| Description |
| Summary |
Modern sells DataOS, an enterprise data operating system for organizations that need governed, AI-ready data products.
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| Description |
Modern provides DataOS, a data activation layer that sits on top of existing enterprise data infrastructure. The platform is used to build governed, reusable data products for analytics, applications, and AI without replacing current warehouses, lakes, or tools. The company appears to sell product software rather than consulting-led services, with demos and a free trial mentioned on its website.
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| Positioning |
Modern positions DataOS as an enterprise data operating system and data activation layer that adds context, governance, and semantics to existing data stacks. Its differentiation emphasis is on reusable data products, faster activation, and AI readiness without rip-and-replace migration.
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| Key facts |
| HQ location |
San Jose, CA, USA
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| Employee range |
51-200
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| Company type |
Private
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| Pricing model |
custom quote
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| Relationships |
| Target customers |
Enterprise organizations and data teams that need governed, reusable data products for analytics and AI, especially across functions such as finance, operations, supply chain, and marketing.
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| Key competitors |
Informatica, Collibra, Alation, Databricks, dbt Labs
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| Known customers |
Lenovo
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| Segments & Industries |
| Segments |
Knowledge & RAG, Document AI, AI Governance & Risk, Analytics & BI
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| Industries |
General Purpose
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