Author: Altvia Growth

The IR AI Balancing Act, Part Two: LPs Are Asking the Questions Now

Posted on July 26, 2026 by - AI & Automation, AI Adoption & Enablement, AI in Private Equity, Data Readiness for AI, Fundraising Efficiency, Uncategorized

A perspective from Annie Eissler, CMO, Altvia

Last month I wrote about what I heard at PEI’s IR Network meeting: I saw a room full of IR professionals working out, in real time, how to use AI without letting it do the thinking for them. A few weeks later I was back in the room, this time at another PEI IR Network meeting. The same core questions were on the agenda, but this time was different.

Last month’s conversation was mostly internal: how do we use AI? How do we not get it wrong? What will our LPs think if they find out? Last week, the conversation had shifted. LPs aren’t just forming opinions about AI use anymore. They’re asking directly how GPs are using it, and that means GPs have to think differently about their AI strategy.

Here’s what stood out.

Personalized LP communications are the clearest AI use case, and also the trickiest one

The most concrete idea I heard came from a conversation about turning deal memos into short, personalized notes for LPs, rather than generic updates. It’s a good use case: the raw material already exists, and AI is well-suited to reshaping it into something that reads like it was written for one person rather than a distribution list.

But the group was candid about where the line sits. There’s a real distinction between the low-hanging fruit (a quick capsule summary) and what would actually be meaningfully impactful. This almost always requires pulling data from a lot of different sources and takes real work to get right: IC summaries, LP meeting notes, and reporting all live behind different systems, often in different formats. Nobody in the room felt like they’d fully solved this. As one person put it, the real bottleneck is data quality: garbage in, garbage out. The hard part isn’t the AI, it’s getting information into a usable format in the first place. It’s a theme that came up again and again last week: technology is rarely the constraint. The underlying data infrastructure is.

Confidentiality is a harder line than it was six months ago

This came up more specifically at last week’s meeting. Sub docs and other sensitive materials can’t just get pushed into a general-purpose LLM. That’s not a compliance nicety; it’s a real operating constraint that shapes which tools a firm can actually use and how. It’s consistent with what Deloitte found in its 2025 GenAI in M&A Survey of 1,000 corporate and PE dealmakers: data security was the single most-cited barrier to GenAI adoption, ahead of every other concern. For private capital firms, where sub docs, LPA terms, and side letters are about as sensitive as documents get, that distinction isn’t theoretical.

At the same time, LPs want more from their GPs, not less. More data and more transparency. So GPs are stuck trying to do both at once: securely share more, but never make it feel like a bot did it. One comment from the room stuck with me: “Nobody wants their IR comms to read like ‘a bot.'” That’s the same reputational risk I wrote about in my last post, except now LPs are actually asking the question, not just wondering about it.

LPs are starting to ask GPs directly how AI is used in the firm

It’s no longer hypothetical that an LP might wonder about a GP’s AI adoption. LPs are now asking. The data backs this up: Private Equity International’s LP Perspectives 2026 Study found that nearly half of LPs surveyed are closely monitoring how their GPs adopt AI in investment and operational processes, and almost as many report mixed feelings about it, largely driven by risk concerns. The ILPA DDQ framework, which the majority of institutional LPs now use as a baseline for manager evaluation, continues to expand with each cycle, and it would be reasonable to expect AI governance to become a standard section, rather than an ad hoc follow-up question.

If your firm doesn’t yet have a clean, honest answer to “How do you use AI, and what guardrails are in place?” it’s time to build one. Not because someone will send it back with a red pen if you get it wrong, but because you should probably be able to answer that question clearly, regardless of who’s asking.

The fee conversation nobody wants to have, but needs to

If firms are getting more efficient because of AI, will LPs start asking why fees haven’t come down? It was framed as hypothetical, but it’s not disconnected from what’s actually happening in the market. Bain’s 2026 GP Outlook already points to real downward pressure on headline management fees, particularly at scale. A recent bfinance poll found that a large share of LPs report fee reductions for like-for-like private market strategies, with softer fundraising and disappointing distributions shifting real pricing power toward investors.

AI efficiency gains and fee pressure are two separate trends right now. But it’s not hard to see an LP putting them next to each other, and GPs should probably have a point of view before that question shows up in a meeting. The best response is to show where the efficiency actually goes: faster answers, better reporting, more time for the relationship itself. That’s a different story than “we cut costs and kept the fee the same.”

MCP servers came up, unprompted

Someone in the room made an offhand comment: if you already know what an MCP server is, you’re ahead of the curve. It’s a small signal, but it’s consistent with where the infrastructure conversation is heading. Most firms are still thinking about AI at the level of individual tools and prompts. Fewer are thinking about the underlying protocols that let those tools connect to a firm’s systems and data securely. That gap between “using an AI tool” and “having AI infrastructure” is expected to keep widening.

Where this leaves us

The first meeting focused on where and how IR teams should utilize AI. The second made it clear the conversation has moved past that. LPs are asking direct questions, fee dynamics are shifting underneath the AI conversation whether anyone planned for that or not, and the confidentiality line between what can and can’t touch a general-purpose LLM is getting firmer, not softer.

The through-line from both meetings hasn’t changed, though: the firms that feel most at ease are the ones with real infrastructure and clear answers, not the ones with the most impressive prompt. If anything, last week’s session raised the stakes on that point. An LP asking how you use AI in a DDQ isn’t looking for enthusiasm. They’re looking for governance.

6 Reasons Proactive LP Communications Matter More Than Ever

Posted on July 20, 2026 by - AI & Automation

The private markets fundraising environment has changed, and so has the LP playbook. Capital is more selective, due diligence cycles are longer, and LPs have more managers competing for their allocations than at any point in recent memory. In that environment, how a GP communicates has become just as important as what they’re communicating.

Here’s why proactive LP comms have shifted from a nice-to-have to a competitive necessity, backed by the latest market research.

