Best Family Office Databases for 2025: A Comparison Guide

Updated: February 2026 · Author: Alex Dovzhenko, Product Marketing & Allocator Intelligence, Altss

TL;DR

Five platforms dominate family office intelligence in 2026. Each solves a different problem. This guide compares Altss, FINTRX, Dakota, Preqin, and PitchBook across coverage depth, data freshness, contact verification, signal intelligence, compliance architecture, and pricing — set against the current LP fundraising environment where capital concentration and allocator selectivity have reached decade highs.

Altss Market Intelligence: The Family Office Landscape in 2026

The family office universe is expanding while the broader fundraising market contracts — a divergence that makes database selection more consequential than at any point in the last decade.

Altss coverage data identifies over 9,000 single family offices globally — a universe that has expanded significantly over the past five years, with projections reaching 10,720 by 2030. Total family wealth stands at $5.5 trillion, projected to reach $9.5 trillion by 2030. Total family office AUM is currently $3.1 trillion, projected to reach $5.4 trillion by 2030.

By region, industry estimates place 3,180 in North America, 2,630 in Europe, 1,630 in Asia-Pacific, 290 in the Middle East, 210 in South America, and 60 in Africa — though Altss OSINT collection consistently surfaces additional entities in each region, particularly in MENA and Southeast Asia where family offices often operate without formal registration. Sixty-eight percent of all family offices were established after 2000.

This growth is occurring against a fundraising backdrop that has fundamentally changed the intelligence requirements for fund managers. Global PE fundraising fell to $480 billion in 2025 — down roughly 13% and marking a third consecutive year of decline. Fundraising across all private asset classes ended at approximately $1.1 trillion, down 24% year-over-year and 40% off the 2021 peak. Distributions as a percentage of NAV have held below 15% for four consecutive years — an industry record. The industry is sitting on a backlog of at least 31,000 unsold companies valued at $3.7 trillion.

Fundraising concentration has reached the highest level in over a decade. Capital is consolidating with top performers and scale funds. First-time and smaller managers face the most challenging environment since 2010, with LPs consolidating relationships and rewarding a narrow pool of proven managers who can demonstrate realized exits and strong DPI. Median fundraising time has stretched to 22 months, up from 14 months in 2018.

In this environment, the database you use determines whether you reach the right allocator at the right time — or spend two years sending emails into saturated inboxes.

What Family Offices Are Actually Allocating To

Altss tracks family office allocation behavior across its global coverage universe. The current picture, synthesized from public filings, LP disclosures, and industry survey data as of February 2026:

Global family office portfolios average 38.4% in public equities and 30.8% in private investments. Within private investments, PE represents 9.8%, real estate 7.4%, control-oriented investments 6.1%, growth equity and venture capital 3.3%, private credit 2.4%, secondaries 1.1%, and infrastructure just 0.7%. Fixed income averages 14.8%, cash 7.8%, and hedge funds 4.7%.

The disconnect between intention and allocation is significant. Sixty-five percent of family offices say they plan to prioritize AI investments. Yet 57% currently have no exposure to growth equity or venture capital, and 79% have no infrastructure allocation. Sixty-four percent cite geopolitics as their top risk. Eighty-six percent lack a clear succession plan for key decision-makers. Eighty percent outsource some aspect of portfolio management. Average annual operating costs are $3 million, rising to $6.6 million for offices managing more than $1 billion.

These behavioral signals — mandate gaps, succession vulnerability, outsourcing patterns, geographic risk posture — are what separate a useful family office database from a static directory. Altss platform data shows that 8% of family office profiles flagged a leadership change in the last four months alone, underscoring how rapidly the allocator landscape shifts and why monthly verification is not optional. The five platforms below handle them differently.

How the Five Platforms Compare

FINTRX

FINTRX is a family office intelligence platform with a U.S. center of gravity, covering approximately 4,400+ family offices and 22,000+ decision-maker contacts. It provides detailed profiles on AUM, investment preferences, and relationship mapping, with strong CRM integrations and AI-assisted search features including natural-language queries and its recently launched AI Elements tool for custom data field generation.

