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Total funding $56M📍 San Francisco · Silicon ValleyFounded 2025

About

Fragment (Fragment Data Technologies, Inc.) is a San Francisco-based enterprise AI company founded in 2025 that uses AI agents and its Autonomous Context Engine to resolve procurement and payment exceptions—PO changes, invoice disputes, three-way-match issues—for large physical-goods manufacturers such as Graybar, CNX and Flex.

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CompanyInvestorFounders / teamCo-investment (thicker arc = more shared deals, ×N marks the count)Bigger circle = stronger signal (activity / coverage / interest) · ⛶ fullscreen · scroll / pinch to zoom · hover to highlight · drag nodes · click a node to open its profile

Funding history

Comparable companies· by market

This company

  • Fragment

    Fragment (Fragment Data Technologies, Inc.) is a San Francisco-based enterprise AI company founded in 2025 that uses AI agents and its Autonomous Context Engine to resolve procurement and payment exceptions—PO changes, invoice disputes, three-way-match issues—for large physical-goods manufacturers such as Graybar, CNX and Flex.

    Series A · $56M · 2026-10

Confirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.

Investors that may fit

Y Combinator

42 Enterprise Software deals in the last 24 months · 35 at a nearby stage · 33 in Silicon Valley

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Andreessen Horowitz

22 Enterprise Software deals in the last 24 months · 15 at a nearby stage · 16 in Silicon Valley

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Khosla Ventures

19 Enterprise Software deals in the last 24 months · 16 at a nearby stage · 17 in Silicon Valley

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Lightspeed

18 Enterprise Software deals in the last 24 months · 17 at a nearby stage · 13 in Silicon Valley

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Sequoia Capital

17 Enterprise Software deals in the last 24 months · 11 at a nearby stage · 13 in Silicon Valley

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Accel

16 Enterprise Software deals in the last 24 months · 10 at a nearby stage · 9 in Silicon Valley

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Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.

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