1. LPs are benchmarking you against public markets, and asking for better tech to match

LPs live in a world of real-time dashboards, instant trade confirmations, and always-on reporting across their public market holdings. That expectation doesn’t stay contained to public equities. When SS&C Intralinks asked LPs what would most improve their relationships with GPs in its 2026 LP Survey, access to better-quality digital communication interfaces was the top answer, cited by 25% of respondents, with enhanced reporting analytics close behind at 23% (SS&C Intralinks). LPs aren’t asking GPs to communicate more, they’re asking them to communicate through better systems, built-in rather than bolted-on.

2. You’re always raising, even when you’re not actively in market

The strongest fundraises aren’t won during the fundraise. They’re won in the months before it, through the day-to-day service and communication an LP experiences between checks. That matters more than ever because LPs have become measurably more selective about who they commit to. The Q4 2025 PitchBook-NVCA Venture Monitor found that just 537 funds closed in 2025, compared with a 10-year average of 1,016, making it one of the slowest fundraising years in a decade. Among the firms that did manage to close a fund, the median step-up in fund size was only 24.6%, the second-lowest figure of the past decade (PitchBook-NVCA Venture Monitor, Q4 2025). Fewer funds closing, and closing at smaller step-ups, means LPs are taking longer to decide and reserving their capital for managers who’ve proven they can be trusted between raises, not just during them.

3. Transparency is what trust is built on

LPs don’t expect every update to be good news. What they do expect is to hear the full picture, including the harder parts, directly from the GP. Valuation is a clear example: in the SS&C Intralinks 2026 LP Survey, 39% of LPs said clear explanation of valuation methods and assumptions was key to building transparency and trust, and another 18% specifically wanted data-backed valuations (SS&C Intralinks). Proactive, plain-language communication around the numbers, especially the tougher ones, is consistently what LPs point to when describing a GP relationship they trust.

4. The investor base has gotten more complex, and more crowded

The traditional LP base of pensions, endowments, and sovereign wealth funds is now sharing the table with a fast-growing wealth channel. KKR’s 2025 RIA Private Markets Survey found that the share of RIAs planning to increase their private equity allocations jumped from 45% in 2024 to 74% in 2025, with similar jumps in private credit (15% to 53%) and private real estate (8% to 42%) (KKR). Layered onto that, SS&C Intralinks found nearly three-quarters of institutional LPs plan to increase the number of GP relationships they hold over the next 12 months, up from the prior year’s survey (SS&C Intralinks). More investor types, each with different reporting expectations, spread across more manager relationships. A reactive, one-size-fits-all approach to LP comms doesn’t scale across that kind of complexity.

5. Multi-strategy platforms mean brand and communication now compete with track record

As more GPs expand from a single strategy into multi-strategy platforms, differentiation is shifting away from what a firm invests in and toward how clearly it explains its own value. Edelman Smithfield’s upcoming 2026 Global LP Survey of 400 institutional investors found that communications, brand visibility, and leadership reputation are now weighed by allocators on par with, or ahead of, returns, with LPs ranking leadership visibility and brand identity as being on par with track record when evaluating GPs (Edelman Smithfield). In a market where more GPs look alike on paper, proactive communication is becoming one of the clearest ways to stand out.

6. AI is entering the IR conversation, and LPs are watching closely

AI adoption in investment and operational processes is now something LPs are actively tracking, not just something GPs are experimenting with quietly. Private Equity International’s LP Perspectives 2026 Study, which surveyed 103 institutional investors, found that 47% of LPs are very or somewhat closely monitoring how their GPs adopt AI, while sentiment remains split: about a third view it positively, and 46% report mixed feelings driven by risk concerns (PEI LP Perspectives 2026, via Ontra). That split is why documentation and traceability matter. GPs that can show how AI is being used in their IR workflow, and what results it’s producing, are in a much stronger position with a watchful LP base than those who stay quiet about it.

The bottom line

None of this means LPs expect perfection. What the research (and our conversations with client and IR leaders at industry events) shows is that they expect to not be surprised, and to feel like their GP is ahead of the conversation rather than behind it. With more capital sources, more manager relationships to track, and more scrutiny on how GPs use technology, proactive communication isn’t just good IR practice. It’s becoming one of the clearest, most measurable signals LPs have for who deserves their trust, and their capital, next.

Sources

The IR AI Balancing Act: Still a Work In Progress

Posted on June 23, 2026 by - Uncategorized

A perspective from Annie Eissler, CMO, Altvia

I recently moderated a panel at PEI’s IR Network meeting in Chicago and spent the rest of the afternoon in roundtables and side conversations with IR professionals across the industry. While the official topic of my panel was AI and technology in IR workflows, AI ended up being the dominant theme in every panel and conversation throughout the day. 

What struck me most were the incredibly thoughtful conversations, insights, and concerns that were discussed throughout the day. The real conversation wasn’t whether AI matters, it was how teams are actually using it without letting the tool do the thinking for them.

Here are a few of my key takeaways from the day:

No definitive playbook yet, but significant experimentation 

What came across loud and clear was that teams are experimenting, comparing notes, running pilots, and making judgment calls in real time. But the pace of change in AI right now is often outrunning internal approval cycles, compliance reviews, and honestly, most people’s capacity to keep up.

Several attendees who felt optimistic and comfortable about their team’s AI usage had one thing in common: clear guidelines and guardrails in place. Some examples included:

  • Building tools that can be deployed across the firm, as opposed to individual prompting.
  • Specific processes that include where tech is used and where human review/touchpoints are along the way.
  • Establishing a rule: AI used for operational leverage, but all communications need human eyes. 

LP attitudes on AI are mixed and that should shape how you use it

One of the more clarifying moments of the day came when LP attitudes on AI came up directly. The feedback was genuinely split. Some LPs say they don’t mind knowing AI is being used in the communications they receive, while others said they identify it in the first few words and move on. 

But here’s what was consistent across the IR side of the room: nobody wants their LP thinking “AI wrote this.” Not because AI can’t produce good output, but because the moment an LP feels like they’re on the receiving end of a template, the relationship takes a hit. 

However, I urge teams not to fall into the trap of trying to hide that AI was used, and to remember that the goal is to make sure what you’re sending is relevant, truthful, and specific enough to signal that you actually know who you’re talking to. Attendees all agreed that communications should be brief enough to respect LP’s time, and human enough to warrant a response.