FINTRX's strength is North American private-wealth targeting. Its 75-person research desk maintains contact accuracy through manual verification. Segmentation and filtering are polished, and the platform integrates well with standard CRM workflows.

The trade-off is coverage depth outside North America. European and Asia-Pacific family offices receive less granular treatment, and the platform does not offer real-time event intelligence or attendee tracking. For managers focused on U.S. family offices with established CRM processes, FINTRX is a strong fit. For global fundraising campaigns that require behavioral signals and timing intelligence, the coverage gap becomes material.

Dakota

Dakota is a fundraiser-oriented platform covering family offices alongside pensions, endowments, foundations, and consultants. It positions itself as a practical institutional roll-up with clean CRM integration across Salesforce, HubSpot, and Dynamo, and includes global modules that extend coverage beyond North America.

Dakota's strength is usability for day-to-day fundraising workflow. Contact quality is generally strong, and the platform functions well as an institutional list-building tool with straightforward filtering. For teams that need a single platform covering both family offices and institutional allocators with minimal friction, Dakota provides a workable foundation.

The limitation is intelligence depth. Dakota operates as a directory-first platform — it provides contact data and organizational profiles, but does not emphasize real-time behavioral signals such as mandate shifts, leadership changes, or event attendance. Outreach timing and personalization remain the user's responsibility.

Preqin

Preqin is the institutional analytics backbone across alternative assets — allocations, fund performance, benchmarking, and macro trend data across regions and asset classes. Its investor universe is broad, and its reports inform strategy at the industry level.

For market sizing, strategy decks, and LP trend validation, Preqin provides depth that other platforms do not attempt. Its data on fund commitments, performance quartiles, and allocation trends across asset classes supports portfolio construction and competitive positioning.

The limitation for fundraising execution is twofold. First, profiles can skew historical — contact freshness varies, and the platform's strength is analytical rather than operational. Second, Preqin's visibility means that the family offices most prominent in its dataset are also the most contacted by every other manager using the same platform. This creates inbox saturation risk for outreach campaigns relying primarily on Preqin data.

PitchBook

PitchBook offers comprehensive company, deal, fund, and investor data with strong workflow integrations. Its strength is private-markets context — co-investor mapping, deal history, portfolio company analysis, and financial data across the transaction lifecycle.

For GPs conducting market research, evaluating co-investment opportunities, or building competitive intelligence on deal activity, PitchBook is the industry standard. The depth of its deal and fund analytics is unmatched.

The limitation is family office specialization. PitchBook's family office coverage is often derivative of deal activity rather than built from dedicated family office intelligence collection. Family office-specific signals — leadership changes, mandate shifts, event attendance, allocation behavior — are not the primary focus. For fundraising teams whose target universe is heavily weighted toward family offices, PitchBook provides valuable context but does not function as a real-time family office intelligence engine.

Altss

Altss is a family office and LP intelligence platform built on continuous OSINT (Open Source Intelligence) collection. The platform covers 9,000+ verified family offices globally alongside 150,000+ institutional LP entities including pensions, endowments, foundations, sovereign wealth funds, insurers, consultants, and RIA/OCIO channels.

The architectural difference is how data enters the platform. Altss runs continuous OSINT collection across regulatory filings, press releases, personnel databases, event registrations, and domain activity. When an allocator posts a new filing, changes investment leadership, or registers for a conference, that signal is processed and surfaced — typically within hours. The methodology is documented in the OSINT Intelligence Framework.

Coverage: 9,000+ verified family offices across 40+ jurisdictions, with particular depth in MENA, Latin America, and Southeast Asia — regions where analyst-first models have limited reach. Asia-Pacific accounts for approximately 1,630 single family offices and is the fastest-growing region for family office creation, projected to see a 208% increase in family wealth between 2019 and 2030. Altss OSINT collection surfaces entities in these regions that operate without formal registration and do not appear in survey-based databases.

Contact verification: Three-layer process — continuous public-source monitoring, monthly bounce-testing and validation of every email maintaining deliverability above 99.7%, and a client feedback loop. The mechanics are detailed in the Contact Decay Detection taxonomy entry.

