Person-Level Intelligence

Deep intelligence on anyone. In minutes.

Sourced from hundreds of public records. Verified algorithmically. Delivered with full citations.

Inner Circle
Grace Chen Park
Grace Chen Park
Sister-in-law · Goldman Sachs PWM
Found via Form ADV. Not on Margaret's LinkedIn.
David Liu
David Liu
Columbia MBA '01 · MP, Blackstone Real Estate
3 co-appearances across 20 yrs: alumni dir, Asia Society, CBS board
Nina Kapoor
Nina Kapoor
Partner, Sullivan & Cromwell
Dalton PTA co-chairs, 2022-24. Tagged across 4 galas on Instagram.
Richard Hayward
Richard Hayward
CIO, Chen Family Office (unreported)
SEC Form D filing + Lazard timeline cross-reference
Timeline
2003
Co-founded AAWIF at Columbia
2005
Bundled $42K for NYC Council
2014
Chen Family Trust established
2022
First Asia Society Gala co-chair
Co-chaired inaugural gala with David Rubenstein. Recruited 12 committee members from Chen Family Foundation network. Event raised $1.4M, 40% above initial target.
Nonprofit annual reports · Event program records
2024
Gala raised $1.8M (record year)
2025
Daughter's engagement (NYT, Jan)
Entities + Wealth Structure
Chen Family Trust $3.8M
MC Ventures LLC 4 investments
740 Park Ave $8.2M
Columbia Endowment $3.2M
Property records · Venture databases · University annual report
Board & Philanthropy
Columbia Business School Advisory Board
→ Sits with 3 Fortune 500 CFOs
Asia Society Gala Committee (Co-chair)
→ Raised $4.2M across 3 events
Lincoln Center Finance Committee
→ Appointed 2022
Margaret Chen
Margaret Chen
Private Investor · New York, NY
Family Confirmed
Robert Chen
Robert Chen
LZ Managing Director, Lazard
Spouse. SEC filings · FEC address match
Grace Chen Park
Grace Chen Park
GS VP, Goldman Sachs PWM
Sister-in-law. Goldman Sachs Form ADV
James Whitfield
James Whitfield
WL Associate, Wachtell Lipton
Daughter's fiancé. NYT wedding announcement, 2025

Wealth & Entities Confirmed
Chen Family Trust $3.8M
MC Ventures LLC 4 investments
740 Park Ave $8.2M
Columbia Endowment $3.2M lifetime
Property records · Venture databases · University annual report

Interests & Influence High
Co-founded Asian American Women in Finance at Columbia (2003). Bundled $42K for NYC Council campaign. Co-chairs Asia Society Gala since 2022. Raised $4.2M across 3 events.
Government filings · Alumni publications · Nonprofit records

Know your clients better than they know themselves.

01
Financial Profile
Wealth, entities, properties, and family. Exposed from SEC filings, property records, 990s, and more.
02
Family & Relationships
Spouse, children, parents, in-laws, confirmed through multi-source verification. Understand the family ecosystem.
03
Affiliations & Community
Board seats, fellow trustees, community involvement, and philanthropic interests. The full picture beyond the portfolio.
David Holloway
David Holloway
Retired Tech Executive · San Francisco, CA
Financial Overview
Est. Net Worth
$120M - $150M
SEC filings, property records
Primary Residence
Pacific Heights, San Francisco
ACRIS
Active Entities
2 LLCs in CA and DE
CA SOS, DE Division of Corps
Net worth estimated $120M to $150M Direct line to CA Senate via brother-in-law

Affiliations
SF Museum of Modern Art Board member Acquisition committee
Board Member, Acquisition Committee (2019 to present). Personally funded $1.2M acquisition.
SFMOMA board minutes
Stanford GSB Advisory council
Advisory Council (2020 to present). Hosts annual dinner for 30 LPs.
Stanford GSB alumni records
Holloway Family Foundation Co-trustee
Co-trustee with wife Elena. Focus: STEM education, Bay Area public schools.
IRS 990 filings