The human element is non-negotiable

What came through clearly on the IR side is that no matter where LPs land on AI-generated outreach, IR professionals don’t want to be in a position where an LP feels like the relationship is being managed by a bot. The reputational risk is real, and it’s shaping how carefully teams are thinking about what AI touches and what it doesn’t.

AI can handle the prep, the research, the first draft, the operational lift. It cannot build a relationship, and it can’t do business. 

There was a story that surfaced in the room about an IR associate who used AI to fix a problem in some analysis. When asked how it was fixed, the answer was “I don’t know, Claude did it.” That’s a risky sentence, and reiterated the need for firm-wide guidelines about where human judgment stays in the process.

Compliance is top of mind

SEC regulations and compliance considerations are sitting in the back of everyone’s mind when it comes to AI in LP communications. Nobody had clean answers. But the awareness is there, and it’s shaping how cautious teams are about what they automate and what they don’t. That guardrail question isn’t resolved yet for most firms, but continues to be a top priority.

Build a tool, not just a habit

One perspective I heard and gave me pause was that there’s a difference between using AI as an assistant and building AI into your infrastructure. Meaning, an assistant answers the specific question posed, but if you build a tool it builds and refines over time. IR professionals should be thinking about how to make their AI capabilities repeatable and institutional, not dependent on an individual’s prompting prowess.

The operational gap is real and unglamorous

This theme came up here, it also came up in our recent webinar with Private Markets Group as well, and it’s boring and unglamorous – data sources, data integrity, and data completeness remains an underlying issue. 

Reporting, deal stages, getting notes from a multi-person LP call into the CRM with the right context attached all came up as workflows people want to solve. Excel is still everywhere for portfolio monitoring, and most teams are on CRMs that weren’t built for private markets. The tools people want exist in pieces. 

A cohesive AI-native solution for an IR team, end to end, doesn’t really exist yet as a product in this market, and teams continue to look for tools that streamline data and operations. 

Relationship building at the center of the conversation

Across every conversation, the through-line cut to the heart of the IR function – how do you build, maintain, and strengthen relationships. Common knowledge is not to show up in front of an LP only when you need them, but to maintain consistent, low-stakes engagement like sharing something relevant or following up after an event. 

Of note: short-form content is resonating well. Firms are finding that consistency and thoughtfulness matter more than production value. 

The focus has shifted to the institutional relationship, not just at the individual contact level. Where AI entered this chat was in a question posed: “How can AI help me operationalize these consistent, but personalised, engagement points?” 

At the end of the day: What does real AI usefulness look like? 

One of the reasons I enjoy attending the PEI networking events is that the size lends itself to real conversations about what’s happening across the board in the IR function. If I had to summarize the day in one sentence, it’s that Investor Relations remains a relationship business. Any successful tool or technology that is implemented will make LP engagement feel more personal, not less, but will alleviate operational busywork on the backend. 

Nobody has the full playbook yet, but the questions the industry is asking are spot on.

At Altvia, those are the questions driving our product direction.

We build LP and deal sourcing engagement software for private capital firms. If you’re thinking through what AI-enabled IR looks like in practice, we’d like to be part of that conversation.

Schedule time to talk to our team.

What Rising LP Sophistication Demands

Posted on June 10, 2026 by - Uncategorized

On May 1, 1975, the SEC abolished fixed commissions in public equity markets. Captive investors, information asymmetry, pricing power, all dynamics that broker-dealers had taken for granted for generations collapsed almost immediately. Discount brokerages proliferated. Retail investors entered at scale. Many firms adapted and rebuilt their operating models around what the new investor base actually needed, others that didn’t were absorbed.

That transformation took three decades and the same structural forces are moving through alternative investments today, but they are moving faster.

What LP sophistication actually looks like now

The LP who accepts a static PDF summarizing their private holdings ninety days after a quarter closes is the same LP receiving real-time marks, granular exposure data, and daily attribution across their public portfolio. They have noticed the gap. More importantly, they are acting on it.

Operational quality has become a formal gating criterion, not a secondary consideration. Research from CSC Global found that 85% of LPs have rejected an investment opportunity over operational concerns alone, and 68% now rank operational clarity above historical returns when evaluating a GP. For a growing number of institutional LPs, the quarterly reporting cycle is a disqualifying signal.

Dedicated private markets teams with data infrastructure, proprietary evaluation frameworks, and multi-fund coverage models are now standard among large endowments, sovereign wealth funds, and pension systems. Preqin data shows that the median fundraising cycle stretched to 19 months in 2024, nearly five months longer than a decade prior. 

LPs are benchmarking responsiveness, data availability, and communication discipline as proxies for operational maturity. With public market benchmarks as their reference point, institutional LPs are now evaluating GPs on criteria that would have once been considered secondary:

  • A slow response to a data request
  • An inconsistent reporting format across funds
  • A re-up conversation that only starts when the GP needs capital

The pull model is structurally broken

The traditional GP communication model runs on pull. LPs request information, GPs respond at scheduled intervals. The LP carries the burden of staying informed, knowing when to ask, and interpreting whatever arrives. That model has been the industry standard for decades, and it persists today mostly because replacing it requires operational investment that many GPs have not made.

GPs who invert the model by pushing timely, targeted intelligence to LPs continuously rather than waiting for the quarterly window create a compounding relationship advantage:

  • A portfolio company experiencing material developments warrants communication before the next scheduled update.
  • An LP nearing their allocation limit in a sector needs context before they make a decision that removes them from a future raise.
  • A re-up conversation that starts six months before a fund close, grounded in documented relationship history and engagement data, is categorically different from one that starts at the deadline.

In a recent Altvia-hosted webinar, Matt Curtolo, LP & GP Advisor, MC Advisory, who managed hundred of GP relationships, put it plainly:

“After every LP conversation, the discipline that separates durable IR operations from reactive ones is recording what the LP needs to see and when they want to hear from you again, and then actually doing it.”

That is not a technology observation. It is a relationship management discipline observation. But at any meaningful scale, that discipline requires infrastructure to execute.

