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Manta

165 Broadway, One Liberty Plaza, Floor 23, New York, NY, 10006, United States

Overview

Manta builds a data lineage platform that automatically scans data sources and maps data flows, using AI to trace sources and show lineage across databases, reporting tools and modeling software. The product includes features such as time‑slicing to view historical data states, impact analysis for planned changes, monitoring for discrepancies and connectors/API to surface analyses in native dashboards or third‑party governance tools. Manta emphasizes that it maps customers’ data‑processing environments without coming into contact with the data itself. The company reports about 100 customers, including very large enterprises from the Fortune 100 and Fortune 500. Founded in 2016 by Tomas Kratky, Manta competes with players like Collibra, Informatica, Monte Carlo and Databand. It has offices in New York, Prague, Lisbon and Dublin and recently established a headquarters in Tampa Bay. With the new funding, Manta plans to expand its headcount from 152 to 220 by the end of the year. MANTA provides an automated, API-first data lineage platform that connects to enterprise technology sources, downloads programming code, and analyzes it to generate detailed maps of data flows and dependencies. The platform is positioned to augment data management by turning metadata from passive information into an active driver, improving visibility into data journeys and contextualizing assets for end users. MANTA says its automation accelerates development, speeds modernization, and boosts governance, data quality, and data privacy efforts. The company claims productivity gains for data teams of 30–40% and that impact and root-cause analyses are performed up to 95% faster and more accurately. Its visual, self-service lineage presentation is intended to simplify system migrations and reduce time and resource costs associated with data management. The product messaging emphasizes enabling organizations to understand, control, and programmatically manage their data environments.

Total raised
$48M
Funding rounds
2
Latest round
Series B
Latest activity
May 2022

Industries

  • Business Intelligence
  • Data Visualization
  • Information Technology
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Recent funding

  1. Series B

    May 2022

    $35M

  2. Series A

    Oct 2020

    $13M

Team