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Millions

Private placement and ownership filings indexed

Real-Time

New filing ingestion as disclosures are published

Full

LP/GP relationship and entity graph coverage

Built for Private Markets Professionals

Visibility into private capital that is available nowhere else at this price point

Regulatory filings contain more private market intelligence than most practitioners realize. DataDock makes that intelligence accessible through a structured API, reducing the hours of manual document review that currently stand between analysts and the signals they need.
Venture Capital

VC and Growth Equity Firms

Track new capital raises by sector, stage, and geography using private placement filing data. Monitor founder and fund activity across the market to identify emerging opportunities and competitive deal flow before they are publicly announced.
Institutional Allocation

Fund of Funds and Institutional Allocators

Access structured fund profiles, GP track records, and LP relationship maps derived from regulatory filings. Support manager due diligence and portfolio monitoring with primary source data that does not rely on self-reported fund materials.
Wealth Management

Family Offices and Wealth Advisers

Monitor private investment activity of high-net-worth individuals and family investment vehicles across ownership threshold filings, private placement records, and investment adviser disclosures. Build more complete pictures of wealth concentration and capital deployment patterns.
Platform Development

Fintech and Data Platform Builders

Integrate private markets data directly into deal management tools, CRM platforms, LP portals, or analytics dashboards via API. Access the same structured filing data that powers institutional research without building your own ingestion and parsing infrastructure.

Filing Coverage

The regulatory filings that reveal private market activity

Private markets are not fully opaque. Significant capital flow activity is disclosed through regulatory filing obligations that most participants do not systematically monitor. DataDock indexes and structures this data so it becomes queryable rather than buried in document archives.
Private Placements
Private Placements
Notice of exempt offerings disclosing offering size, investor class, exemption type, and fund structure for private capital raises.
Ownership Filings
Ownership Disclosures
Beneficial ownership threshold filings revealing significant positions and changes in control across public and closely held companies.
Adviser Registrations
Investment Adviser Registrations
Adviser registration filings containing AUM, strategy, client type, fee structure, and disciplinary history for registered investment managers.
Insider Transactions
Insider Transactions
Director, officer, and significant shareholder transaction disclosures revealing insider buying, selling, and grant activity.
Institutional Holdings
Institutional Holdings
Quarterly institutional portfolio disclosures showing equity positions held by funds, advisers, and other large institutional investors.
Entity Graph
LP/GP Relationships
Inferred and disclosed relationships between limited partners, general partners, fund vehicles, and their affiliated entities and principals.

How It Works

From regulatory filing to private markets intelligence

DataDock runs a continuous pipeline from raw filing ingestion through entity resolution, relationship graph construction, and enriched API delivery so analysts and builders work with structured data rather than raw documents.
Continuous Filing Ingestion and Parsing
DataDock monitors and ingests private market regulatory filings as they are published. Offerings, ownership threshold crossings, adviser registrations, and institutional holdings are parsed from structured and semi-structured source documents, extracting the key fields that drive private markets analysis: offering amounts, investor classifications, fund types, exemption categories, and declared strategies.
Entity Resolution Across Filing Types
The same fund, GP, LP, or portfolio company appears across multiple filing types and under different name variants and identifiers. DataDock applies entity resolution to consolidate these into unified records, linking a fund vehicle to its manager, its principals, its prior offerings, and its disclosed investors across the full historical filing record rather than treating each document in isolation.
LP/GP Relationship and Ownership Graph Construction
Disclosed and inferred relationships between limited partners, general partners, fund vehicles, and affiliated entities are mapped into a queryable relationship graph. Analysts can traverse fund structures, identify co-investors, surface repeat LP relationships, and flag ownership chains that indicate concentration or related-party dynamics that would otherwise require manual cross-referencing across hundreds of documents.
Capital Flow and Sector Enrichment
Offering-level data is enriched with sector classification, geographic tagging, and temporal metadata that enables capital flow analysis across industry verticals, funding stages, and time periods. Track how capital moves between asset classes, which sectors are seeing new fund formation activity, and which geographies are receiving concentrated institutional attention across a given period.
Flexible Query and Integration via API
All enriched data is accessible through RESTful API endpoints supporting queries by entity name, filing type, date range, geography, fund type, investor class, and offering size. Batch export endpoints support large-scale historical pulls for research workflows, while real-time endpoints support deal monitoring and portfolio surveillance applications.

Use Cases

How legal teams put DataDock to work

From fund discovery to beneficial ownership analysis, DataDock supports the workflows that depend on structured private markets data.
Fund and Manager Discovery

Identify active funds raising capital in your target sector or stage using private placement filing data. Track new fund formation activity and monitor manager registration disclosures for adviser strategy and AUM changes.

Capital Flow Monitoring

Track capital deployment patterns across sectors, geographies, and fund stages. Identify which verticals are attracting new institutional commitments and which are seeing reduced activity based on structured offering data.

