Intelligence
A Relationship Graph of 2.5M+ People
Pensions. Endowments. Foundations. Family offices. Fund of funds. OCIOs. Sovereign wealth funds. Every contact classified below the organization level, sourced from primary regulatory filings and institutional disclosures. Not recycled from a commercial vendor. Not scraped from LinkedIn. Built from the ground up, continuously updated, and integrated into the fundraising workflow that turns contacts into committed capital.
Profiled in the Public Directory
A named-firm subset of the full 2.5M+ person relationship graph, browsable in the public investor directory. The platform's contact-level intelligence goes deeper than what is published publicly.
Primary Sources, Not Recycled Data
The investor universe is built from regulatory filings, public allocator disclosures, and institutional records. Not aggregated from the same vendors everyone else uses.
Commercial investor databases have a sourcing problem. They aggregate from third-party vendors, press releases, conference attendee lists, and web scraping. Every subscriber sees the same records. When the data was fresh (six, twelve, eighteen months ago), it was useful. By the time it reaches you, half the contacts have changed roles, mandates have shifted, and the allocation priorities you're targeting no longer apply.
The platform builds from primary sources directly. Regulatory filings that disclose investment allocations and mandate changes. Public pension board minutes that reveal allocation approvals weeks before they hit any commercial database. Foundation 990s that show endowment investment activity. SEC filings that capture beneficial ownership changes, fund registrations, and advisor transitions. Institutional websites that publish team changes, investment criteria, and allocation reports.
Continuous monitoring, not quarterly batch updates. When a state pension approves a $500M increase to its PE allocation, the platform captures it within days. When an endowment CIO moves to a new institution, the record updates and the mandate context follows. When a family office posts a job for a private credit analyst (signaling a new allocation sleeve), that signal enters the system.
The difference isn't incremental. You're operating from a different starting point than every GP using the same commercial database.
A public slice of this work is browsable in the investor directory.
What Makes This Different from Commercial Databases
Coverage depth at the mandate level, continuous freshness from primary sources, and classification that distinguishes institutional functions within the same organization.
Mandate-Level Data, Not Org-Level
A commercial database gives you "CalPERS" as one record. The platform gives you the PE allocator, the real estate allocator, the infrastructure team, the credit sleeve manager. Each with their own mandate parameters, check size range, and decision authority. Sending a buyout fund pitch to CalPERS's real estate allocator isn't a near miss. It's a burned first impression.
Continuous Updates from Primary Sources
Commercial databases update quarterly at best. The platform monitors primary sources continuously. A pension board approves a new allocation? Captured in days. An endowment CIO changes institutions? The record moves with them. A family office hires a private credit analyst? That signal enters the system as a mandate expansion indicator.
OrgPersona Classification
Amazon Corporate Venture Capital and Amazon Employee Pension Fund are different contacts with different mandates, different check sizes, and different investment criteria. The platform classifies at the institutional function level. Corporate venture arms, pension funds, endowment investment offices, family office direct investment teams, sovereign wealth fund sector desks. Each is a distinct target, not a line item under a corporate parent.
Behavioral Intelligence from 100+ Programs
No database sells this. Years of live market engagement across 100+ fundraising programs have produced proprietary intelligence on which institutions respond, their timing preferences, which strategies engage them, and how they move through a commitment process. That behavioral layer compounds with every new program.
Built for the Fundraising Workflow
Not a research tool you export CSVs from. Outreach, pipeline tracking, and relationship management integrated from the start.
Most investor databases end where the work begins. You get a spreadsheet of names. Now what? You need to figure out which ones match your mandate. Write outreach to each. Find a way to send it under your brand. Track who responded. Follow up. Manage the pipeline. That's five more tools and three more months before you're operational.
The platform treats the investor universe as step one of a six-step sequence, not the finished product. Contacts flow directly into trust path mapping (who in your network connects you to each target), then into outreach drafting (paragraph-level personalization referencing those specific connections), then into campaign execution (under your brand, your domain), and finally into pipeline management (tracking every interaction through commitment).
Send outreach under your brand across a relationship graph of 2.5M+ people. Manage your fundraising pipeline from first contact through signed commitment. Access the investor intelligence and the operational infrastructure in one place. No CSV exports. No manual data entry. No disconnected tools.
WAYS TO ENGAGE
Managed Program
Praxis Rock runs the program under your brand. Your team engages when there is a qualified conversation.
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Operate the platform directly. The same intelligence, trust graph, and outreach infrastructure, in your hands.
Schedule a ConversationFREQUENTLY ASKED
Frequently Asked Questions
An LP database is a collection of institutional investor contacts used by fund managers during capital raises. LP stands for limited partner, the investors who commit capital to private equity, venture capital, real estate, and other alternative investment funds. A useful LP database goes beyond org-level records to include contact-level data: the specific person who manages the PE allocation at a pension fund, their mandate parameters, their recent allocation activity, and their decision-making authority. Most commercial LP databases provide org-level records that are twelve to eighteen months stale. The platform maintains a relationship graph of 2.5M+ people, from which contacts are classified below the organization level, sourced from primary regulatory filings and institutional disclosures.
The relationship graph holds 2.5M+ people across private markets, from which institutional investor contacts are classified across pensions, endowments, foundations, family offices, fund of funds, OCIOs, sovereign wealth funds, and corporate investment arms. The count matters less than the classification depth. Each contact is mapped to a specific institutional function and mandate. The private equity allocator at a state pension is a separate record from the real estate allocator at the same pension, because they have different mandates, different check sizes, and different decision timelines.
Three structural differences. Source: commercial databases aggregate information from third-party vendors, press releases, and web scraping. The platform collects from primary sources, specifically regulatory filings, public allocator disclosures, SEC data, foundation 990s, and pension board records. Classification: commercial databases provide org-level records. The platform classifies below the organization, distinguishing Amazon Corporate Venture Capital from Amazon Employee Pension because they have entirely different mandates and contacts. Freshness: commercial databases update on a quarterly or annual cycle. The platform monitors primary sources continuously and captures changes within days.
The platform isn't a database you export CSVs from. It's a fundraising system where the investor universe is the starting point, not the end product. Contacts work inside the platform itself, flowing directly into outreach, pipeline tracking, and relationship management. Managed clients have Praxis Rock operate that system on their behalf; self-service clients operate it directly. Either way, every contact and data asset transfers to you when a program concludes. You own the data permanently. No tail provisions, no walled garden.
GO DEEPER
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2.5M+ people in the graph. One question: which ones match your mandate?
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