The operational infrastructure requirement

The cultural shift from reactive reporting to proactive intelligence delivery is real, but culture alone does not produce personalized LP communications at scale or surface relationship risk signals before they become visible problems.

That requires a data foundation where every LP interaction, commitment event, document exchange, and engagement signal is captured as structured information, and where that information informs what happens next.

Most GPs are still assembling reporting packages by hand and building re-up lists in spreadsheets. The firms pulling ahead are doing something structurally different: treating LP behavioral data as a strategic asset: tracking who is engaging, with what, at what depth, and when.

The compounding consequence of not moving

The wealth channel is entering the alternative market space at scale. High-net-worth and ultra-high-net-worth individuals in the US alone collectively hold an estimated $8 trillion in global wealth, with alternatives representing a fraction of most portfolios. GPs who build the operational infrastructure to serve a high-volume, intermediary-mediated investor base will access a transformative capital source. Those who cannot execute the proactive intelligence model at scale may find that channel effectively inaccessible regardless of investment performance.

The LP sophistication shift is not a temporary condition to be managed until market dynamics ease. It is a structural reset of the baseline expectations that govern institutional capital commitment decisions. The equity market transformation took decades because technology cycles were slow and capital markets were regionally fragmented. Neither condition holds today.

The playbook from that transformation is available. Firms that adapted early thrived. Firms that waited were marginalized or absorbed. The pattern is not obscure. The question is whether you use it.

Download the Altvia whitepaper, Massive Alternative Market Shift: Déjà Vu?, for the full analysis of where the alternatives industry is heading and what it demands operationally.

The Infrastructure Advantage: How Private Capital Firms are Building for the Next Decade of LP Growth

Posted on June 4, 2026 by - Uncategorized

For most of private equity’s history, the operational model was built around a concentrated investor base. Deep relationships. Manual processes that worked because the volume was manageable and the relationships were few enough to hold in your head.

That model served the industry well, but it’s running out of runway.

The investor base entering alternatives right now is categorically different in size, composition, and expectation. The proportion of RIAs planning to increase their allocations to private equity moved from 45% in 2024 to 74% in 2025, according to KKR’s 2025 RIA Survey. Family offices, high-net-worth individuals, and wealth platforms are committing capital across fund strategies, co-investments, and secondaries simultaneously. The firms that build the operational infrastructure to serve this investor base at scale are positioned to grow in ways that were structurally unavailable five years ago.

The question is not whether to build for it, but rather how to start and move quickly.

What scaling to thousands of LPs actually changes

Going from hundreds of institutional LPs to thousands wealth-channel investors is not a linear increase in workload. It is a different category of operational challenge entirely.

With hundreds of LPs, a skilled IR team can manage relationships through memory, judgment, and high-touch communication. Reporting can be assembled manually. Co-invest preferences can be tracked in a spreadsheet. Re-up conversations can be initiated based on what a partner remembers from the last meeting.

At thousands of LPs across fund commitments, co-investments, secondaries, and continuation vehicles, none of that holds. Consider what changes:

  • A single LP may now have three or four distinct relationships with your firm across different vehicles, each with its own reporting requirements, fee economics, and communication cadence.
  • Co-invest pipelines require real-time preference tracking across a much larger population. The LP who passed on deal X but has expressed interest in sector Y needs to be identified and contacted before the window closes.
  • Wealth-channel investors expect reporting formats compatible with their portfolio management platforms, not quarterly PDFs assembled by hand.
  • Re-up conversations cannot start at the deadline when you have thousands of relationships to manage. They have to start six months out, which means you need to know where each relationship stands before anyone picks up the phone.

Over 84% of wealth managers surveyed by BNY Pershing expected their alternatives allocations to increase, according to a February 2025 survey. That capital is moving toward GPs who can receive it operationally, not just those who have the best investment track record.

The firms moving fast are doing three things now

The good news is that the infrastructure gap between where most mid-market GPs operate today and where they need to be is closable. The firms that are moving quickly share a common approach.

  • They are treating LP data as a strategic asset, not a record-keeping function. Every interaction, commitment, co-invest conversation, and communication preference gets captured in a structured system. Not because it is tidy, but because that data is what makes proactive engagement possible at scale. Knowing that an LP opened your Q3 report three times but has not responded to your last two emails is an early signal. Knowing that a family office has taken co-invest on two deals but passed on a third tells you something about their appetite. That intelligence exists in every firm. Most firms cannot access it systematically.
  • They are segmenting LP workflows before they need to. Institutional LPs, family offices, and wealth-platform investors do not have the same reporting expectations, communication cadences, or service models. Firms that build segmented workflows before volume forces the issue, scale without the friction of retrofitting. Firms that wait are rebuilding infrastructure mid-fundraise, which is the worst possible time.
  • They are thinking about re-up earlier than feels necessary. The re-up conversation that begins six months before a close looks nothing like the one that starts at the deadline. The difference is not relationship quality or intent, it’s whether you have a system that tells you where each LP stands before anyone picks up the phone. At 500 LPs, that kind of advance visibility does not happen through institutional memory. It requires infrastructure in place before you need it.

Where the public equity parallel is instructive

The equity market transformation of the 1970s and 1980s offers one honest lesson for alternatives GPs: the firms that built for the new investor base before the volume arrived ended up with compounding advantages. The firms that waited until volume forced their hand rebuilt while their competitors were already operating from a position of accumulated institutional intelligence.

The alternatives industry is in an earlier stage of the same transition. In the United States, evergreen vehicles and semi-liquid fund structures grew to $348 billion in AUM and attracted $64 billion in inflows in 2024. (McKinsey, Asset Management 2025: The Great Convergence) That is not the ceiling. It is the starting point.

The operational infrastructure that allows a firm to serve 1000+ LPs across multiple vehicles with the same relationship quality it delivers to 400 does not get built overnight. But it does get built incrementally, and every fund cycle that a firm invests in it compounds the advantage. The LP relationship data captured in Fund III informs the re-up strategy for Fund IV. The co-invest preferences tracked across wealth-channel investors sharpen the pipeline for the next deal. The communication workflows built for one vehicle extend to the next without starting over.

