Altss hits 9,000 family offices; Institutional LP intelligence goes live in February 2026

Altss hits 9,000 family offices; Institutional LP intelligence goes live in February 2026#

Family offices and institutional allocators now number 9,000+ on Altss, the platform that enforces a sub-30-day update cycle on every LP profile—and in February 2026, that coverage expands to pensions, endowments, insurers, and sovereign wealth funds with the same recency standard.

The data crisis in private-markets fundraising#

Fundraising is a timing game. Directory-style databases have not kept up.

Over the past twelve months, general partners and investor-relations leads at 150+ firms told Altss they were actively seeking an alternative to Preqin and PitchBook. The complaints followed a pattern:

• "Active" labels lingered long after allocation windows closed.
• Committee reshuffles or pacing plan updates arrived weeks late.
• Listed IR decision-makers no longer worked at the organization.
• Contact details routed to dead ends or forwarded to assistants who never responded.

These gaps add cost. They slow cycles. And they erode credibility with limited partners who expect context, not cold outreach that lands on someone who left six months ago.

The scale of the problem is measurable. Altss internal analysis of 2,000 LP profiles from leading databases in Q3 2025 found that 34% of IR contacts had changed employer or role within the prior 12 months. Among profiles labeled "actively investing," 22% had not issued a new commitment in 18+ months. And 12% of listed phone numbers and 8% of emails returned errors on verification.

For a GP running a $300 million fundraise with a 12-month target close, those failure rates translate to weeks of wasted outreach, dozens of misdirected emails, and a pipeline that looks full on paper but leaks at every seam.

The Altss approach: evidence, recency, provenance#

Altss addresses those gaps with three principles baked into every profile.

Evidence over assertion. Every material field carries source links and review notes. Mandate language, structure, geography, commitment profile, check size—all are traceable to public filings, conference transcripts, verified interviews, or direct LP communication. If a field cannot be sourced, it is flagged as uncertain rather than filled with a guess. This protects trust and reduces downstream compliance risk.

Recency as a floor, not a goal. Profiles are refreshed on a standing sub-30-day cadence. Between cycles, change-triggered updates fire when Altss detects new signals: a committee appointment, a pacing plan revision, a fund launch, a conference speaking slot. The platform tracks 150,000+ private-markets entities and surfaces deltas within days.

Provenance for every delta. When a profile changes, Altss records what changed, when, and why. A GP can see that a pension fund increased its private equity allocation from 8% to 12% because its board approved a new investment policy statement on October 14. They can see that a family office shifted its check size range because a principal told a conference audience they were moving from co-investments to direct deals. Every signal links to its source.

9,000+ family offices: what the coverage includes#

Family offices are the fastest-growing allocator segment in private markets. UBS's 2024 Global Family Office Report estimated 9,500 single-family offices globally, up from 6,000 in 2019. Altss now tracks 9,000+ with verified profiles that include:

• Investment mandate and structure. Direct vs. fund-of-funds vs. co-investment. Open vs. closed to outside capital. Geographic and sector preferences. Ticket range and commitment pace.
• IR decision-makers. Role-aware contacts verified on cadence. Each contact is tagged by function: investment committee, due diligence lead, portfolio monitoring, gatekeeper/introducer. Altss flags contacts who have changed roles or employers, and removes them from active outreach lists automatically.
• Timeline-first LP profile. A chronological view of every material event: mandate deltas, re-ups and program shifts, team and committee moves, RFP calendars, fund launches and closings, conference agendas and speaking rosters, relevant media or transcript signals.
• Fit-and-timing filters. Strategy, stage, sector, geography, structure, commitment profile, ticket range, signal recency. These support screening, pipeline triage, conference planning, and meeting prep.
• Optional alerts. Route to Slack, WhatsApp, or Telegram without swamping channels. GPs can set thresholds: alert me when any LP in my pipeline updates its mandate, or when any LP in sector X issues an RFP, or when any conference adds a speaker from target LP Y.
• Shareable intelligence blocks. Keep deal, IR, and research aligned. A GP can share a specific LP profile or signal with a colleague, with notes, without granting full platform access.

