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Agent Frameworks

Institutional Investor Data Provider Landscape — Pricing, Coverage, and Build vs. Buy (2026)

Executive Summary · March 2026

The commercial institutional investor data market is a $2B+ fragmented landscape serving asset managers who need to identify and reach pension funds, endowments, family offices, sovereign wealth funds

The commercial institutional investor data market is a $2B+ fragmented landscape serving asset managers who need to identify and reach pension funds, endowments, family offices, sovereign wealth funds, and investment consultants. Seventeen providers are assessed here across five dimensions: named individual coverage, allocation data depth, API availability, pricing, and the critical gap that all commercial databases share — volunteer and non-compensated investment committee members.

The core finding: every commercial provider listed below treats the institution as the primary entity. Named individuals are secondary data appended to the institution record, sourced from websites, LinkedIn, and voluntary self-disclosure. None systematically mines Form 5500 Schedule C trustee lists, Form 990 board exhibits, or FOIA-obtained public pension committee rosters to build an individual-first, temporal graph of who serves where and for how long. That gap is the differentiated position for a custom-built pipeline.

Coverage Framework

For each provider the following dimensions are assessed:

Dimension Definition
Named individual coverage Does the DB include named people (not just institution records)?
Volunteer / non-compensated IC member coverage Unpaid committee members at endowments, foundations, Taft-Hartley boards — the hardest-to-find segment
Allocation history depth How many years of historical allocation data exist
Update frequency How often records are refreshed
API availability Whether programmatic bulk access exists
Geographic scope US-only vs. global
Hedge fund specificity Depth of hedge fund vs. broader alternatives coverage
CRM integration Native connectors to Salesforce, HubSpot, DealCloud, etc.

Tier 1 — Purpose-Built Allocator Databases

1. Dakota (dakotafunds.com / dakota.com)

What it is: The most widely used US institutional fundraising intelligence platform for asset managers raising capital through pensions, endowments, foundations, and RIAs. Dakota Marketplace is built specifically for the sales intelligence use case, not research or compliance.

Database stats (as of 2026):

  • 250,000+ LP accounts
  • 386,000+ verified contacts (recent product pages; earlier marketing cited 749K — the discrepancy reflects deduplication improvements)
  • 75+ data fields per allocator
  • Daily update frequency on core fields
  • Allocation data sourced from FOIA public pension schedules, voluntary responses, and scraping

Named individual coverage: Strong for US institutional channel. Covers CIOs, investment directors, and key staff at pensions, endowments, and foundations. Consultant personnel (NEPC, Callan, Aon, Mercer) are included as a distinct segment.

Volunteer / non-compensated IC member coverage: Not covered. Dakota’s contact model targets decision-makers who answer emails from asset managers. Volunteer board members at endowments and Taft-Hartley trustees are neither identified nor indexed.

Allocation history depth: Dakota publishes current allocation targets and recent changes. Historical depth is generally 2–3 years; the platform is optimized for current pipeline use, not longitudinal research.

Update frequency: Daily for key fields; full FOIA refresh on public pension data follows government publication cadence (quarterly to annually depending on jurisdiction).

API availability: API available; integration connectors to Salesforce, HubSpot, Microsoft Dynamics, Backstop, and DealCloud are offered. Dakota’s API is REST-based; bulk export is permitted within license terms.

Geographic scope: US-dominant. Some Canadian pension coverage. Not built for APAC, EMEA, or Latin American allocators.

Hedge fund specificity: Covers hedge fund allocations within the alternative investments sleeve; LP preference data includes hedge fund strategy preferences. Not as deep as eVestment for style-level granularity.

CRM integration: Best-in-class among purpose-built allocator DBs. Native sync with Backstop, DealCloud, Salesforce. Dakota + Backstop integration is widely used by mid-market GPs.

Pricing (2026):

  • Core Marketplace: confirmed ~$16,500/user/year for full access
  • Dakota Private Markets module (GP/fund performance benchmarking): $2,995/user/year as a standalone add-on
  • Multi-seat and enterprise contracts are negotiated; volume discounts from seat 3 onward
  • No free tier; no monthly billing

What it misses:

  • Volunteer endowment IC members
  • Taft-Hartley individual trustee names and committee composition
  • Non-US family offices and sovereign wealth funds
  • Temporal job-change history (current role only; no prior roles)
  • Inter-institutional relationship edges (e.g., consultant X advises pensions Y, Z, and W simultaneously)

2. iConnections

What it is: A verified identity and relationship network for LPs and GPs, built around conference attendance, event-based introductions, and post-event follow-through. iConnections launched the Pipelines CRM-within-platform product in November 2025.

Database stats:

  • 1,200+ verified LP institutional entities
  • Contact count not published; identity verification is the differentiator (LinkedIn-grade verification rather than raw scraping)
  • Launched Pipelines (November 2025): structured deal-tracking and relationship management built natively into the platform

Named individual coverage: Yes — identity verification is the core product premise. Each contact has a verified identity, which is higher signal than scraped contact data but narrower coverage than Dakota.

Volunteer / non-compensated IC member coverage: Not covered. The network is self-selected; participants opt in. Volunteer board members have no incentive to join an asset manager networking platform.

Allocation history depth: Minimal. iConnections is a relationship platform, not a data repository. Allocation preferences are self-reported by LP members.

Update frequency: Real-time for network activity; allocation data is updated when LPs self-report.

API availability: No public API documented. Platform is walled-garden by design.

Geographic scope: US and global, skewed toward institutional LPs attending US-based conferences (SALT, iConnections Global Alts, etc.).

Hedge fund specificity: Strong for hedge funds. iConnections originated in the hedge fund LP community and retains that orientation. Coverage of hedge fund-focused LPs (funds of funds, family offices allocating to HFs) is a differentiator vs. Preqin or Dakota.

CRM integration: Pipelines product (2025) provides internal pipeline management; CRM export connectors not documented at launch.