Signal intelligence: Real-time alerts for mandate shifts, leadership changes, new entity formations, and event attendance. Allocator segmentation by region, strategy, check size, LP type, and decision cycle stage. A Relationship Graph that visualizes co-investment histories, board connections, and warm introduction paths. The LP Decision Cycle taxonomy explains the behavioral framework behind the intelligence layer.

Compliance architecture: No data export, no API access, no bulk extraction. Users search, segment, and engage using live data inside the platform. This prevents contact burnout — when the same LP contact information is exported from a database and distributed across hundreds of fund managers, response rates decline for every manager using that contact. Altss's in-platform model preserves deliverability over time. The regulatory context for this design choice is covered in glossary entries on LPAs and subscription agreements.

Pricing: Family Office Dataset: $12,000/year per seat ($10,000 emerging manager). Full LP Coverage (family offices + institutional allocators): $15,500/year per seat ($12,000 emerging manager). Enterprise: custom pricing.

Platform Comparison Summary

Coverage breadth: Altss (9,000+ FOs, 150K+ institutional LPs) > Preqin (broad investor universe) > PitchBook (deal-driven LP coverage) > FINTRX (4,400+ FOs, U.S.-weighted) > Dakota (FOs + institutional allocators).

Family office depth: Altss (OSINT-verified, 40+ jurisdictions) > FINTRX (deep U.S. profiles) > Dakota (FO + institutional) > PitchBook (deal-derived) > Preqin (analytical, less operational).

Contact freshness: Altss (monthly verification, 99.7%+ deliverability) > FINTRX (75-person research desk) > Dakota (verified contacts) > PitchBook (periodic updates) > Preqin (variable freshness).

Signal intelligence: Altss (real-time OSINT, mandate/hire/event alerts) > Dakota (limited signals) > FINTRX (no real-time signals) > PitchBook (deal-level signals) > Preqin (macro trends, not operational signals).

Institutional LP coverage: Altss (150K+ entities, Feb 2026 launch) > Preqin (broad) > Dakota (pensions/endowments/consultants) > PitchBook (deal-derived) > FINTRX (family offices only).

Compliance design: Altss (no export, in-platform only) > all others (export-enabled, with associated burnout risk).

Deal analytics: PitchBook (industry standard) > Preqin (fund performance/benchmarking) > Altss / Dakota / FINTRX (not primary function).

Pricing: Altss ($10K–$15.5K/seat) < FINTRX (contact for pricing) < Dakota (contact for pricing) < PitchBook ($30K+ for 2–3 seats) < Preqin (contact for pricing, typically enterprise).

Which Platform Fits Which Use Case

U.S. family office targeting with CRM workflow: FINTRX provides the deepest North American family office profiles with polished CRM integrations. Pair with a signal engine for timing context.

Institutional list-building across allocator types: Dakota offers the most practical fundraiser-oriented workflow across family offices, pensions, endowments, and consultants.

Market sizing, benchmarking, and trend validation: Preqin is the analytical backbone for strategy decks, allocation trend analysis, and fund performance benchmarking across alternative assets.

Deal analytics, co-investor mapping, and market research: PitchBook is the industry standard for private-markets transaction data, portfolio context, and competitive intelligence.

Global family office intelligence and fundraising execution: Altss provides the deepest global family office coverage (9,000+ verified entities), real-time OSINT signals, continuous contact verification, and compliance-first architecture designed for outreach that produces meetings rather than bounces.

Combined stack for institutional fundraising: Many teams use PitchBook or Preqin for research and market context alongside Altss for LP discovery, contact verification, and signal-timed outreach execution. The First-Time Fund Manager Playbook covers how to build this stack.

Frequently Asked Questions

How many family offices does Altss cover?

Over 9,000 verified family offices globally. Altss OSINT methodology identifies entities that do not appear in survey-based databases, particularly in MENA, Southeast Asia, and Latin America where family offices often operate without formal registration.

What is the difference between Altss and FINTRX?

FINTRX is a family office directory with deep U.S. coverage and a 75-person research desk. Altss is an OSINT-powered intelligence platform with broader global coverage (9,000+ vs 4,400+ family offices), real-time signal detection, monthly contact verification, and institutional LP coverage beyond family offices. FINTRX is strongest for North American targeting. Altss is built for global fundraising execution with timing intelligence. Full comparison: Altss vs FINTRX.