Family
Elena Holloway
Elena Holloway Spouse
Former McKinsey partner (2001 to 2015, San Francisco office). Co-head coach, Presidio Girls Softball League (2016 to 2024). Active in Junior League SF. George Washington University, '98. Donated $15K to SF Ballet annual fund, 2023 and 2024.
LinkedIn, Junior League SF annual reports, league rosters, SF Ballet donor listings
Tyler Holloway
Tyler Holloway Son
Stanford '24. Product Manager, Stripe (since June 2024). Previously interned at Sequoia Capital, Summer 2023. Co-founded Stanford Blockchain Society. Co-inventor on a Stripe provisional patent filed Q4 2024.
LinkedIn, Stanford student orgs directory, USPTO provisional filings
Maya Holloway
Maya Holloway Daughter
Columbia '26, Pre-law. Editor, Columbia Journal of Politics & Society. Interned at Paul Weiss, Summer 2025. Volunteer, Immigration Justice Corps pro bono clinic, Spring 2025.
Columbia student publications, LinkedIn, IJC volunteer roster
Ryan Holloway
Ryan Holloway Brother-in-law
Chief of Staff to Sen. Alex Padilla (2021 to 2024). Previously Deputy Campaign Manager, Newsom 2018. Registered lobbyist, California FPPC. The Holloway family's only direct political connection.
Senate staff directory, FEC filings, campaign finance records

Personal

Frequent visitor to Scottsdale, AZ and Pebble Beach, CA. Tagged in Flickr albums from Waste Management Phoenix Open (2022, 2023) and AT&T Pebble Beach Pro-Am hospitality events.

Flickr, public event photography

Elena Holloway: Co-head coach, Presidio Girls Softball League (2016 to 2024). Overlaps with Maya and Tyler's playing years. Active parent volunteer at SF University High School.

League rosters, school newsletters

Frequently Asked Questions

Learn more about how Orqa works

Every finding in an Orqa dossier is sourced from publicly available records and commercially available data. We compile intelligence from SEC filings, FEC donation records, property deeds, court records, IRS 990 nonprofit disclosures, corporate registries, published news, conference programs, alumni directories, and hundreds of other source types.

What makes Orqa different is not access to any single data source. It's the ability to synthesize thousands of entities across hundreds of source types, making connections between records that no human researcher has the bandwidth to cross-reference. What would take a skilled analyst dozens, if not hundreds, of hours, Orqa does automatically and at higher consistency than manual research can sustain across a portfolio of relationships.

To do this at scale, we've developed proprietary identity disambiguation technology — resolving whether the "Michael Chen" in a Delaware corporate filing is the same "Michael Chen" in a Stanford commencement program and a youth soccer league roster. Our system cross-validates identities through overlapping biographical signals rather than relying on any single identifier. Every dossier also includes inferred relationship strength between individuals, scored using a proprietary model that accounts for recency, frequency of co-occurrence, and the nature of the connection. The result isn't just a list of facts. It's a map of who someone is, who they know, and how strong those connections actually are — with confidence levels on every finding and relationship strength ratings you can trust at 95%+ accuracy.

Most tools built for relationship-driven professionals answer the question "who is this person?" at a surface level. Job title, company, maybe a capacity estimate or a list of connections.

Orqa answers a fundamentally different question: how is this person connected to me, my organization, and my network in ways nobody has surfaced yet?

A typical dossier synthesizes thousands of entities across hundreds of source types, finding connections that exist in public records but that no human researcher would think to cross-reference — a 15-year-old wedding announcement and a current board listing, a youth sports schedule and a Form ADV filing, an oral history archive and a Delaware corporate registration.

The output isn't a faster version of what a research analyst does. It's a fundamentally different kind of research.

Accuracy is the foundation of everything we do. If you walk into a meeting citing a connection that turns out to be wrong, it's worse than walking in with nothing. We've built our entire methodology around this principle.