Pricing (2026):

  • Estimated $15,000–$50,000/year depending on firm type and access level
  • GP access (outreach license) is higher cost; LP access is lower or free
  • Enterprise agreements for larger GP shops with multiple users

What it misses:

  • Breadth (1,200 LP entities vs. 250,000+ for Dakota)
  • Non-volunteer discovery; the platform is opt-in only
  • Historical allocation data
  • API/data export
  • Any coverage of Taft-Hartley, public pensions below top tier, or volunteer committees

3. Preqin (now BlackRock / Aladdin)

What it is: The largest purpose-built private markets data platform. Acquired by BlackRock in March 2025 for £2.55B (~$3.2B). Integration with Aladdin’s workflow and portfolio analytics is ongoing; Preqin continues as a standalone brand for now.

Database stats:

  • 190,000+ funds tracked
  • 60,000 fund managers
  • 30,000 private markets investors (LP entities)
  • 200,000+ users globally
  • ~$240M recurring revenue (2024 run rate at acquisition)

Named individual coverage: Yes for senior investment staff (CIOs, managing directors, investment officers). Coverage is institution-first with contacts as secondary data. Depth varies — large pensions and endowments have 5–15 named contacts; smaller allocators may have only 1–2 or none.

Volunteer / non-compensated IC member coverage: Not covered. Preqin’s data model is built around professional investment staff at institutions. Volunteer committee members at foundations, university endowments, and Taft-Hartley funds do not appear.

Allocation history depth: 10–15+ years for major allocators. Historical commitment data (vintage year, fund name, amount committed, strategy) is a core Preqin differentiator. This is the deepest historical allocation database in the market.

Update frequency: Major records: quarterly. Contact data: 6–12 month lag common. Recent fundraising activity: weekly. Benchmark data: depends on reporting cycle (quarterly-to-annual for PE/RE).

API availability: Yes — Preqin Pro API offers programmatic access to LP, GP, fund, and deal data. API pricing is additive to base subscription. Python and R libraries exist. Institutional data feeds available for bulk delivery.

Geographic scope: Genuinely global. North America, Europe, APAC, MENA, Latin America. Strong coverage of Scandinavian pensions, Australian superannuation, Canadian LPs (CPPIB, OTPP, etc.), and Middle Eastern SWFs.

Hedge fund specificity: Full coverage — hedge fund strategies, performance, AUM, LP allocations to HF managers, performance benchmarks. Post-BlackRock integration, hedge fund data is one of the growth focus areas.

CRM integration: Salesforce connector, HubSpot, and DealCloud documented. Aladdin integration is in progress.

Pricing (2026):

  • Base access (single asset class): ~$12,000–$15,000/year
  • Multi-asset class license: $25,000–$50,000/year
  • Full platform with API: $50,000–$81,000/year
  • API add-on: $10,000–$30,000 depending on call volume
  • Enterprise agreements for large GPs and data teams exceed $100,000/year
  • Pricing is 100% negotiated; no public rate card; post-BlackRock acquisition, pricing pressure has increased for new contracts

What it misses:

  • Volunteer IC members — explicitly not in scope
  • Taft-Hartley trustee individuals
  • Job-change history / temporal edges
  • Non-US family office staff
  • Endowment committee volunteer rosters

4. eVestment (Nasdaq)

What it is: The dominant manager search and selection platform used by investment consultants (Callan, NEPC, Mercer, Aon, Aksia, etc.) and large institutional LPs. eVestment is the ecosystem through which consultants track manager performance and LPs monitor their managers. Not primarily a fundraising intelligence tool but the most important database for understanding consultant-LP workflows.

Database stats:

  • 25,000+ institutional investment strategies covered (traditional + alternatives)
  • 19,000+ institutional investor and consultant profiles (as cited in Nasdaq marketing)
  • Market Lens: searchable library of consultant ratings, recommendations, and manager searches
  • Institutional Fees Report: benchmark fee data for negotiation

Named individual coverage: Partial. Consultant analyst coverage is a strength — eVestment tracks which consultant analysts cover which strategies, which is unique. LP staff coverage is thinner than Dakota for fundraising purposes.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Strong for manager-level data (performance, AUM, fees). LP allocation history at the individual manager level is thinner than Preqin — eVestment’s LP data is more directional (investment preferences, search status) than transactional (exact commitment amounts).

Update frequency: Manager data: near real-time for self-reported updates; quarterly for audited. LP/consultant profiles: semi-annual to annual.

API availability: Yes — Nasdaq eVestment data is available on the Nasdaq Data Link platform and on Databricks Marketplace (announced 2024). REST API with structured data feeds.

Geographic scope: US-dominant for consultant coverage; global for institutional LP profiles.

Hedge fund specificity: Strong. eVestment’s hedge fund analytics module is widely used by fund of funds and institutional allocators evaluating HF managers. Manager due diligence workflow is the product’s core use case.

CRM integration: Integration with Salesforce and major asset manager CRMs. Nasdaq Data Link handles programmatic access.

Pricing (2026):

  • Core access (asset manager): $20,000–$40,000/year
  • Full institutional + alternatives module: $40,000–$60,000/year
  • Consultant-tier access: pricing varies by firm size; often bundled into consulting firm enterprise licenses
  • API/data feed: additive; contact Nasdaq for current rates

What it misses:

  • Named trustees and IC volunteers
  • Taft-Hartley governance data
  • Family office staff (not the target use case)
  • SWF board-level individual contacts

5. PitchBook (Morningstar)

What it is: The dominant VC and PE deal-tracking database, owned by Morningstar since 2016. Strong on venture/growth equity and private equity; coverage of hedge fund LPs is present but secondary to the private equity deal workflow use case.

Database stats:

  • LP profiles: covered but count not published; Preqin is larger for LP breadth
  • Deal database: 3M+ transactions
  • Fund database: PE, VC, real estate, debt
  • Company database: 3M+ private companies
  • Strong on deal terms, cap tables, and investor return data

Named individual coverage: Yes — PitchBook has contact data for GPs, LPs, and advisors. The People module covers investors, executives, and board members linked to deal history.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Strong for VC/PE fund commitments (vintage, amount, IRR). Hedge fund LP allocation history is thinner; PitchBook’s strength is deal-by-deal tracking, not allocation analytics.