That accumulation effect is the real opportunity. Not just operational efficiency, but institutional intelligence that makes each subsequent raise faster, each LP relationship more durable, and each new team member immediately effective from their first day.

The firms that see that clearly and start building now are not just preparing for a future state. They are creating an advantage that is available right now, with the LPs they are already managing, in the fund cycle they are already running.

Altvia Connects Private Markets Data to the AI Tools Firms Already Use

Posted on May 14, 2026 by - AI in Private Equity, CRM & Data Management, Data Strategy & Analytics, Deal & Pipeline Management, IR Technology, Private Equity Technology, Tech Stack Optimization

FOR IMMEDIATE RELEASE

Altvia Connects Private Markets Data to the AI Tools Firms Already Use

Altvia Integration Platform Adds MCP Support Across Fundraising, Investor Relations, and Deal Sourcing Workflows

DENVER, Colorado, May, 14, 2026–Altvia, the engagement platform for alternative investment firms, today announced MCP support in the Altvia Integration Platform, connecting private markets data to the AI tools GP teams already use.

MCP is the open standard introduced by Anthropic in November 2024 and subsequently adopted by OpenAI, Google DeepMind, and Microsoft. It enables firms to use whichever AI tool their team already trusts and have it work directly against their live Altvia data. Support is now native across Claude, ChatGPT, Microsoft Copilot, Gemini, and other major AI platforms.

“The private markets are rapidly evolving their business models to successfully navigate the alternatives industry transformation,” said Ryan Keough, CEO, Altvia. “Our support for MCP gives teams governed access to their capital raise, investor relations, and deal sourcing data to surface trends, identify opportunities, and make faster, better-informed decisions without leaving their preferred AI tool. This launch is the first of several AI announcements we’ll be making this year as we continue to deepen the intelligence layer Altvia provides for alternative investment firms.”

Designed for Private Markets Workflows

This new addition to the Altvia Integration Platform makes the platform’s core workflows available as standardized MCP capabilities across three domains central to alternative investment operations:

Fund and Portfolio Data: Retrieve fund-level and portfolio-level information in the context of broader AI workflows.

Fundraising and Investor Relations: Query LP contact history, track commitment activity, surface relationship context, and prepare for investor meetings without leaving your  preferred AI tool.

Deal Sourcing: Access pipeline data, deal stage history, and sourcing activity through natural language, enabling faster origination research and deal review.

About Altvia

Altvia is the engagement platform for alternative investment firms. Founded in 2006, Altvia provides General Partner teams with workflow solutions for fundraising, investor relations, deal sourcing, and reporting. Trusted by hundreds of private equity, venture capital, private credit, and real assets firms, Altvia helps teams deepen relationships, move faster, and operate with clarity across the fund lifecycle. Learn more at visit altvia.com.

Media Contact
Annie Eissler
CMO
annie@altvia.com

The Secondary Market Has Come of Age

Posted on May 12, 2026 by - Investor Relations & LP Experience, Private Equity Technology

Private equity has always rewarded patient capital. What it couldn’t always offer was a credible path to liquidity before a fund wound down. That’s changed with GP-led secondaries, continuation vehicles, and structured liquidity solutions which have matured from tactical workarounds into a strategic layer of the alternatives market.

Secondaries make the asset class more functional, more accessible, and more attractive to a broader range of investors. The GPs who understand how to use them will carry a distinct advantage into every fundraise they run.

What Changed, and Why It Matters Now

Secondary market activity has grown into one of the most dynamic segments of private capital, driven by two forces that reinforce each other. 

  1. LP expectations around liquidity have shifted: institutional investors who receive real-time marks and daily attribution across their public portfolios are now making explicit comparisons to the ten-year lockup in a closed-end fund, and directing capital toward GPs who close the gap. 
  2. At the same time, GPs have recognized that offering a credible liquidity path is a fundraising argument in its own right. LPs evaluating a new commitment increasingly factor in anticipated secondary market access alongside track record and investment thesis.

The Two Structures Worth Understanding

Not all secondary market activity looks the same, and the distinctions carry real operational implications.

  • LP-led secondaries are the oldest structure: an existing LP sells their fund interest to a secondary buyer. For GPs, this is largely a passive event, but one that requires operational readiness. Current data rooms, accurate NAV information, and an IR team capable of supporting buyer diligence without disrupting fund operations are table stakes. Firms whose data infrastructure isn’t organized for this kind of scrutiny find out quickly.
  • GP-led secondaries are where most of the structural innovation is happening. These transactions move assets from a fund approaching end-of-life into a new continuation vehicle, giving existing LPs the choice to exit at a fair price or roll their interest forward. Done well, this preserves value and extends the GP’s relationship with high-performing assets. Governance and pricing transparency are non-negotiable here. Conflict of interest concerns are real, and how a GP handles them shapes LP trust well beyond the transaction itself.

The Operational Implication GPs Are Underestimating

Every secondary transaction, regardless of structure, requires a GP to respond to institutional-grade diligence. Buyers want current portfolio data, detailed LP economics, side letter summaries, and clean documentation across the fund’s history. GPs whose records are fragmented across spreadsheets, shared drives, and institutional memory face a painful scramble every time a transaction surfaces.

But the operational burden starts well before a transaction closes. Managing a pipeline of secondary activity introduces its own layer of complexity that most mid-market GPs aren’t systematically tracking: monitoring asset-level exposures and buyer interest across multiple potential transactions simultaneously, managing bid processes with discipline, and maintaining a clear view of how underlying portfolio company exposures shift as secondary transactions progress. Without infrastructure built for this, GPs end up managing high-stakes processes through email threads and disconnected spreadsheets, which creates both operational risk and a credibility problem with sophisticated counterparties who can tell the difference.

This is the operational constraint that catches mid-market GPs off guard. The secondary market’s growth doesn’t just create opportunity, it raises the floor for what organized looks like. LPs who observe a disorganized GP response to a secondary process file that observation away. It shapes how they think about re-up decisions and how they describe the GP to their peers.

The firms building the infrastructure to manage this proactively with centralized LP data, current documentation, clear co-invest records, pipeline tracking with asset-level visibility, and real-time reporting capability are building the operational foundation that makes every LP interaction more credible.

