Asset Manager

Updated:

Data Community Fund

Data Community Fund is a venture-stage investor targeting early companies in the data stack — databases, data pipelines, governance, and analytics layers.

Data Community Fund

Data Community Fund is a venture-stage investor targeting early companies in the data stack — databases, data pipelines, governance, and analytics layers. The firm maintains a multi-city posture with offices in Seattle, Menlo Park, New York, Oakland, Scottsdale, Palo Alto, and San Francisco, suggesting a distributed sourcing model that taps into engineering hubs. Its investment focus spans infrastructure software and AI/ML applications, both of which have seen consistent capital flows from enterprise buyers. The firm primarily writes early-stage checks, with a concentration on seed and Series A rounds. Portfolio companies have included names in the data platform and analytics spaces, though specific holdings are not publicly enumerated. The firm's geographic footprint gives it access to deal flow on both coasts, and its stated focus on data infrastructure indicates a preference for capital-efficient businesses with recurring revenue models. No team size, AUM, or deployment figures are publicly available. The firm has not disclosed a founding year or named principals in public channels. Its network of offices implies a lean, distributed operational structure rather than a single centralized headquarters. What sets Data Community Fund apart is its explicit thematic concentrate on the data layer of the technology stack — a domaine that benefits from secular trends in AI adoption and enterprise data governance. The firm's multi-office structure may also allow it to source deals across distinct ecosystems, but without public disclosure of track record or capital base, its competitive position relative to larger data-focused firms remains opaque.

General information

Firm type

Asset Manager

Year founded

AUM

Undisclosed

Location

Region

North America

Country

United States

City

Seattle

Corporate office

Seattle, WA, United States

Additional offices

Menlo Park · New York · Oakland · Scottsdale · Palo Alto · San Francisco

Sector focus

Enterprise SoftwareData & AnalyticsAI/ML

Frequently asked questions

What investment stages does Data Community Fund typically target?

Public information suggests Data Community Fund participates in early-stage rounds, including seed and Series A. Its stated focus on data infrastructure companies aligns with the stage where these businesses typically raise initial venture capital to build product and acquire early customers.

Who leads investment decisions at Data Community Fund?

The firm has not publicly named any partners, managing directors, or investment committee members. Without disclosed principals, it's unclear whether decisions are made by a single general partner, a small team, or an external advisor network.

How does Data Community Fund source deal flow?

With offices in Seattle, Menlo Park, New York, Oakland, Scottsdale, Palo Alto, and San Francisco, the firm likely leverages a distributed network to source deals from engineering and data science communities. Its name suggests a community-driven approach, potentially tapping into data professional networks for proprietary referrals.

Which sectors does Data Community Fund avoid?

The firm's visible focus is narrowly on data infrastructure and analytics companies. It does not appear to invest in hardtech, biotech, consumer internet, or direct-to-consumer brands — areas that fall outside its stated data-layer thesis.

Is Data Community Fund a single family office or a traditional venture firm?

The firm is categorized as an asset manager but does not disclose whether it manages capital for a single family, multiple families, or institutional limited partners. Its multi-city office footprint is more common among venture firms than single family offices, but this is speculative absent public filings.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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