Update frequency: Near-real-time for newly announced deals; LP contact data lags 3–12 months.

API availability: Strong. PitchBook API (REST) is available with Python SDK. One of the best APIs in the space for deal and fund data. LP data accessible via API subject to license terms.

Geographic scope: Global. Strong North America and Europe; improving APAC and MENA.

Hedge fund specificity: Present but secondary. Hedge fund manager profiles exist; LP allocations to HFs are captured at a higher level than PE commitments. Firms primarily running long/short equity may find coverage thinner than Preqin.

CRM integration: Salesforce, HubSpot, Microsoft Dynamics, DealCloud. API handles custom integrations.

Pricing (2026):

  • Single user: $12,000–$20,000/year
  • Multi-user / enterprise: $20,000–$124,000+/year (median ~$30,000 per procurement data from 114 verified transactions)
  • API access: additive; typical add-on $8,000–$20,000/year
  • Per-seat cost: $4,900–$13,500 depending on total seats
  • Multi-year contracts (2–3 year) yield 15–30% discounts; auto-renewal clauses are standard

What it misses:

  • Volunteer IC members
  • Taft-Hartley trustee individuals
  • Temporal job-change graph
  • Non-US family office staff

Tier 2 — Broader Financial Data Platforms with Allocator Coverage

6. Bloomberg Terminal

What it is: The universal financial data terminal. Used by virtually all institutional market participants. Not designed as an LP database or fundraising intelligence tool. Relevant here for three specific modules: BVAL (institutional contacts), the AIM (Asset and Investment Manager) system, and PORT (portfolio analytics).

Relevant modules:

  • AIM (Asset and Investment Manager): Order management system for institutional buy-side clients. Contains institutional account data but is primarily an OMS/workflow tool, not a contact database.
  • PORT: Portfolio analytics and holdings data for institutions. Does not expose individual trustees.
  • BVAL institutional contacts: Bloomberg’s professional network layer — contacts linked to institutional accounts. Coverage is for financial market participants who use the Terminal, not pension trustees or endowment volunteers.
  • BRC (Bloomberg Research Center): Manager research and fund data with some LP intelligence.

Named individual coverage: Yes for investment professionals who use the Terminal. Coverage of CIOs, portfolio managers, and analysts is strong. Coverage of pension trustees and endowment committee volunteers is minimal — those individuals typically do not hold Bloomberg subscriptions.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Holdings data from 13F filings (public equities only). Alternatives allocation history not available in a structured, queryable form.

Update frequency: Real-time for market data; quarterly for 13F-derived holdings; irregular for alternatives.

API availability: Bloomberg Data License (BDL) and Bloomberg API (BLPAPI) are available for institutional clients. Expensive; typically bundled with Terminal licenses. Not designed for LP database use cases.

Geographic scope: Global for Terminal users; LP/institutional contact data quality outside North America and Europe is uneven.

Hedge fund specificity: Fund manager profiles exist; hedge fund performance data via Bloomberg PORT; no structured hedge fund LP allocation database equivalent to Preqin.

CRM integration: Bloomberg AIM integrates with OMS/EMS workflows. Not a CRM-oriented product.

Pricing (2026):

  • Terminal: $24,000–$27,000/terminal/year (standard pricing; enterprise discounts available at volume)
  • Data License: additive, priced by dataset and usage volume
  • AIM OMS license: separate enterprise pricing

What it misses:

  • Structured LP database functionality
  • Volunteer committee members
  • Family office staff
  • Temporal individual history
  • Any fundraising intelligence workflow

7. FactSet

What it is: A financial data platform with strong coverage of institutional ownership (13F-derived), executive/board data (People module), and fund analytics. Used by asset managers, consultants, and institutional investors themselves for portfolio analytics and competitor analysis.

Relevant modules:

  • Ownership module: 13F-derived institutional holdings, ADV-derived adviser data, fund-level positions
  • People module: Board members, executives, and key staff at public companies and financial institutions
  • Alternative investments module: Fund data, LP commitments, manager analytics

Named individual coverage: Strong for public company board members and executives (People module). Investment fund staff: moderate — CIOs and senior portfolio managers at major institutions are covered. Volunteer IC members: not covered.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Strong for 13F-derived public equity holdings (15+ years). PE/alternative allocation history is available but less comprehensive than Preqin.

Update frequency: 13F data: quarterly with 45-day SEC lag. People data: quarterly to semi-annual. Alternative fund data: quarterly.

API availability: Strong. FactSet’s API (FactSet Formula API, Data Manager) is one of the better-documented APIs in the space. Python, R, and Java libraries. Snowflake Marketplace integration.

Geographic scope: Global. Strong international coverage for People module (non-US board members). International alternative fund coverage improving.

Hedge fund specificity: Moderate. 13F shows institutional owners’ public equity positions; ADV-derived data shows adviser AUM; dedicated hedge fund strategy/performance database is thinner than eVestment or Preqin.

CRM integration: Salesforce and standard CRM connectors available.

Pricing (2026):

  • Workstation Basic: ~$333/user/year (limited modules)
  • Workstation Standard: ~$1,000/user/year
  • Workstation Premium: ~$2,500/user/year
  • Full enterprise with Ownership + People + Alternatives: $12,000–$30,000+/year per user
  • Note: per-user pricing multiplies rapidly; a 10-person team on Standard = $120,000/year before add-ons

What it misses:

  • Volunteer IC members
  • Taft-Hartley trustee individuals
  • Temporal job-change graph
  • FOIA-derived pension allocation schedules at the fund level

8. Refinitiv / LSEG Workspace (including BoardEx)

What it is: London Stock Exchange Group’s financial data platform, formerly Refinitiv (formerly Thomson Reuters Financial & Risk). Includes LSEG Workspace (Eikon successor), World-Check (KYC screening), and the acquired BoardEx product (people intelligence).

BoardEx — key sub-product: BoardEx is the most important individual-level database in this comparison for the custom DB’s competitive context. It tracks 1.5M+ public and private board members and senior executives worldwide, including:

  • Current and historical positions
  • Committee roles (audit, compensation, governance, investment)
  • Educational background
  • Connection mapping (who sits with whom on multiple boards)
  • M&A advisory roles

Named individual coverage: The strongest in the market for board and committee members. BoardEx was purpose-built to track individuals across institutions over time.