Where This Is Heading

The parallels to public equity market development are instructive here. When block trading and alternative liquidity mechanisms entered institutional equity portfolio management, they didn’t replace the primary market. They made the asset class more functional for institutional capital at scale. Liquidity options reduced the friction of large allocations and opened the door to broader institutional participation.

The same dynamic is playing out in alternatives. Secondary market depth makes the asset class more accessible to a broader set of LPs, including the wealth channel now entering at scale. As vehicle structures and secondary market depth make alternatives more accessible, wealth channel capital is increasingly in play. RIAs, broker-dealers, and wealth platforms serving HNW individuals are actively building allocation infrastructure, per McKinsey’s 2025 asset management research, and liquidity optionality is part of what makes the commitment decision easier. Evergreen structures and interval funds already exploit this. Secondary market liquidity does the same work for closed-end vehicles.

Investment track records will always matter. But the GPs who define the next decade of private capital will be those who build an operational track record to match, one that demonstrates the capacity to serve a broader, more demanding investor base across the full fund lifecycle, including when those investors need a path to liquidity.

This post draws on themes developed in Alvia’s 2026 whitepaper, Massive Alternative Market Shift: Déjà Vu? which examines how the structural transformation of public equity markets previews where alternative investments are heading next. 

What LPs Actually Want From Your Investor Portal (And Why Most Firms Fall Short)

Posted on April 29, 2026 by - Investor Portals, Investor Relations & LP Experience, IR Technology, LP Communication & Engagement, LP Expectations, LP Portals

There is a version of an investor portal that most private equity IR teams are familiar with: a password-protected folder where quarterly PDFs live until an LP asks where they are, then you email them directly. It is functional in the same way a fax machine is functional. It works.

LP expectations have shifted structurally, not cyclically. The bar for what constitutes an acceptable investor experience in private markets has been reset, and the firms that understand this are using their portal as a competitive advantage. The firms that do not are quietly losing ground on re-ups and relationship quality without always knowing why.

Here is what the data shows, what LPs say they want, and where most GP portals fall short.

The gap between what GPs deliver and what LPs expect is widening

A Preqin survey found that 73% of LPs cite inconsistent reporting from managers as a significant challenge when investing in alternative assets. That number alone should give IR teams pause. Nearly three out of four limited partners have a meaningful frustration with how their GPs communicate with them and reporting is the primary channel through which that relationship is maintained. 

For more on the importance of reporting see our recent blog on reporting bottlenecks here.

The frustration is not simply about formatting. Sophisticated institutional LPs and increasingly savvy high-net-worth investors now expect continuous reporting and instant access to information. The quarterly PDF delivered 45 days after quarter-end is no longer the standard. It is the floor and for many LPs, it is already below the floor.

According to CSC’s Limited Partners Guide to Fund Operations, 68% of LPs now prioritize operational transparency over even performance track record. That is a remarkable inversion. LPs are telling the market that how you run the relationship matters as much as what you return.

What LPs actually want in a Portal

When you strip away the survey language and talk to IR teams who interact with LPs daily, three things come up consistently.

1. Self-service access to their own data

LPs do not want to email IR to find out their current NAV or distribution history. Many LPs now expect on-demand access to essential data, not just quarterly reports on unrealized value. A portal that requires a support request to answer a basic balance question is not a portal. It is a bottleneck with a login screen.

The self-service expectation extends beyond documents. LPs want to be able to filter by fund, by year, by entity, and see their capital account in real time (or close to it!). A modern investor portal should provide LPs with direct access to real-time or quarter-end fund and portfolio data, historical performance, capital activity, and supporting documentation, all in one place.

2. Dashboard-style reporting, not static documents

LP expectations now highlight a preference for secure digital portals with 24/7 access to information and dashboard-style reporting rather than static documents. This does not mean GPs need to build a Bloomberg terminal. It means LPs want to see their key metrics (IRR, TVPI, DPI, capital called, distributions) in a format they can actually interact with rather than a table buried in a PDF.

LPs want to understand the underlying drivers of performance, assess risk exposures in real time, and gain a deeper understanding of the operational aspects of portfolio companies. A static quarterly report answers none of those questions. A dynamic portal with drill-down capability does.

3. Proactive communication, not reactive delivery

The worst version of an LP portal is one that only activates when the GP remembers to upload something. That’s a document dump with a login screen. What LPs value is always-on access to current information they can pull themselves, on their own schedule, without having to request it from IR.

That shift — from GP-pushed documents to LP-driven self-service — is exactly what a modern portal makes possible. When live fund data, capital account history, and performance metrics are available on demand through a single login, the LP doesn’t need to wait for a quarterly email or chase down a statement. The information is there when they need it. That frees IR teams from fielding basic data requests and lets them focus on the relationship conversations that actually matter.

The fundraising implications are real

LPs are requesting bespoke reporting to meet regulatory or internal requirements, and GPs’ willingness to accommodate these requests varies depending on the operational burden. The firms with a modern portal infrastructure can accommodate these requests more broadly, while the firms without one will be deciding, one LP request at a time, whether the relationship is worth the manual effort.

This is not just an IR operations issue. Your reporting stack is now part of the due diligence process. Prospective investors are looking at how you communicate. They are assessing your operational sophistication. And they are comparing your platform against others they have used.

LP experience during the fund lifecycle directly affects fundraising outcomes on the next raise. A committed LP who feels well-served, well-informed, and genuinely cared for is more likely a re-up than a committed LP who spent two years chasing documents and never felt like a priority.

Diving deeper into the CSC report, not only do 68% of LPs surveyed stated they are focusing on operational transparency, but many LPs believe technology is a major differentiator when looking at competitor GPs. They expect technology that offers real-time data access, integrated systems, automated reporting, and strong cybersecurity.

Technology is now part of the GP selection criteria. Not as a box-checking exercise, but as a genuine signal of whether a firm will be easy or difficult for investors to back.

What separates a portal that works from one that just exists

What’s the difference between an investor portal that strengthens LP relationships and one that simply checks a compliance box? It comes down to three things: the data, the platform and the experience.