Manager Due Diligence

Pull structured fund profiles, historical offering records, adviser registration data, and disciplinary disclosures for investment managers under evaluation. Supplement GP-provided materials with independent primary source data.

Deal Pipeline Enrichment

Enrich CRM and deal management systems with real-time investor activity data. Identify when target companies have received new institutional capital, crossed ownership thresholds, or registered new affiliated entities.

Beneficial Ownership and UBO Analysis

Traverse disclosed ownership structures to infer ultimate beneficial ownership for complex fund vehicles and holding structures. Support KYC, AML, and governance workflows that require understanding who ultimately controls an investment entity.

Private Markets Analytics Platforms

Integrate structured private markets data directly into LP portals, analytics dashboards, or research tools. Deliver institutional-grade filing intelligence to your users without building your own regulatory data ingestion infrastructure.

API and Integration

Built for analysts and builders who need private markets data at scale

DataDock’s private markets API is designed for flexible integration into research workflows, analytics platforms, and data pipelines. Whether you are querying single entities for due diligence or running bulk historical pulls across an entire sector, the same endpoints serve both needs without configuration overhead.
  • RESTful endpoints with full OpenAPI documentation and code samples
  • Query by entity name, filing type, date range, fund type, or investor class
  • Relationship graph traversal for LP/GP and ownership chain queries
  • Batch export for large-scale historical research across entity sets
  • Real-time endpoints for deal monitoring and portfolio surveillance
  • Audit-friendly source lineage on every record returned
  • Pre-tagged sector, stage, geography, and entity type metadata
what-we-deliver

What We Deliver

DataDock ingests and normalizes data from a range of publicly filed disclosures related to private capital activity. This includes private placements, fund formation documents, ownership declarations, and institutional holdings—all structured for seamless API consumption.

How It Works

how-it-works

1. Structured Parsing of Investment Disclosures

We extract and normalize data from filings related to private placements, beneficial ownership, and institutional holdings. This includes offering amounts, fund types, investor classes, and exemptions used.

2. LP/GP Relationship Mapping

DataDock’s engine detects limited and general partner relationships across filings, helping you uncover fund structures, capital flows, and cross-ownership networks at scale.
lp-maping
fund-profiling

3. Fund & Investor Profiling

We generate enriched profiles of active funds, repeat investors, and sector preferences—complete with jurisdictional data, historical deal activity, and declared strategies.

4. Capital Flow Visibility

Track how capital moves between entities, regions, and asset classes using structured metadata and inferred investment signals from multiple sources.

5. Flexible Query & Integration Options

APIs support queries by entity name, form type, filing date, geography, fund type, or investor class—perfect for building filters into your own analytics tools or decision engines.

Built for Integrators

DataDock’s Private Markets APIs are developer-first and use case-agnostic:
  • RESTful endpoints with JSON output
  • Batch or real-time access modes
  • Pagination and historical range queries
  • Pre-tagged metadata (sector, stage, country, entity type)
  • Audit-friendly source lineage for compliance
built-for-integrators

Ideal Use Cases

  • Power fund discovery or due diligence workflows in VC platforms
  • Enrich CRM or deal pipelines with real-time investor activity
  • Track capital movement across emerging sectors or asset classes
  • Build private markets analytics dashboards for LPs, analysts, or family offices
  • Integrate beneficial ownership data into KYC or governance tools

Transparent and Ethically Sourced

  • All data is collected from publicly available, government-hosted sources
  • We avoid paywalled, scraped, or proprietary datasets
  • Compliant with global data usage and privacy standards
  • Founding member of the Ethical Web Data Collection Initiative
transparent-sourced
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Explore Private Markets API Docs

Ready to put private markets filing data to work?

Talk to the DataDock team about integrating structured private capital intelligence into your research or platform workflows.

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View API Documentation

Enterprise: Enterprise & Institutions

For large organizations and institutions with specialized requirements, this plan offers customizable solutions. Contact us for options like multiple API keys, priority support, redistribution rights, or unlimited data access. Example use cases include:
  • Stock exchanges meeting compliance and reporting obligations
  • Brokerage firms providing live SEC filings access to clients
  • Data providers redistributing datasets via APIs, downloads, or other channels
  • Platforms or applications delivering licensed data to end-users through paywalls or controlled access

Scale: Business / Internal Use

Built for organizations leveraging the platform for internal operations, this tier supports data-driven teams and professionals. Common applications include:
  • Investment advisors, equity research teams, and family offices analyzing market filings
  • Hedge funds tracking registration statements and disclosures in real time
  • Law firms reviewing administrative and legal records
  • Financial analysts at banks conducting detailed research
  • Talent acquisition teams evaluating employment contracts and compensation packages

Growth: Personal & Startups

Designed for innovators, individual developers, and university researchers, this plan supports small-scale projects and early-stage experimentation. Typical scenarios include:
  • Professors providing their students with full API access for coursework in financial engineering
  • Graduate students and researchers producing papers for journals or academic conferences
  • Solo founders or small teams building early prototypes and minimum viable products

Explorer:

For testing purposes.