Volunteer / non-compensated IC member coverage: Partial — BoardEx covers non-executive directors and committee roles at public companies, large private companies, and major nonprofits. Coverage of university endowment investment committees and foundation IC volunteers depends on whether the organization files publicly or has a sufficient media/LinkedIn footprint. Taft-Hartley union trustees are generally not covered. Smaller foundation IC members with no public profile are not covered.

Allocation history depth: BoardEx tracks role history (when a person joined and left a board/committee) but does not track allocation data. It is a people graph, not an allocations database.

Update frequency: Ongoing — BoardEx maintains a research team for updates. Data freshness is quarterly to semi-annual for most records; major public company changes are faster.

API availability: LSEG Data & Analytics API (formerly Refinitiv Eikon API) — available but complex to configure for BoardEx-specific data. Enterprise agreements required.

Geographic scope: Global — BoardEx is strongest in North America and UK; EMEA coverage is broad; APAC improving.

Hedge fund specificity: BoardEx covers hedge fund management company boards and executives, not LP hedge fund allocation data.

CRM integration: LSEG Workspace has Salesforce and CRM connectors; BoardEx-specific CRM integration requires API work.

Pricing (2026):

  • LSEG Workspace: $15,000–$50,000+/year depending on modules
  • BoardEx standalone access: pricing not published; estimated $10,000–$25,000/year for a professional seat; enterprise pricing for bulk/API
  • World-Check: separate add-on, KYC-use-case priced

What it misses:

  • Taft-Hartley trustee individuals (below BoardEx’s coverage threshold)
  • Most volunteer endowment IC members without public profiles
  • FOIA-derived pension allocation data
  • Temporal job change at the granularity of month/year for non-public-company roles

9. S&P Global Market Intelligence (Capital IQ Pro)

What it is: S&P’s comprehensive financial data platform covering public and private companies, funds, deals, and people. Capital IQ Pro is the current product name for what was formerly Capital IQ. Competes directly with FactSet and Bloomberg at the institutional user level.

Relevant data:

  • Fund data: PE, VC, RE, infrastructure, hedge funds
  • People data: executives, board members, analysts
  • LP profiles: capital commitment breakdown, allocation insights (added in recent product updates)

Named individual coverage: Strong for public company executives and board members. Fund manager personnel at GP firms: good. LP-side investment staff: moderate. Volunteer IC members: not covered.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Moderate for PE/VC (vintage, commitment amounts). Alternative fund allocations from pension and endowment annual reports where available publicly.

Update frequency: Quarterly for most fund and people data; real-time for public market data.

API availability: S&P Global API (Capital IQ Pro API) — available with enterprise license. Snowflake Marketplace integration. Well-documented REST API.

Geographic scope: Global.

Hedge fund specificity: Hedge fund manager profiles and performance data available; LP allocation tracking is less granular than Preqin or eVestment.

CRM integration: Salesforce, HubSpot, Microsoft Dynamics.

Pricing (2026):

  • UK public sector documented: £45,000–£250,000/year for 5–100 users
  • US enterprise estimates: $20,000–$50,000/year per seat for full platform
  • Modular pricing by data type; funds module is additive

What it misses:

  • Volunteer IC members
  • Taft-Hartley trustee individuals
  • FOIA-derived allocation schedules
  • Individual job-change temporal graph

10. Morningstar Direct

What it is: Morningstar’s institutional research and analytics platform. Best known for mutual fund and ETF data. Extended to alternatives and institutional investors but this is not its core strength. Morningstar acquired PitchBook in 2016 — the two platforms remain separate products targeting different workflows.

Named individual coverage: Weak. Morningstar Direct is an investment analytics platform, not a contact database.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Strong for mutual funds and ETFs. PE/alternatives: basic. Hedge funds: covered through manager database but not LP allocation history.

Update frequency: Daily for public fund data; quarterly for alternatives.

API availability: Morningstar Direct API available; well-documented for fund data; LP contact data is not API-accessible.

Geographic scope: Global for fund coverage.

Hedge fund specificity: Hedge fund manager profiles exist; hedge fund LP allocation data is minimal.

CRM integration: Limited relative to competitors.

Pricing (2026):

  • Starting above $10,000/year for institutional access
  • Full platform: $17,500–$25,000+/year (first user); per-user additive
  • Enterprise pricing higher; Morningstar Workspace is the newer bundled offering

What it misses:

  • Contact database functionality
  • LP-level allocation tracking
  • Any individual-level people data

Tier 3 — Specialized and Niche Providers

11. Backstop Solutions

What it is: A CRM platform built specifically for asset managers (hedge funds, PE, and VC) with an embedded LP contact database. The database is built from voluntary contribution by member firms — a shared pool model.

Named individual coverage: Yes — contacts are first-class objects. Backstop’s database includes LP contact records sourced from member firms’ own outreach history.

Volunteer / non-compensated IC member coverage: Not covered. The shared-pool model captures whoever asset managers have already contacted — a selection bias toward reachable, professional staff, not volunteer trustees.

Allocation history depth: Depends on firm’s own data entry. Platform supports storing allocation history but does not supply it.

Update frequency: Firm-driven; community-contributed updates.

API availability: Yes; Backstop API for integration with data feeds including Dakota, Preqin, and eVestment.

CRM integration: Native CRM; integrates with Dakota (official partnership), eVestment, and Preqin data feeds.

Pricing (2026):

  • $30,000–$100,000+/year depending on firm size, user count, and data feeds
  • Full platform (CRM + data + reporting): higher end of range

Gap: LP database is a CRM overlay, not a primary data source. Coverage gaps in the community model track closely with who is hard to reach commercially.

12. DealCloud (Intapp)

What it is: A deal flow and relationship management CRM for PE, infrastructure, and credit funds. The LP module tracks investor relationships; the embedded database is thinner than Backstop.

Named individual coverage: Yes for contacts managed within the CRM.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: CRM-captured; not a primary data provider.