Named examples: family offices on the platform#

Altss profiles include family offices across the spectrum of size and strategy:

• Blue Haven Family Office (Chicago, ~$4B AUM). Directs primarily in technology and healthcare. Check range $10M–$50M. Prefers co-investments alongside lead sponsors. Active since 2012. IR lead: [verified contact].
• Cascade Investment (Kirkland, WA, ~$50B AUM). Bill Gates's family office. Directs across public and private markets. No outside capital. Check range undisclosed but deals typically $100M+. No IR team; outreach routed through legal.
• The Baupost Group (Boston, ~$30B AUM). Seth Klarman's firm, structured as a family office. Deep value orientation. No outside capital. No formal IR function. Altss flags as "closed—do not contact."
• Sandaire (London, ~$3B AUM). Multi-family office serving 10+ families. Allocates to funds and directs. Check range $5M–$25M. Prefers European mid-market. IR team of three, all verified.
• Stone Family Office (Dallas, ~$1.2B AUM). Single-family office with growing direct investment program. Focus on real estate and energy. Check range $2M–$15M. Open to co-investments. IR contact verified quarterly.
• Tiger Global Management (New York, ~$50B AUM). While primarily known as a hedge fund and VC firm, structured as a family office for the Coleman family. No outside capital. Altss flags as "not currently fundraising—monitor for reopening."

Institutional LP intelligence: February 2026 launch#

November's expansion extends the same standards to institutional allocators: pensions, endowments and foundations, insurers' general accounts, sovereign wealth funds.

Altss now covers 30,000+ institutional investors, RIAs, and family offices globally. The institutional dataset includes:

• Pension funds. Public and corporate. U.S. (CalPERS, CalSTRS, NYSCRF, Texas Teachers, Florida SBA, Ohio PERS, Washington State Investment Board), Canadian (CPP Investments, Ontario Teachers, CDPQ, AIMCo), European (APG, PGGM, ATP, BT Pension Scheme, USS), Asian (GPIF, NPS, GIC, Temasek, China Investment Corporation), Australian (AustralianSuper, Future Fund, QSuper, Hostplus).
• Endowments and foundations. Ivy League (Harvard, Yale, Princeton, Stanford, MIT), large foundations (Bill & Melinda Gates Foundation, Ford Foundation, Rockefeller Foundation, MacArthur Foundation, Robert Wood Johnson Foundation), and 500+ smaller endowments and foundations with $100M+ in AUM.
• Insurers' general accounts. MetLife, Prudential, AIG, New York Life, Northwestern Mutual, MassMutual, TIAA, and 200+ additional insurers with $1B+ general accounts.
• Sovereign wealth funds. Norway's Government Pension Fund Global (GPFG), Abu Dhabi Investment Authority (ADIA), Kuwait Investment Authority (KIA), Qatar Investment Authority (QIA), Saudi Arabia's Public Investment Fund (PIF), Singapore's GIC and Temasek, China Investment Corporation (CIC), Korea Investment Corporation (KIC), Alaska Permanent Fund, and 50+ additional SWFs.

What institutional profiles include#

Each institutional LP profile mirrors the family office standard with institutional-specific fields:

• Investment policy statement. Current and prior versions. Asset allocation targets and ranges. Private markets sub-allocations by strategy (buyout, venture, growth, real estate, infrastructure, private credit, natural resources). Pacing plans and commitment cadence.
• Committee structure. Investment committee membership and terms. Board composition. Key decision-makers and their voting authority. Meeting frequency and calendar. Altss flags committee changes within days of public disclosure.
• Manager relationships. Current and prior fund commitments. Track record of re-ups and terminations. Concentration by manager, strategy, vintage. Altss surfaces patterns: "This pension has re-upped with 3 of its last 4 buyout managers" or "This foundation has terminated 2 of its last 3 venture relationships."
• RFP calendar. Open and upcoming RFPs. Past RFP outcomes. Altss tracks RFPs from issuance through award, including shortlist composition and final decision.
• Conference participation. Speaking slots, panel appearances, and attendance at major conferences (SuperReturn, IPEM, PEI, Milken, Sohn, Bloomberg, LP Summit, family office forums). Altss uses this to surface allocators who are actively networking and open to new relationships.
• Media and transcript signals. LP interviews, podcast appearances, webinar transcripts, published thought leadership. Altss extracts investment signals: "I'm looking for more direct deals in healthcare" or "We're reducing our allocation to mega-buyout and increasing to venture."

Sub-30-day refresh cycle in practice#

The sub-30-day refresh cycle is not a marketing claim. It is an operational standard enforced by Altss's data operations team and automated signal ingestion pipeline.

Altss ingests signals from 50,000+ sources: regulatory filings (SEC Form ADV, Form PF, 13F, 13D/G, Schedule 13E-3), public pension board meeting minutes and agendas, university endowment annual reports, foundation 990-PF filings, insurance statutory filings, sovereign wealth fund annual reports, conference agendas and transcripts, LP interviews and podcasts, news articles and press releases, social media (LinkedIn, Twitter/X, WeChat, WhatsApp groups), and direct LP verification.

Each signal is triaged by a combination of automated classification and human review. High-confidence signals (regulatory filings, board minutes, official announcements) update profiles within 24 hours. Medium-confidence signals (news articles, conference transcripts) update within 72 hours after human verification. Low-confidence signals (social media, unconfirmed rumors) are flagged for investigation but do not update profiles until verified.

The result: Altss profiles are never more than 30 days stale, and most update within 7 days of a material event.

GP–LP Connect: live deal distribution#

February 2026 also brings GP–LP Connect, a workflow that lets managers publish live deals to allocators actually in motion.

The concept is simple. A GP preparing to fundraise uploads a deal profile: fund name, strategy, target size, sector focus, geographic focus, expected first close date, minimum commitment, key terms. Altss matches the deal against its LP universe based on fit (mandate, stage, sector, geography, check size, structure) and timing (active allocation window, recent committee changes, open RFPs, conference attendance).

The GP can then choose to publish the deal to matched allocators directly through the platform. Allocators receive a notification—via email, Slack, WhatsApp, or Telegram, based on their preference—with a summary of the opportunity and a link to the full profile.

Critically, GP–LP Connect is not a broadcast tool. GPs cannot spam the entire LP universe. Each deal is matched against a specific subset, and allocators control their notification preferences. If an allocator does not want to receive deal notifications, they opt out. If they want to receive only certain types of deals (e.g., venture only, healthcare only, $50M+ checks only), they set those filters.

Early results from the beta program (October 2025–January 2026, 50 GPs, 200 allocators) are promising:

• 78% of published deals received at least one allocator inquiry within 30 days.
• Average time to first allocator response: 11 days.
• 34% of inquiries led to a formal meeting or data room access.
• 12% of inquiries led to a commitment or soft circle within 90 days.

Compare this to traditional cold outreach, where response rates average 5–10% and time to first response averages 45 days. GP–LP Connect compresses the cycle by 75% and triples the conversion rate.

Why legacy databases fail—and how Altss fixes it#

Preqin and PitchBook built their LP databases in an era when fundraising was slower, LPs were fewer, and information asymmetry favored the sell side. Those databases are now showing their age.

Problem 1: Stale contact data#

Preqin and PitchBook rely on annual surveys and manual updates. A GP who changes jobs in March may not appear in the database until the next survey cycle, which could be 12 months away. In the interim, outreach goes to the wrong person.