  • The data foundation. A portal is only as good as what goes into it. If fund admin data is not connected directly to the portal or if someone is manually uploading an Excel file every quarter then your portal is a document delivery tool, not an investor experience platform. A portal that pulls live data from fund accounting and administration systems ensures what LPs see is always current, but that’s only the beginning of the platform question.
  • The platform play. A portal disconnected from your CRM, VDR, and IR communication tools doesn’t just create extra work; it creates a fragmented experience for both the firm and its LPs. Your team is maintaining the same data in multiple places, and your LPs are logging into multiple systems. When something needs to be updated, it has to be updated everywhere, manually, by someone. A connected platform eliminates that.

    Read more about the advantages of one platform for private capital firms. 

When the CRM, the portal, the VDR, and IR communications run on a single system, data flows where it needs to go without anyone manually moving it. The LP sees a consistent, current picture of their relationship with your firm. Your IR team sees a complete record of every interaction, document, and communication in one place. That is not a technology preference. That is the operational foundation that makes a genuine LP experience possible at scale.

  • The experience. LPs are sophisticated consumers of technology in every other part of their professional and personal lives. A clunky login experience, confusing navigation, or documents organized in a way that makes no intuitive sense will not be tolerated with the same patience it once was. The bar for design and usability has been set by the platforms LPs use everywhere else.

How to know if it’s working.

The clearest measure of a portal’s effectiveness is what happens to inbound LP communication after it goes live. If IR teams are still fielding the same volume of “can you send me my K-1” emails six months after implementation, the portal is not working. A well-designed portal should materially reduce ad hoc requests by making the answer self-evident.

The bottom line

LP expectations around the investor portal are not aspirational. They are current. The firms that invest in building a genuine digital experience for their limited partners, one that gives them real-time access, self-service capability, and proactive communication, are using that investment as a fundraising differentiator. The firms that treat the portal as a document archive are handing their competitors an advantage every quarter.

The question for IR teams is not whether to upgrade the LP experience. It is how much runway you have left before that decision gets made for you.

Altvia’s IR Operations workflow provides a connected LP portal and CRM built directly into the Altvia platform, giving IR teams a single system to manage documents, data access, and investor communications across the full fund lifecycle. To see how it works, request a demo.

5 Themes That Keep Surfacing in Private Capital Operations (And What to Do About Them)

Posted on March 19, 2026 by - AI & Automation, Fundraising Strategy, Investor Relations & LP Experience

We’re just back from the With Intelligence Women’s Private Equity Summit in Arizona, where more than 1,400 women across private markets spent two days in the kind of frank, practitioner-level conversation that rarely makes it into published reports.

WPES has a way of surfacing what firms are actually grappling with, not just what they’re presenting to LPs. And this year, the operational themes were hard to ignore. The frustrations being voiced in both sessions and hallways track closely with what we hear in conversations with GPs, IR teams, and fund operators across the market. Five of them are worth unpacking.

1. Speed Is the New Competitive Variable in Fundraising

The firms that are closing faster are not necessarily running better strategies. They’re running tighter operations.

Across conversations at WPES and in our broader work with private capital firms, the consistent pressure point is the gap between relationship activity and execution. Meetings happen. Notes get taken. Then the follow-through slows down because moving information from an LP conversation into a structured record, a task, and an investor communication requires manual work at every step.

That friction compounds quickly. In a fundraising environment where LPs are receiving more outreach, evaluating more managers, and consolidating commitments, the speed at which a firm can respond, update, and advance a relationship is a real differentiator.

What firms need is not more effort, it’s automation of the repetitive handoffs: meeting to CRM system, CRM record to follow-up, follow-up to investor communication. The firms building that infrastructure now are shortening their cycles. The ones that haven’t are spending the same time on processes that their competitors are spending on relationships.

2. Most Firms Know What Good LP Communication Looks Like. Fewer Have Built It.

This is the operational challenge that has been acknowledged for years and solved by very few.

GPs know they need to communicate with LPs consistently. They know that transparency and responsiveness are core to re-up decisions. They also know that when multiple people on a team interact with the same LP across different contexts, and none of it is centrally tracked, the quality of that communication degrades fast.

What gets surfaced at events like WPES is not a new problem. It’s the same problem, stated with more urgency. Firms need a complete, accessible view of every LP interaction across the team. They need communication workflows that create structure without creating friction. And they need visibility into where relationships are strong, where they’ve gone quiet, and what needs attention before it becomes a problem.

The firms that have operationalized this are not doing anything heroic. They’re using better systems and more disciplined processes. The gap between them and the firms still managing LP communication in spreadsheets and inboxes is widening.

3. Data Is the Prerequisite. AI Is the Benefit.

AI came up constantly at WPES, and the conversation has matured considerably from where it was a year ago. Nobody is talking about replacing human relationships with automation. The focus is on what AI can do when it’s embedded directly into fundraising and IR workflows: capturing data, surfacing patterns, flagging follow-ups, generating insights from relationship history.

But there was a consistent thread of honesty running through those conversations. AI only works well on good data. Firms that haven’t solved their data capture problem – meeting notes that never make it into a system, interaction history that lives in individual email threads – are not going to get meaningful value from AI tools layered on top of that foundation.

The sequencing matters: data ingestion first, data quality second, AI-powered insights third. Firms that try to skip to the third step are going to be disappointed. Firms that treat data infrastructure as a prerequisite are positioning themselves to extract real value from the AI investments they’re already making.

This is not theoretical. The use cases that are gaining traction right now are narrow and practical: auto-generating account record entries from meeting notes, identifying LPs who are overdue for outreach, combining fund administration data with relationship data to produce more meaningful LP reporting. None of it is complicated. All of it requires clean, connected data to work.

4. AI Adoption Is Still Experimental, and That Window Is Closing

The honest read on AI in private markets right now: most firms are in the experimentation phase. Pilots are running. Use cases are being tested. Measurable impact is still limited.

That is not a criticism. It reflects where the industry genuinely is. But the firms that treat experimentation as a permanent state are going to fall behind the ones that are building toward adoption at scale.