API availability: Yes; DealCloud API for integrations; official Dakota and Preqin connectors.

CRM integration: Native; integrates with major data providers.

Pricing (2026):

  • $50,000–$150,000+/year for full platform; premium pricing relative to Backstop
  • Pricing is enterprise-negotiated; Intapp bundles DealCloud with other professional services software

Gap: Same as Backstop — platform captures what users input; does not independently source volunteer committee members.

13. Global SWF

What it is: A data platform focused exclusively on sovereign wealth funds and public pension funds. Tracks 400+ SWFs and PPFs with portfolio and personnel data on the top 100.

Named individual coverage: Yes — personnel data is a product feature. CIOs, deputy CIOs, and key investment staff at SWFs and PPFs are tracked.

Volunteer / non-compensated IC member coverage: Partial — SWF governance board members (board of directors, supervisory board) are included where they are publicly disclosed. Coverage is better than most commercial DBs because SWF governance is often published in annual reports and government filings. But non-executive committee members without public profiles are still gaps.

Allocation history depth: Good for major SWFs (ADIA, Temasek, GIC, NBIM, CIC, Mubadala). Annual portfolio snapshots with 5–10 year histories. Asset allocation and strategy data by asset class.

Update frequency: Quarterly research reports; annual deep-dive coverage.

API availability: Not documented; likely manual export.

Geographic scope: Genuinely global by design — this is its core purpose.

Hedge fund specificity: Included as an asset class within SWF/PPF allocation tracking. Not granular at the individual hedge fund manager level.

Pricing (2026):

  • Estimated $2,000–$5,000/year for data access
  • Research reports sold separately
  • Executive education and consulting services are separate revenue lines

Gap: Coverage outside top 100 SWFs/PPFs is thin; personnel data below C-suite is sparse.

14. SWFI — Sovereign Wealth Fund Institute (swfinstitute.org)

What it is: An independent research and data organization covering sovereign wealth funds, public pension funds, central banks, and other state-owned investors. SWFI produces the Sovereign Wealth Quarterly and maintains a subscription investor research platform.

Named individual coverage: Yes — board structures, management teams, and key decision makers are tracked. SWFI explicitly profiles management and board structures with connections.

Volunteer / non-compensated IC member coverage: Partial — similar to Global SWF; SWF board member coverage depends on public disclosure quality in each country. Non-US fund governance transparency varies enormously.

Allocation history depth: Better than Global SWF for breadth (more entities covered). Depth per entity is thinner.

Update frequency: News and transactions: ongoing. Research profiles: quarterly.

API availability: Datafeed/API service available as an add-on to subscription. REST API and customizable webhooks documented.

Geographic scope: Global.

Pricing (2026):

  • Subscription tiers: multiple levels published (2023 announcement of new tier structure)
  • Estimated range: $299–$999/month for individual subscription; enterprise pricing additive
  • API datafeed: additional cost; contact for pricing

Gap: SWFI is a research organization, not a data engineering firm. Data quality and completeness varies more than commercial alternatives.

15. BoardEx (standalone, now part of LSEG)

(Covered as part of LSEG/Refinitiv above; this entry covers its standalone history and distinct capabilities.)

BoardEx was acquired by LSEG (then by Euronext, then re-acquired by LSEG after various corporate actions). Prior to full integration into LSEG Workspace, BoardEx was sold as a standalone people intelligence product.

Standalone distinguishing capabilities:

  • Relationship path mapping (how many degrees of connection between Person A and Person B through shared board service)
  • Committee role tracking (explicitly tracks investment committee, audit committee, compensation committee roles)
  • Non-executive director tracking as a primary use case
  • 1.5M+ individuals across public and private entities globally

Why this matters for the custom DB comparison: BoardEx is the closest commercial analogue to what a person-graph approach achieves, but it has systematic blind spots:

  1. It builds from publicly available sources (companies house, SEC EDGAR, annual reports, press releases). Organizations with minimal public filing obligations — smaller foundations, Taft-Hartley funds, non-US family office holding companies — do not appear.
  2. It tracks roles and board service but does not track allocation decisions, investment preferences, or AUM data.
  3. It does not mine Form 5500 Schedule C, Form 990 Part VII, or FOIA public pension documents for trustee names.

16. Bison (bison.vc)

What it is: An LP/GP database for VC and PE, positioned as an alternative to PitchBook and Preqin for emerging managers and smaller funds. Primarily US-focused.

Named individual coverage: Yes at a basic level — contacts for institutional LPs and family offices.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Moderate for VC/PE. Hedge fund LP coverage is minimal.

API availability: Not documented as a primary feature.

Pricing (2026):

  • Not publicly disclosed; estimated $5,000–$15,000/year based on market positioning

Gap: Smaller coverage base; relies on similar data sources as PitchBook without the breadth.

17. PipelineRoad

What it is: A newer-entrant capital raising platform for fund managers with a freemium model. Positions as a cheaper alternative to Dakota for smaller GPs and emerging managers.

Database stats:

  • 570,000+ investor profiles (across 30+ sources — aggregated, not primarily researched)

Named individual coverage: Yes for senior contacts at institutional LPs and RIAs.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Minimal; the platform is optimized for outreach, not research.

API availability: Not documented.

Pricing (2026):

  • Freemium model with paid tiers; substantially cheaper than Dakota
  • Estimated $2,000–$8,000/year for full access

Gap: Data quality at the 570K profile scale reflects aggregation without the research depth of Dakota or Preqin. Higher false-positive rate on stale contacts.

18. Juniper Square

What it is: A fund management operations platform (fund accounting, LP portal, investor reporting, capital calls) built for real estate but expanding to other alternative asset classes. Not a prospecting or contact database.

Named individual coverage: Captures LP investor records for the funds using the platform, but this data is not a sellable database.

Volunteer / non-compensated IC member coverage: Not covered.

Allocation history depth: Holds commitment and distribution history for funds using the platform — useful for IRs managing existing LPs, not for prospecting.

API availability: Platform API for integrations.