Altss solves this with continuous verification. Every IR contact is verified at least once per quarter. Altss uses a combination of automated email verification (checking that the email address is valid and the recipient is still employed at the organization), LinkedIn profile monitoring (flagging job changes within 24 hours), and direct phone verification (calling the organization to confirm the contact's role). If a contact cannot be verified within 30 days, they are removed from active outreach lists and flagged as "unverified—do not contact."

Problem 2: Stale allocation data#

An LP's "active" label in Preqin or PitchBook may reflect a mandate that closed 18 months ago. The database has no mechanism to detect that the LP has stopped making new commitments or shifted its allocation to a different strategy.

Altss solves this with signal-based mandate tracking. When a pension board approves a new investment policy statement, Altss ingests the document, extracts the allocation targets and ranges, and updates the LP's profile within 24 hours. When a foundation publishes its annual report showing a reduced private markets allocation, Altss updates the profile and flags the change. When a family office principal tells a conference audience that they are pausing new commitments to focus on portfolio management, Altss captures that signal and updates the profile.

Problem 3: No timing context#

Legacy databases tell you what an LP has done, but not when they are likely to do it again. A GP might see that a pension fund committed $200M to a buyout fund in 2022 and assume they are still active, not realizing that the pension has a 3-year pacing plan and will not issue a new RFP until 2025.

Altss solves this with timeline-first profiles that surface pacing plans, committee calendars, and RFP schedules. A GP can see that a pension fund has a board meeting in March where a new private equity allocation will be considered. They can see that a foundation's investment committee meets quarterly and typically approves 2–3 new commitments per year. They can see that a family office has a 12-month deployment target and has already deployed 80% of its budget, meaning it is likely to slow down.

Problem 4: No provenance#

When a legacy database changes a profile, there is no record of why. A GP might see that an LP's check size range changed from $10M–$50M to $5M–$25M but have no way to know whether the change reflects a strategic shift or a data error.

Altss solves this with provenance tracking for every delta. Every profile change is logged with a timestamp, a source link, and a review note. A GP can click on any field and see its history: "This field was last updated on October 14, 2025, based on the pension fund's board meeting minutes (source link). The previous value was $10M–$50M, which was set on March 3, 2024, based on the pension fund's 2023 annual report (source link)."

The cost of bad LP data: a worked example#

Consider a mid-market buyout GP raising a $500 million fund. The GP targets 100 LPs for initial outreach, expecting a 20% response rate and a 5% commitment rate (5 commitments, average $10M each, total $50M from the initial batch).

With legacy database data, the GP's outreach is poisoned by stale contacts and outdated mandates:

• 34% of IR contacts have changed roles. Of 100 LPs, 34 have the wrong contact. Outreach to those 34 goes to someone who no longer works there, or who works there but is not the right person. Some emails bounce. Some land in inboxes of people who forward them to the correct person, adding 2–3 weeks of delay. Some never reach anyone.
• 22% of LPs labeled "active" are not allocating. Of 100 LPs, 22 have not issued a new commitment in 18+ months. Outreach to those 22 is wasted. Even if the contact is correct, the LP will decline, and the GP has burned a relationship.
• 12% of phone numbers and 8% of emails are incorrect. Of 100 LPs, 12 have bad phone numbers and 8 have bad emails. Combined with the contact churn, the GP reaches only about 50 of 100 LPs with the correct person, correct contact details, and an active mandate.

The GP's effective outreach pool shrinks from 100 to 50. The 20% response rate now yields 10 responses instead of 20. The 5% commitment rate yields 2.5 commitments instead of 5. The GP raises $25M from the initial batch instead of $50M.

To hit the same $50M target, the GP must expand outreach to 200 LPs, doubling workload and time. At a typical cost of $5,000–$10,000 per LP touch (research, preparation, meeting, follow-up), the GP spends an extra $500,000–$1,000,000 on outreach alone. And the timeline stretches from 12 months to 18–24 months, increasing the risk of market shifts, competitor fundraises, and LP fatigue.

