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Chronicles

The story behind the story

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Manta, which develops data lineage automation software, raises $13M Series A1 led by Bessemer Venture Partners, bringing its total raised to $17M+

Kyle Wiggers / VentureBeat :

VentureBeat Kyle Wiggers

Context & Ripple Effects

Bessemer Venture Partners is putting early-stage capital behind data infrastructure tooling again: after leading Pinpoint's $13.5M Series A for software-engineering analytics in early 2019, the firm now leads Manta's $13M Series A1 in data lineage automation, taking Manta past $17M raised.

The bet has since paid off down the stack — Manta went on to raise a $35M Series B led by Forestay Capital in May 2022 to expand its lineage platform, while adjacent player Acceldata pulled in a $35M Series B of its own for AI-based data observability, confirming investor appetite for tools that make enterprise data flows visible.

First-order effects

  • Manta gains an extended runway and a top-tier lead investor to scale its lineage automation product, moving from seed-stage validation toward a commercial push against manual data-mapping practices at enterprise customers.
  • Bessemer adds another data-tooling position alongside Pinpoint, deepening its thesis that automated visibility into data systems is a fundable category.

Second-order effects

  • Rivals in neighboring categories feel the validation: Acceldata's later $35M Series B for data observability shows investors funding overlapping approaches to pipeline quality and transparency, forcing each vendor to differentiate lineage versus monitoring.
  • Follow-on capital becomes easier for Manta — the Series B trajectory shows this round positioned it for a larger raise rather than an exit or pivot.

Third-order effects

  • If the pattern holds, data governance shifts from compliance-driven documentation projects to continuously automated lineage tooling embedded in the data stack, with vendors competing to become the system of record for how information moves through an enterprise.
  • Venture funding concentrates around a distinct 'data trust' layer — lineage, observability, quality — that could consolidate as platforms bundle these capabilities rather than leaving them to point solutions.

The trend: Enterprise data tooling is attracting escalating venture rounds as companies automate visibility into how data flows through increasingly complex pipelines.