Pricing (2026):

  • $600–$1,500+/month for core plans; enterprise pricing scales with fund count and LP count
  • 600,000+ LP accounts on platform (operational accounts, not prospecting profiles)

Gap: Operational tool, not a discovery/intelligence tool.

19. FINTRX

(Not in the original brief but a material player for family office coverage)

What it is: A family office and private wealth intelligence platform. Primary differentiator: deepest coverage of the single-family office and multi-family office segment among commercial providers.

Database stats:

  • 4,000+ family offices
  • 23,000+ family office contacts
  • 75-person research desk for data maintenance

Named individual coverage: Strong for family office staff — this is FINTRX’s core value proposition. Covers investment directors, CIOs, and portfolio managers at SFOs and MFOs.

Volunteer / non-compensated IC member coverage: Not systematically covered. Family office principals and next-generation family members serving on investment committees are underrepresented.

Allocation history depth: Investment preference and strategy orientation data; less historical commitment data than Preqin.

Update frequency: Regular research desk maintenance; AI-assisted enrichment.

API availability: Yes — REST API and Snowflake / Microsoft Dynamics / Salesforce / HubSpot connectors.

Geographic scope: Global with US-heavy concentration.

Pricing (2026):

  • Custom quotes only; no published pricing
  • Estimated $10,000–$40,000/year based on comparable platforms

Gap: Non-US family offices are thinner; family members serving on investment advisory committees without a formal professional title are systematically missed.

Master Comparison Table

Provider Named Individuals Volunteer IC Members Alloc. History Update Freq. API Geographic Scope HF-Specific CRM Integration Price Range (2026)
Dakota ✓ Strong ✗ 2–3 years Daily ✓ US-dominant Moderate ✓ Best-in-class $16,500/user/yr
iConnections ✓ Verified ✗ Minimal Real-time (self-reported) ✗ US + global ✓ Strong Pipelines (new) $15K–$50K/yr
Preqin ✓ Moderate ✗ 10–15+ years Quarterly ✓ Global ✓ Strong ✓ $12K–$81K+/yr
eVestment ✓ (consultants) ✗ Manager-level Semi-annual ✓ Databricks US-dominant ✓ Strong ✓ $20K–$60K/yr
PitchBook ✓ Good ✗ 10+ years PE/VC Quarterly ✓ Strong Global Moderate ✓ $12K–$124K+/yr
Bloomberg ✓ Terminal users ✗ Quarterly (13F) Real-time (mkts) ✓ BDL Global Moderate Workflow-only $24K–$27K/terminal
FactSet ✓ Moderate ✗ 15+ years (13F) Quarterly ✓ Strong Global Moderate ✓ $333–$2,500/user/yr +
LSEG / BoardEx ✓ Best board ✗ Partial Role history only Quarterly ✓ Complex Global ✗ ✓ $15K–$50K+/yr
S&P Global / Cap IQ ✓ Moderate ✗ Moderate Quarterly ✓ Global Moderate ✓ $20K–$50K+/yr
Morningstar Direct ✗ Weak ✗ Fund/ETF strong Daily (public funds) ✓ Global Weak Limited $10K–$25K+/yr
Backstop ✓ CRM-captured ✗ CRM-captured Firm-driven ✓ US-dominant Moderate ✓ Native $30K–$100K+/yr
DealCloud ✓ CRM-captured ✗ CRM-captured Firm-driven ✓ US-dominant Moderate ✓ Native $50K–$150K+/yr
Global SWF ✓ C-suite SWF ✗ Partial 5–10 years Quarterly ✗ Global Moderate ✗ $2K–$5K/yr
SWFI ✓ Board+mgmt ✗ Partial Moderate Ongoing ✓ API add-on Global Moderate ✗ $299–$999/mo
Bison ✓ Basic ✗ Moderate Quarterly ✗ US-dominant Limited ✗ $5K–$15K/yr
PipelineRoad ✓ Senior only ✗ Minimal Irregular ✗ US-dominant Limited ✗ $2K–$8K/yr
Juniper Square ✓ Operational ✗ Operational Platform-driven ✓ US-dominant ✗ ✓ $7K–$18K+/yr
FINTRX ✓ FO-focused ✗ Preferences only Regular ✓ Global (US-heavy) Moderate ✓ $10K–$40K/yr

The Universal Gap: What Every Commercial Provider Misses

Gap 1 — Volunteer and Non-Compensated Committee Members

Every commercial database listed above was built to serve asset managers trying to fundraise. Their customer is a GP who wants to call an LP. The LP they want to call is a person with a professional title, a business email, and a compensation package that makes them a full-time investment professional.

Volunteer investment committee members are a different population:

  • University endowment investment committees: Typically 7–15 members drawn from alumni trustees. Most members have day jobs at hedge funds, PE firms, corporations, or family offices. They receive no compensation for IC service. They are never in the institution’s org chart. They do not appear in LinkedIn searches for “Harvard Management Company” because they are not HMC employees. Commercial databases that scrape LinkedIn miss them entirely.

  • Foundation investment committees: Community foundations, private foundations with AUM of $25M–$2B. The IC chair is often a local banker, an heir to the founding family, or a civic leader. They are disclosed in Form 990 Part VI (governance) and the Schedule of Officers, but almost no commercial database mines these systematically.

  • Taft-Hartley joint boards of trustees: Multi-employer pension funds governed under the Labor Management Relations Act require equal representation from union-appointed and employer-appointed trustees. Neither group is compensated for trustee service. Individual names appear on Form 5500 Schedule C and on DOL annual reports. Commercial databases do not mine these filings for individual trustee names.

  • Public pension advisory boards and oversight committees: State public pensions frequently have investment advisory boards separate from the board of trustees. Members are political appointees or citizen volunteers. Names are public — meeting minutes, governor appointment announcements, pension annual reports — but are not systematically indexed.

  • Non-US equivalents: Dutch IOPP pension scheme supervisory boards; UK local government pension scheme investment subcommittee members; Canadian pension fund advisory panels.