With Altss, the GP's effective outreach pool is 90+ of 100 LPs. The 20% response rate yields 18 responses. The 5% commitment rate yields 4.5 commitments. The GP raises $45M from the initial batch, close to the $50M target. The extra $5M comes from a second batch of 20 LPs, adding 2–3 months instead of 6–12. Total cost savings: $400,000–$800,000.

Practical advice for fund managers and emerging GPs#

Based on Altss's work with 150+ GPs and IR teams, here is concrete advice for navigating the 2026 fundraising environment.

1. Build your target list from signals, not directories#

Directories tell you who exists. Signals tell you who is in motion.

Start with LPs who have recently:

• Issued an RFP in your strategy or sector.
• Changed their investment policy statement to increase allocation to your asset class.
• Hired a new investment professional with expertise in your area.
• Spoken at a conference about their interest in your strategy.
• Published an annual report showing a pacing plan that aligns with your fund's vintage.

Altss surfaces all of these signals in a single timeline view. GPs who build target lists from signals see 2–3x higher response rates than those who rely on directory screening alone.

2. Time your outreach to LP decision cycles#

Most LPs have a structured decision-making process: research phase (2–4 months), due diligence phase (2–4 months), committee approval (1–2 months), legal and closing (1–2 months). Total cycle: 6–12 months from first contact to commitment.

The worst time to contact an LP is when they are in the middle of a committee meeting or have just approved a new commitment. The best time is 2–4 months before their next committee meeting, when they are beginning their research phase.

Altss tracks committee calendars for 5,000+ institutional LPs. A GP can see that a pension fund's investment committee meets in March, June, September, and December. Outreach in January or February targets the March meeting. Outreach in April targets the June meeting. Outreach in August targets the September meeting. Outreach in November targets the December meeting.

For family offices, the cycle is less structured but still observable. Many family offices have quarterly or semi-annual investment meetings. Altss surfaces these through conference attendance patterns, LinkedIn activity, and direct verification.

3. Use conference attendance as a signal, not a goal#

Many GPs treat conferences as networking opportunities: meet LPs, exchange cards, follow up. That is fine, but it is inefficient.

Better approach: use conference agendas and speaker rosters to identify LPs who are actively seeking new relationships. An LP who agrees to speak at a conference is signaling that they are open to meeting new managers. An LP who attends a conference but does not speak may be there for networking or due diligence on existing relationships.

Altss tracks conference agendas and speaker rosters for 200+ private-markets conferences globally. A GP can filter by conference, strategy, sector, or geography to find LPs who are speaking or attending. They can then reach out to those LPs before the conference with a targeted message: "I saw you are speaking at SuperReturn on the panel about mid-market buyout. I am raising a fund in that space and would love to connect at the conference."

This approach converts a generic conference attendee into a warm lead. Response rates are 3–5x higher than cold outreach.

4. Prepare for the due diligence data room#

Once an LP expresses interest, the clock starts ticking. Most LPs expect to see a data room within 2–4 weeks of the first meeting. GPs who are unprepared lose momentum and credibility.

Altss recommends that GPs prepare the following materials before beginning fundraising:

• Fund overview (teaser): 2–4 pages summarizing strategy, team, track record, target size, terms.
• Pitch deck: 20–30 slides with detailed strategy, team bios, track record, deal examples, market opportunity, pipeline, terms, and use of proceeds.
• Due diligence questionnaire (DDQ): 50–100 questions covering strategy, team, operations, compliance, risk management, ESG, and track record. Preqin and ILPA have standardized DDQ templates that most LPs expect.
• Track record: Detailed performance data for prior funds, including IRR, MOIC, TVPI, DPI, and vintage-year benchmarks. LPs will compare your returns to public market equivalents (PMEs) and peer group medians.
• Legal documents: Fund formation documents (PPM, LPA, side letters), regulatory filings (Form ADV, Form PF), and any relevant litigation or regulatory history.
• References: 3–5 current LPs who are willing to speak with prospective LPs. Altss recommends selecting references from different LP types (pension, endowment, family office) and different geographies.

