Modern

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Summary

Modern sells DataOS, an enterprise data operating system for organizations that need governed, AI-ready data products.

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.

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.

Key facts

HQ location
San Jose, CA, USA
Full HQ address
3590 N First St Suite 320, San Jose, CA 95134, USA
Founded
—
Employee range
51-200 (LinkedIn-sized company profile suggests a mid-sized team; exact current employee count was not publicly confirmed during this run.)
Funding stage
—
Company type
Private
Pricing model
Custom Quote (Two pricing models are described on the site: pay as you go with no upfront fees, and an enterprise yearly subscription with no limits on usage and functionality.)
Last updated
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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.
Key competitors
Informatica, Collibra, Alation, Databricks, dbt Labs
Known customers
Lenovo

Classification (raw research text)

Core focus
Enterprise data activation and governance for AI-ready data products
Core category
Enterprise data platform

Shown verbatim from the research spreadsheet — deriving structured industry tags from this text is a future phase.

Segments, Industries & Certifications

Segments

Knowledge & RAG, Document AI, AI Governance & Risk, Analytics & BI

Industries

General Purpose