Why this matters commercially: Reaching the volunteer IC member before they transition to a paid CIO role is the highest-conversion, lowest-competition outreach window in the institutional market. A portfolio manager at a major hedge fund who quietly serves on Yale’s endowment IC today will be the CIO of a $50B pension in five years. No commercial database identifies them in their volunteer role.

Gap 2 — Temporal Edges: Job Change History

Every commercial database stores the current role. Some (BoardEx, LinkedIn) store prior roles if the individual self-reports them or if they are in public filings. None maintains a structured temporal graph of:

  • When Person A left Institution X (month/year)
  • When they joined Institution Y
  • Whether they carried allocation relationships with them (e.g., maintained GP relationships from prior role)
  • Who filled their seat at Institution X
  • Whether the departing allocator’s replacement changed the allocation strategy

This information is the highest-signal predictor of re-opening conversations:

  • Allocators who leave LPs often become consultants or GPs — existing GP relationships should be maintained
  • Allocators who join LPs bring their prior GP relationships as presumptive favorites for first-meeting slots
  • A new CIO at a pension has a 12–18 month review window where incumbents are vulnerable and challengers have a shot

Commercial databases flag job changes when they discover them; they do not maintain structured edge history with timestamps that can be queried for “show me everyone who left Fund X in the past 24 months and where they went.”

Gap 3 — FOIA Allocation Schedules at Fund-Level Granularity

Public pensions in the US are subject to FOIA (Freedom of Information Act) requests for their investment schedules. These schedules disclose:

  • Fund manager name
  • Commitment amount
  • Vintage year
  • Reported net IRR or TVPI (in some states)
  • Effective date of investment

Preqin and Dakota both run FOIA pipelines to collect these. The commercial database limitation is:

  1. Coverage is selective: Preqin and Dakota target the largest pensions with the most actionable data. They do not systematically FOIA mid-sized county or municipal pensions, multi-employer Taft-Hartley plans, or smaller state plans.
  2. Refresh lag: FOIA responses take 30–90 days. Commercial databases often have 6–18 month lags on smaller jurisdictions.
  3. Fund-level vs. manager-level: Some FOIA responses give manager-level aggregate allocations; the actual fund-level commitment (Fund III vs. Fund IV) requires additional work.
  4. OCR quality: Many FOIA responses are scanned PDFs. Commercial databases often hand-key selective data. A custom OCR pipeline can ingest all pages, not just selected rows.

A custom FOIA pipeline can:

  • Cover 100% of US public pensions (vs. 20–30% for commercial DBs at fund-level granularity)
  • Run on a weekly refresh rather than quarterly
  • OCR-parse the full schedule rather than cherry-picking named funds
  • Cross-reference individual trustee names from Form 5500 with the allocation decisions they oversee

Gap 4 — Non-US Family Offices

Commercial databases (FINTRX, Dakota, PitchBook) have strong US family office coverage. Non-US family office coverage has systematic gaps:

  • European multi-family offices: Germany’s large MFO market (Feri, Huber, Reuss, etc.) and UK equivalents are partially covered by LSEG/BoardEx but not by purpose-built allocator DBs
  • Asian family offices: Singapore and Hong Kong single-family offices are almost entirely absent from US-focused commercial DBs. Preqin has improving APAC coverage but family office penetration is thin.
  • Latin American family offices: Near-zero coverage in all major commercial databases
  • Middle Eastern family offices (non-SWF): The family office operations of the major Gulf families below the SWF level are not covered by SWFI or Global SWF; commercial US databases have no coverage

For a firm raising capital from non-US family offices, no commercial database provides adequate individual-level contact coverage. The custom database’s browser-use harvesting component could systematically mine foreign company registries (UK Companies House, Singapore ACRA, German Handelsregister) for investment holding company board members.

Build vs. Buy Analysis

Cost of Commercial Alternatives

For a firm that needs:

  • US pension trustee individual coverage (Taft-Hartley + public)
  • Endowment IC volunteer coverage
  • Family office staff (US + key international)
  • SWF board-level contacts
  • Allocation history at fund level
  • API access for CRM integration

Minimum viable commercial stack:

Provider Purpose Annual Cost
Dakota US institutional contact base $16,500
Preqin Allocation history + global LP base $25,000
SWFI or Global SWF SWF personnel $4,800
FINTRX Family office contacts $15,000
Total Still misses volunteers and Taft-Hartley trustees ~$61,300/year

Adding eVestment for consultant coverage: +$25,000–$40,000 = ~$86,300–$101,300/year

At enterprise scale (multi-seat, API access), the stack cost is $150,000–$300,000+/year.

And the commercial stack still does not cover:

  • Volunteer endowment IC members
  • Taft-Hartley individual trustee names
  • Non-US family offices at individual staff level
  • Temporal job-change edges

Custom Build Cost Model

Data pipeline components:

Component One-Time Build Annual Ongoing
Form 5500 ingestion pipeline (DOL EFAST2 bulk download) $5,000–$10,000 dev $1,000–$2,000/yr (storage + processing)
Form 990 OCR pipeline (IRS bulk data + ProPublica Nonprofit Explorer) $8,000–$15,000 dev $2,000–$3,000/yr
EDGAR ADV parsing (SEC IAPD bulk download) $3,000–$6,000 dev $500–$1,000/yr
FOIA public pension request automation $10,000–$20,000 dev $3,000–$8,000/yr (legal fees + processing)
Browser-use harvesting (university IC pages, foundation governance pages) $8,000–$15,000 dev $2,000–$4,000/yr (infrastructure)
PDF mining + OCR (Chandra/Qwen3.5-VL or equivalent) $5,000–$10,000 dev $1,500–$3,000/yr (GPU costs)
SQLite temporal graph DB (entity resolution, deduplication) $15,000–$25,000 dev $2,000–$5,000/yr (maintenance)
CRM integration API layer $5,000–$8,000 dev $1,000–$2,000/yr
Total $59,000–$109,000 one-time $13,000–$28,000/yr

Amortized over 3 years: $59K–$109K build + $39K–$84K operating = $98K–$193K total vs. $183K–$300K+ for commercial stack over the same period.

Break-even: 18–24 months assuming build costs at the low end; 24–36 months at the high end.