What separates those two paths is change management. Technology does not change behavior on its own. If an AI tool requires a new workflow and nobody is accountable for driving adoption of that workflow, the tool will be used by the three people who were already interested and ignored by everyone else.

The firms making real progress on AI are treating adoption as an operational problem, not a technology problem. They are defining what behavior change looks like, measuring it, and holding teams accountable for it.

5. Raises Are Continuous. Most Operations Aren’t Built That Way.

The session that resonated most at WPES reinforced something that shows up in our own data and client conversations: the strongest fundraising firms are not raising episodically. They are managing LP relationships with the same discipline between closes as they apply during an active raise.

LPs said it plainly. They want proactive engagement, not just inbound responses when a fund is in market. They want to know what is happening in the portfolio, what has changed in the team or strategy, and that their GP is thinking about them specifically, not sending the same update to a distribution list of 200.

The operational implication is significant. Building and maintaining that kind of continuous relationship management requires infrastructure. It requires a system that tracks every interaction, surfaces the right follow-ups, and enables a small IR team to sustain meaningful engagement across a large LP base without losing quality.

That is what purpose-built private capital platforms are designed to do. And it is what general-purpose CRMs adapted for private markets consistently fail to deliver.

The Pattern Across All Five

Look at the five themes above and a single thread runs through all of them: the work is operational. Speeding up the fundraising cycle, maintaining consistent LP communication, building a data foundation that makes AI useful, driving adoption rather than just deployment, sustaining relationship engagement between closes – none of it happens without operational infrastructure behind it.

That shift is creating a new kind of competitive differentiation in private markets. Firms with disciplined IR operations are responding to LPs faster, communicating more consistently, and entering each raise better prepared. The advantage compounds because the infrastructure carries forward across funds.

Altvia is built for exactly this layer of the business. Connecting fundraising workflows, LP communication, analytics, and reporting into a single platform gives IR teams the visibility and workflow structure to operate with that kind of consistency, not just during a raise, but every day leading up to it.

Stop Buying Tools. Start Designing Outcomes.

Posted on March 4, 2026 by - Platform & Implementation Strategy

For years, inside private equity firms, technology decisions have followed the same pattern. We identify a pain point and buy a tool to solve it. We need a CRM to manage fundraising relationships. We need a portal to distribute reporting. We need a VDR for diligence. Then we layer in analytics tools and workflow add-ons to fill the gaps.

Each decision makes sense in isolation, and while each tool solves something real, over time, something subtle happens. We accumulate systems instead of building an operating model.

It doesn’t break all at once. The friction shows up gradually. A reporting request requires three exports and a spreadsheet merge. Diligence lives outside the relationship history. Investor communications are technically “tracked,” but not truly contextualized. As new funds launch and strategies expand, the complexity compounds. Every initiative requires stitching systems together. Every handoff introduces manual work, latency, and risk.

At some point, the realization sets in: this isn’t a software problem. It’s a workflow problem.

What Changes When You Start With Outcomes

The shift happens when you stop asking, “What tool do we need?” and start asking, “What outcome are we trying to drive?”

In fundraising, the goal isn’t CRM adoption. The goal is shorter cycles, predictable pipeline visibility, coordinated execution, and a diligence experience that builds LP confidence. When you map the full workflow — sourcing, qualification, meetings, follow-ups, diligence, close — it becomes obvious how fragmented tools create operational drag. Relationship notes sit in one system. Engagement data lives in another. Diligence materials sit somewhere else. Reporting requires reconciliation. No single place reflects the full LP story.

When you think in workflows, the question changes: does every interaction, document, and data point contribute to one connected system of record? If not, we are building friction into the process.

Investor relations is no different. The objective isn’t to “have a portal.” It’s to deliver consistent, professional, compliant communication at scale. When reporting, documents, engagement tracking, and relationship intelligence are separated, you don’t actually know how LPs are experiencing your firm. You can distribute materials efficiently, but you lack context. A workflow-first approach connects reporting, communications, and relationship history so IR teams can operate with clarity instead of coordination overhead.

Deal sourcing makes the fragmentation even more visible. The objective isn’t better CRM usage. It’s building a durable proprietary pipeline, analyzing channel performance across bankers and proprietary introductions, and institutionalizing relationship capital across the firm. When deal and fundraising data sit in disconnected environments, insight fragments. LP introductions aren’t tied to broader relationship context. Attribution becomes fuzzy and institutional memory weakens.

When workflows are unified, relationship data stops being departmental. It becomes institutional.

The Strategic Implications

This isn’t just operational hygiene. It’s strategic infrastructure.

When firms think in tools, data lives in silos. Each fund feels like a partial reset. Insights degrade over time. AI becomes a layer of automation on top of fragmented inputs.

When firms think in workflows, data compounds. Historical relationships, engagement patterns, and performance metrics build on one another. Intelligence has context. AI becomes meaningful because it operates across connected workflows, not isolated records.

Execution scales more predictably. New team members ramp faster because processes are embedded. Compliance is part of the workflow, not something retrofitted during audits.

And LP experience improves by design. Consistency, responsiveness, and transparency are no longer initiatives. They are structural outcomes. In a market where LPs are evaluating operational maturity alongside performance, that distinction matters.

Why This Matters Now

Private markets are more competitive and more operationally complex than they were even five years ago. Firms are managing multiple funds, parallel strategies, co-invest vehicles, and tighter regulatory expectations. LPs expect transparency and responsiveness. Leadership teams expect real-time visibility and reliable reporting.

A collection of tools can support activity. But only an integrated workflow can support institutional excellence.

When firms continue to think in categories—CRM, portal, VDR—they optimize locally. When they think in workflows—fundraising, IR operations, deal sourcing—they optimize systemically.

That shift changes buying criteria. It changes implementation priorities. It changes how leadership evaluates technology investment. More importantly, it changes how the firm operates.

The firms that will outperform won’t necessarily be the ones with the most software tools. They’ll be the ones that design their operating systems around how private capital actually works—across the full lifecycle of raising, deploying, and managing capital.

Technology doesn’t drive that shift. Mindset does. And once the mindset changes, the right technology decisions become much clearer.