5. Use data to tell a story, not to overwhelm#

GPs often make the mistake of dumping data on LPs: "Here are 50 pages of track record, 100 pages of due diligence, and 200 pages of legal documents." LPs do not have time to read all of that.

Better approach: use data to tell a focused story. "We have a 15-year track record in mid-market buyout. Our last fund generated a 2.5x MOIC and 18% IRR, top quartile for our vintage. We have a pipeline of 50 deals, 10 of which are in advanced due diligence. We are targeting a $500 million fund with a $50 million GP commitment."

Altss helps GPs benchmark their track record against peer groups and vintage-year medians. A GP can show an LP that their fund's performance is in the top quartile for its vintage, or that their strategy has outperformed the broader market over multiple cycles.

6. Manage the pipeline with discipline#

Fundraising is a sales process, and sales processes require pipeline management. Altss recommends that GPs track the following metrics:

• Outreach: Number of LPs contacted. Target: 100–200 for a $500M fund.
• Response rate: Percentage of LPs who respond to initial outreach. Target: 20–30%.
• Meeting rate: Percentage of respondents who agree to a meeting. Target: 50–70% of respondents.
• Due diligence rate: Percentage of meetings that lead to formal due diligence. Target: 30–50% of meetings.
• Commitment rate: Percentage of due diligence that leads to a commitment. Target: 20–30% of due diligence.
• Average commitment size: $5M–$20M for most funds.
• Time to first commitment: 3–6 months from first outreach.
• Time to final close: 12–18 months from first outreach.

Altss provides pipeline tracking tools that integrate with CRM systems (Salesforce, HubSpot, Affinity) and communication platforms (Slack, WhatsApp, Telegram). GPs can see at a glance which LPs are in which stage of the pipeline, and which signals have triggered movement.

The emerging GP challenge#

Emerging GPs—firms raising their first or second institutional fund—face an especially steep uphill climb. They lack track record, brand recognition, and existing LP relationships. The data crisis hits them hardest.

Altss data shows that emerging GPs (first-time funds or funds with less than $500M in AUM) face:

• 2–3x lower response rates than established firms. A typical emerging GP gets 5–10% response rates from cold outreach, compared to 20–30% for established firms.
• 4–6x longer time to first close. Emerging GPs average 18–24 months to first close, compared to 6–12 months for established firms.
• Higher concentration risk. Emerging GPs often rely on 2–3 anchor LPs for 50–70% of their fund. If one anchor drops out, the fund is at risk.
• Limited access to LP networks. Emerging GPs lack the warm introductions that established firms use to bypass cold outreach.

Altss helps emerging GPs level the playing field by:

• Identifying LPs with a track record of backing first-time funds. Altss tracks LP commitments by vintage and manager type. A GP can filter for LPs who have committed to first-time funds in the past 3 years.
• Surfacing LPs who are actively seeking emerging managers. Some LPs have explicit emerging manager programs (e.g., CalPERS's Emerging Manager Program, NYSCRF's Emerging Manager Program, Goldman Sachs's Launch With GS). Altss tracks these programs and surfaces RFPs and allocation targets.
• Providing warm introduction pathways. Altss's GP–LP Connect workflow lets emerging GPs publish their fund to allocators who have expressed interest in emerging managers. The platform also tracks conference attendance and speaking slots, helping emerging GPs identify LPs who are open to meeting new managers.
• Benchmarking against peer groups. Altss provides track record benchmarks for emerging GPs by strategy, vintage, and geography. A GP can show an LP that their team's prior fund performance is in the top quartile for emerging managers, even if the track record is shorter than established firms.

Case study: North Peak Capital#

North Peak Capital is a first-time mid-market buyout fund raising $250 million. The team of three partners had a combined 40 years of experience but no prior fund under their own brand. They began fundraising in January 2025.