The build cost buys something commercial stack cannot: exclusive data on volunteer IC members, Taft-Hartley trustee individuals, and temporal job-change edges. That data has no commercial substitute at any price.

Build vs. Buy Decision Framework

Choose commercial stack when:

  • Time-to-data is critical (need contact data in 30 days, not 12 months)
  • Coverage of mainstream institutional channel (large US pensions, major endowments, top family offices) is sufficient
  • Budget is $50K–$100K/year and volunteer IC coverage is not a priority
  • Team lacks data engineering capacity to build and maintain pipelines

Choose custom build when:

  • Taft-Hartley trustee individuals and endowment volunteer IC members are a target segment
  • Temporal job-change tracking (who left where, when, who replaced them) is a workflow requirement
  • Non-US family offices at staff level are required
  • FOIA allocation data at full-pension-universe coverage (not top-50-only) is needed
  • Long-term proprietary data moat is a strategic objective
  • Team has or can hire data engineering capacity

Hybrid approach (recommended):

  • License Dakota ($16,500/year) for mainstream US institutional channel coverage and CRM sync
  • License SWFI or Global SWF ($3,000–$5,000/year) for SWF coverage
  • Build the custom pipeline for the three segments commercial providers miss: Taft-Hartley trustees, endowment IC volunteers, and non-US family offices
  • Total hybrid cost: ~$25,000/year commercial + $59K–$109K build = breaks even vs. full commercial stack in year 2–3 while producing data unavailable at any price

Data Source Quality Assessment

Source Data Type Public/FOIA Trustee Names IC Volunteers Update Cadence
Form 5500 (DOL EFAST2) Pension plan filings, service providers, trustees Public ✓ Schedule C ✗ Annual (plan year)
Form 990 (IRS / ProPublica) Nonprofit financials, board, officers Public ✓ Part VII ✓ Part VI (governance) Annual
EDGAR ADV (SEC IAPD) Investment adviser registration, personnel Public ✗ ✗ Annual + material changes
FOIA public pension schedules Investment manager lists, commitment amounts FOIA ✗ ✗ Annual (some quarterly)
University IC governance pages IC member names, bios Public (variable) ✗ ✓ Best source Irregular
Foundation annual reports Board and IC members Public (variable) ✗ ✓ Annual
State pension annual reports Trustees, board, staff Public ✓ ✗ Annual
Taft-Hartley fund websites Trustee names, fund governance Public (variable) ✓ ✗ Irregular
Government gazette / appointment notices Public pension board appointments Public ✓ ✗ Event-driven
LinkedIn (compliant scraping) Current role, prior roles, IC mentions Semi-public Partial Partial Self-reported

Temporal Graph Differentiation — Technical Note

The custom database’s use of SQLite with temporal edges creates a data structure no commercial provider offers in queryable form. The temporal edge model stores:

entity: person_id → institution_id
edge_type: [employment, board_service, trustee_appointment]
valid_from: date
valid_to: date (NULL = current)
role: string
source: [form_5500, form_990, foia, browser_harvest]
confidence: float

This enables queries commercial databases cannot answer:

  • “Show all Taft-Hartley trustees who rotated off a pension board in the past 18 months and now show no active institutional affiliation” (transition window for new conversations)
  • “Show all endowment IC members at top-50 endowments who also hold a current role at a hedge fund or PE firm” (high-influence cross-pollinators)
  • “Which allocation changes at pension X occurred within 12 months of a new trustee joining the board?” (new trustee influence on allocation)
  • “Map the career graph of investment consultants — who at Callan has worked at which LPs before/after?” (consultant relationship genealogy)

None of these queries are possible with commercial databases because they do not store temporal edges for individuals, and they do not have volunteer/trustee individual coverage in the first place.

Competitive Moat Assessment

Data Asset Commercial DB Availability Custom DB Build Feasibility Moat Duration
US large pension investment staff High (Dakota, Preqin) Redundant to build N/A
Taft-Hartley individual trustees Not available Form 5500 + website harvest 3–5 years (no one else building)
University endowment IC volunteers Not available Form 990 + IC page harvest 3–5 years
Foundation IC volunteers Not available Form 990 harvest 3–5 years
Public pension trustee individuals Partial (state pensions) Full via Form 5500 + state filings 1–2 years (some commercial effort here)
SWF board contacts Partial (SWFI/Global SWF) Annual report + government gazette harvest 1–2 years
Non-US family office staff Not available Foreign registry harvest (Companies House, ACRA, etc.) 3–5 years
Temporal job-change graph Not available LinkedIn + form harvest 3–5 years
FOIA allocation data (full universe) Partial (top-50 pensions) Automated FOIA pipeline 2–3 years

Key Findings

  1. No commercial provider covers volunteer investment committee members. This is a genuine white space, not a coverage gap that will close as vendors add more fields. The business model of commercial allocator databases is built around professional investment staff who can be called and emailed. Volunteer committee members are outside that value chain.

  2. Preqin has the deepest allocation history but is increasingly expensive. Post-BlackRock acquisition, Preqin is being integrated into an Aladdin ecosystem priced for institutional clients. Small and mid-market GPs face pricing pressure. The custom pipeline’s FOIA component replicates the most important Preqin asset (public pension allocations) at negligible marginal cost.

  3. Dakota is the best single commercial purchase for US institutional fundraising. $16,500/year for 250,000+ LP accounts with daily updates and native CRM integration is the market’s best price-to-coverage ratio for mainstream US institutional channel. The custom DB should complement, not replace, Dakota for that segment.

  4. BoardEx is the closest commercial analogue to a person-graph approach — but it misses Taft-Hartley trustees, most endowment IC volunteers, and does not track allocation data. The custom DB does all three.

  5. The temporal edge model has no commercial substitute. Job-change history as a queryable graph is genuinely unavailable. This is the highest-value differentiation with the lowest risk of commercial competition — the large providers have no incentive to build it because it does not fit their fundraising-intelligence business model.

  6. Build cost is $60K–$110K one-time; hybrid approach breaks even in 2–3 years relative to full commercial stack while producing proprietary data unavailable at any price.

Sources