Orqa operates on a proprietary multi-layered verification framework:

Identity Disambiguation. Before any analysis begins, our system resolves whether two references across different sources refer to the same individual. This is done through overlapping biographical signals — not simple name matching — and is the reason our entity resolution operates at 95%+ accuracy even across common names and sparse records.

Confidence Classification. Every claim in a dossier is tagged with one of three confidence tiers: confirmed (directly stated in a primary source), corroborated (supported by multiple independent sources), or inferred (a plausible connection that requires further validation). We'd rather flag uncertainty than present a guess as fact. If a finding can't be sourced, it doesn't appear.

Relationship Strength Scoring. Connections between individuals aren't just listed — they're scored. Our proprietary model evaluates relationship strength based on recency, frequency of co-occurrence across sources, the nature of the connection (professional, philanthropic, familial, community), and relationship decay over time. A board co-membership from 2024 is weighted differently than one from 2009.

Bi-Directional Relationship Modeling. Relationships are not one-sided. Our system models connections in both directions, recognizing that the strength and relevance of a relationship may differ depending on which side you're approaching from. This matters when you're mapping warm introduction paths through intermediaries.

Every finding links back to its source. Every relationship carries a strength rating. Every inference is marked as such. The goal is to give you intelligence you can act on with confidence.

Almost certainly, yes. If your work depends on relationships with high-value individuals — whether that's sales, fundraising, wealth management, executive recruiting, partnerships, dealmaking, or something else entirely — Orqa's person-level intelligence applies.

We've worked with sales teams, development offices, advisory firms, and executive search professionals, and the underlying problem is always the same: you need the full picture of the person before you walk into the room.

We're also able to go deeper than individual dossiers. For sales teams, we build comprehensive intelligence briefs across multiple stakeholders at a target account — career histories, affiliations, signals of openness to change, and conversation hooks for each person. For development offices, we can build exhaustive donor ecosystem analyses around a single major prospect, including family philanthropy, giving trajectory, and cause alignment. The format adapts to your workflow.

Request a demo and our team will walk you through exactly how Orqa maps to your specific needs.

Absolutely. We offer a premium white-glove onboarding experience designed to prove the value before you commit.

We'll run a dossier on someone you already know well — a current client, a longtime donor, a key account — so you can judge the quality against your own knowledge. Most people who see their first dossier immediately spot something they didn't know, even about someone they've worked with for years.

Heck, we'll even run one on you. There's nothing quite like seeing your own dossier to understand the level of depth we operate at. It puts into perspective exactly what your counterparts, prospects, and donors would experience if someone ran one on them.

That's usually the moment it clicks. From there, our team works directly with you to tailor the experience to your workflow, your portfolio, and your priorities.

Orqa compiles only publicly available information and commercially available data. We are not a consumer reporting agency under the FCRA, and our dossiers are not consumer reports. We do not access private accounts, scrape behind privacy settings, or use deceptive methods.

Every finding is something that exists in a public record that anyone could find with enough time and the right expertise. The difference is that assembling it manually would take hours per person. We organize what's already out there in a way that's actually useful.

We also respect every individual's right to control their personal information. Our website includes a "Do Not Sell My Personal Information" form, and any individual can request to opt out of our data compilation at any time. We take these requests seriously and process them promptly.

Our full privacy policy and terms of service are available on our site, and we're happy to walk enterprise buyers through our data practices in detail.

We take the security of your requests and data seriously. All data is encrypted both in transit and at rest, whether stored on-premises or in our cloud infrastructure. Your request details — including target names, context about your deals, donor strategies, or account plans — are treated as strictly confidential.

Access is limited to authorized personnel on a need-to-know basis. We maintain clear data segregation between clients, ensuring that one client's request history and dossier outputs are never accessible to another. We are actively working toward formal security certifications and are happy to discuss our security architecture and data handling practices in detail with enterprise buyers during the evaluation process.

Ready to see it in action?

Try it →