and cash flows out of cash flow statements because then you have structured data that you can use for reporting or to understand what your current balance sheet looks like.

20:47Ryan Eisenman:Having this treasure chest of data at your disposal, what surprised you the most?

20:52David Weisburd:When we started the company in 2018, or we probably thought that like there would be far less nuance than there actually is in this industry. It just seemed like it was simple. It's like, okay, great. We go collect all the K-1s, we organize them. And then an accountant can do someone's taxes without bugging the individual or their wealth manager. We just get all the statements, we digitize them, and then you'll know exactly what your investments are worth and how they're doing. But I think just understanding all the different nuance of like, okay, some fund admins will tell you that documents are available, but they're actually not available because the system is so overwhelmed with sending the documents that you actually can't receive the documents from that system, but they just don't expect anyone to log in as fast as we're logging in to go get those documents.

21:32David Weisburd:So there's a lot of those nuances that we've learned over the last eight years, looking like fund admin by fund admin, custodian by custodian, fund by fund, to understand the underlying structure of the data that we're being sent. There also is this little known thing where most of the data feeds in the market don't match the documents. So documents are really a source of truth and data feeds are oftentimes wrong. We found this with some of the biggest banks in the country, and we found this with the largest custodians and also data feeds for public markets as well, that the information just doesn't reconcile, which is crazy when you think about the amount of money that's being described through documents and through data feeds, that the information is not correct.

22:11David Weisburd:So we're often recreating data feeds when an investment is being custodied via custodian, but the information that's flowing through to the reporting system is not correct. So we're creating like a higher fidelity level of data. And I would have just expected that if a bank or custodian send you data, that it should be correct.

22:30Ryan Eisenman:If you go back eight years ago, when you were just starting Arch, what is one piece of advice you'd give a younger version of yourself that would have either helped you accelerate your career or helped you avoid custom mistakes?

22:41David Weisburd:We probably could have moved a little bit faster and hired a little bit faster at the beginning. We were three co-founders, myself and two MIT engineers, Jason and Joel, who studied computer science and math at MIT. And then three years later, we'd grown to a mighty team of five and passed our first billion in assets on the platform. And we were just really methodical in building out the first versions and really understanding our customers and working side by side with our customers to figure out what does the experience need to be. But we probably could have believed in ourselves a little bit more in the early days and invested a little bit more quickly.

23:12David Weisburd:But we were very conservative on the first 500k that we raised as a company.

23:18Ryan Eisenman:What were some of the mistakes you made personnel-wise as you were building your organization?

23:24David Weisburd:I think we were lucky that we haven't really made that many big mistakes from a personnel perspective. We've been very intentional in a lot of the hiring that we've done. Like the fourth person we hired now runs all of operations at Arch and is this amazing force of nature. And she has kind of been an amazing thought partner for the business and kind of pushed us in a lot of ways. And we've been able to find people along the way that have been really strong culture carriers that have pushed the thinking within sales or product or engineering.

23:54Ryan Eisenman:I had dinner with a chairman of one of the largest banks and he said his hire rate on truly great hires was 50 % of his career. He had been hiring for decades. What's your key to success. How did you get the personnel decisions? So correct.

24:06David Weisburd:We have a lot of different lenses in the hiring process. So I'm looking for a certain thing. My co-founder Jason is looking for a certain thing. Our operations team is looking for something different. So for key roles, we're able to kind of all look at the candidate via different lenses and make sure that they pass our various tests. We want people to come in and really want to work hard and hustle, understand that we are a builder culture, but also a kind culture. So we generally, across the entire company. Everyone's kind if we don't have folks that don't fit that cultural norm and folks that like really care about customers and are long-term oriented.

24:38David Weisburd:And we kind of have this like 1 % better everyday mentality across the company.

24:43Ryan Eisenman:Ryan, this has been absolute masterclass. Thanks so much for jumping on the podcast. Looking forward to having this conversation live.

24:49David Weisburd:Likewise. Thanks, David. Great chatting with you.

24:52Ryan Eisenman:That's it for today's episode of How to Invest. If this conversation gave you new insights or ideas, do me a quick favor. Share with one person in your network would find it valuable or leave a short review wherever you listen. This helps more investors discover the show and keeps us bringing you these conversations week after week. Thank you for your continued support.

From the publisher

Why are private markets still managed in spreadsheets when hundreds of billions of dollars are at stake?

In this episode, I sit down with Ryan Eisenman, Co-Founder and CEO of Arch, a platform supporting more than 550 clients and over $405 billion in alternative assets. Arch is building an operating system for private markets that helps investors manage the operational complexity of alternatives across private equity, venture, hedge funds, credit, and more, bringing modern infrastructure to a part of the financial system that has historically relied on manual processes and fragmented data.

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