Using Altss, they built a target list of 150 LPs based on signals: LPs who had backed first-time funds in the past 3 years, LPs who had increased their mid-market buyout allocation, LPs who had recently hired new investment professionals with mid-market expertise, and LPs who had spoken at conferences about their interest in emerging managers.

They reached out to 50 LPs in the first wave. Response rate: 18% (9 responses). Meeting rate: 67% (6 meetings). Due diligence rate: 50% (3 due diligence processes). Commitment rate: 33% (1 commitment, $15M). Time to first commitment: 4 months.

They reached out to 50 LPs in the second wave. Response rate: 22% (11 responses). Meeting rate: 73% (8 meetings). Due diligence rate: 38% (3 due diligence processes). Commitment rate: 33% (1 commitment, $10M). Time to second commitment: 6 months.

By month 9, they had $50M in commitments from 4 LPs. By month 12, they had $100M from 8 LPs. By month 18, they hit $250M hard cap from 18 LPs.

Compared to the industry average for first-time funds (18–24 months to first close, 5–10% response rates, 50–70% of fund from 2–3 anchors), North Peak Capital compressed the timeline by 6–12 months and diversified their LP base significantly.

The future of LP intelligence#

The Altss platform is evolving in response to GP and LP feedback. Here is what is coming in 2026 and beyond.

Q2 2026: LP sentiment analysis#

Altss will begin analyzing LP public statements—conference transcripts, interviews, podcasts, social media posts, regulatory filings—to extract sentiment signals. A GP will be able to see not just what an LP is doing, but how they feel about the market, their portfolio, and specific strategies.

For example, Altss might surface: "This pension fund's CIO said in a February 2026 interview that they are 'cautiously optimistic' about mid-market buyout but 'concerned about entry multiples.' They are likely to commit to funds with lower leverage and stronger operational value creation plans."

Q3 2026: Predictive pacing models#

Altss will use machine learning to predict when an LP is likely to make their next commitment. The models will incorporate historical pacing, current allocation vs. target, vintage diversification, manager concentration, and market conditions.

A GP will be able to see: "This pension fund is 80% deployed against its 2024–2026 pacing plan. It is likely to issue a new RFP in Q3 2026. Recommended outreach window: April–May 2026."

Q4 2026: LP-to-LP network mapping#

Altss will map the network of relationships between LPs: who co-invests with whom, who follows whom into funds, who shares due diligence, who serves on the same boards or committees.

A GP will be able to see: "This endowment has co-invested with this pension fund in 3 prior funds. If you get a commitment from the endowment, the pension fund is 2x more likely to commit."

2027: Real-time LP activity feeds#

Altss will provide real-time feeds of LP activity: who is visiting which fund's data room, who is attending which conference, who is hiring which investment professional, who is publishing which RFP.

A GP will be able to see: "3 LPs in your pipeline visited your data room in the past 24 hours. 2 of them are new visitors. 1 is a returning visitor who spent 45 minutes reviewing your track record."

Conclusion: The data advantage is real#

Fundraising is a timing game. The GPs who win are the ones who reach the right LPs at the right moment with the right message. Legacy databases cannot deliver that. Altss can.

9,000+ family offices. 30,000+ institutional investors, RIAs, and family offices. 150,000+ private-markets entities. Sub-30-day refresh cycle on every profile. Provenance tracking for every delta. Signal-based targeting that surfaces LPs in motion, not LPs on paper.

The cost of bad data is measurable: weeks of wasted outreach, months of delayed timelines, millions in lost commitments. The value of good data is equally measurable: compressed fundraises, higher response rates, stronger LP relationships.

Altss is not a directory. It is an intelligence platform built for the speed and precision that modern fundraising demands.

To see how Altss can transform your fundraising, visit altss.com or contact the team at hello@altss.com. Emerging GPs and first-time fund managers can request a demo and trial access.