Semarchy
Semarchy is a enterprise data platform for master data, governance, integration and DataOps.
Semarchy operates in the Unclassified segment.
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- Founded
- 2011
- Headquarters
- United States
- Core Segment
- Unclassified
- Company Size
- Unknown
- Official Links
- Website
- Verified
- 2026-03-12
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Subsidiaries
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Competitors
Key competitors include Profisee, Reltio, Reltio.
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Semarchy: About
The company operates an enterprise software model centred on a unified data management platform that combines master data management, data governance, data integration and DataOps tooling. It creates value by providing a central hub for trusted, curated data and by enabling data teams to design, govern and deliver reusable data products across multiple domains and systems, including modern cloud data warehouses. The platform supports hybrid and cloud‑native environments and integrates with major cloud ecosystems, allowing enterprises to standardise data quality, lineage and access across their technology stack. The firm also provides implementation support, training and technical assistance to help customers adopt and expand their use of the platform.
Semarchy: Market Position
Semarchy is a United States–headquartered enterprise data management software company focused on master data management (MDM), data integration, governance and DataOps. Its core offerings include an MDM platform (xDM) and a unified data platform built for DataOps that integrates MDM, data governance, integration and AI‑supported data stewardship, with connectors into major cloud data ecosystems such as Snowflake and Microsoft Fabric.
The company sells subscriptions and licences for its data platform, delivered as fully managed SaaS, private cloud or self‑managed deployments, and distributed in part via cloud marketplaces. Its customers are mid‑market and large enterprises across sectors such as retail, healthcare, financial services, manufacturing and the public sector, purchased primarily by data teams, IT departments and data leaders that need to govern and operationalise trusted, analytics‑ and AI‑ready data.
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