What is the difference between Altss and Dakota?

Dakota is a fundraiser-oriented platform covering family offices and institutional allocators with strong CRM integration. Altss provides deeper family office coverage, real-time OSINT signals, and compliance-first architecture that prevents contact burnout. Dakota is strongest for institutional list-building workflow. Altss is built for signal-timed outreach.

What is the difference between Altss and Preqin?

Preqin is the institutional analytics backbone for alternative assets — fund performance, allocation trends, and macro benchmarking. Altss is an LP intelligence platform built for fundraising execution — real-time signals, verified contacts, and behavioral data. Preqin for research. Altss for execution. Full comparison: Altss vs Preqin vs PitchBook vs Dakota.

What is the difference between Altss and PitchBook?

PitchBook is the industry standard for deal analytics, fund benchmarking, and private-markets transaction data. Altss is built for LP discovery and fundraising execution. PitchBook for market research. Altss for outreach. Full comparison: Altss vs PitchBook.

What is OSINT?

Open Source Intelligence — intelligence gathered from publicly available sources including regulatory filings, press, social media, hiring announcements, domain activity, and market signals. Applied to private markets, OSINT enables real-time tracking of allocator behavior and mandate shifts without relying on survey-based data collection. Framework: OSINT Intelligence Framework.

Does Altss cover institutional LPs beyond family offices?

Yes. As of February 2026, Altss covers 150,000+ institutional LP entities including pensions, endowments, foundations, sovereign wealth funds, insurers, fund-of-funds, consultants, and RIA/OCIO channels — alongside 9,000+ family offices under a single intelligence model.

Why doesn't Altss allow data exports?

To prevent contact burnout. When identical contact records are exported to hundreds of managers, LP inboxes saturate and response rates collapse. In-platform access preserves deliverability for every user. Contact Decay Detection explains the mechanics.

How much does Altss cost?

Family Office Dataset: $12,000/year per seat ($10,000 emerging manager). Full LP Coverage (family offices + institutional allocators): $15,500/year per seat ($12,000 emerging manager). Enterprise: custom pricing. LP databases for emerging managers.

How does Altss verify contact data?

Three layers: continuous public-source monitoring, monthly bounce-testing and validation of every email (maintaining 99.7%+ deliverability), and a client feedback loop. The OSINT Intelligence Framework documents the full methodology.

What regions does Altss cover?

Family offices and institutional LPs across 40+ jurisdictions, with particular depth in MENA, Latin America, and Southeast Asia. Europe accounts for approximately 2,630 single family offices and Asia-Pacific for 1,630, with Asia-Pacific being the fastest-growing region for family office creation. The global family office database comparison and conference calendar provide additional regional context.

Can I use multiple platforms together?

Yes. The most effective fundraising stacks combine research tools (PitchBook, Preqin) with execution tools (Altss). PitchBook for deal context and co-investor mapping. Preqin for macro trends and benchmarking. Altss for LP discovery, contact verification, real-time signals, and outreach execution. The First-Time Fund Manager Playbook covers how to structure this.

Related Resources

Frameworks: OSINT Intelligence Framework · First-Time Fund Manager Playbook · Family Office Due Diligence Process Framework · LP Due Diligence Framework

Platform Comparisons: Altss vs PitchBook · Altss vs PitchBook vs Preqin vs Dakota · Top 5 Fundraising Intelligence Platforms · Best Global Family Office Databases · LP Databases for Emerging Managers · Best LP Databases for IR Professionals

Fundraising Strategy: Elevate Family Office Fundraising · 10 Ways Altss Outperforms Legacy Databases · Best Institutional Investor Database · 2025–2026 LP Conference Calendar

Glossary: LP · GP · SFO · MFO · DPI · TVPI · Dry Powder · Investment Mandate · LP Decision Cycle · Decision Chain · Secondaries · Private Credit · Vintage Year · Commitment Pacing · Track Record · LPA · Subscription Agreement

Taxonomy: LP Decision Cycle · Contact Decay Detection · Source Triangulation · Seeding · Beneficial Ownership Structures