The Modern Data Company

What The Modern Data Company does

The Modern Data Company is a Palo Alto-headquartered enterprise software company founded in 2021 that builds DataOS, an enterprise-grade data operating system designed to activate data across the organization without requiring migration or rip-and-replace. DataOS layers over existing data infrastructure—including Snowflake, Databricks, and BigQuery—adding governance, semantic context, quality controls, and versioning on top of customers' existing data investments. The platform's atomic unit is the "data product," a self-contained, versioned package that bundles data with transformation logic, semantic models, quality contracts, access policies, governance, and consumption APIs, enabling reuse across analytics, enterprise applications, and AI workloads. Supporting capabilities include the Data Product Hub (an internal marketplace for data products), the AI Readiness Scorecard assessment tool, and a portfolio of use-case solutions spanning connected commerce, claims resolution, data trust management, IT/OT convergence, M&A deal intelligence, revenue realization, sales channel intelligence, and sensitive data governance.

The company monetizes through an enterprise subscription model with quote-based annual contracts, sold via direct field sales to Fortune 500 customers and through channel partners. Go-to-market combines a direct enterprise motion targeting Fortune 500 and global enterprises with a Carahsoft-led U.S. public sector channel (covering SEWP V, ITES-SW2, NASPO ValuePoint, TIPS, and OMNIA Partners), strategic implementation partnerships (Acies Global, CoffeeBeans, Thoughtworks), and a joint go-to-market with Bajaj Tech.AI for the BFSI vertical in the U.S. and India. Named customers include Lobos 1707 Tequila, Leidos (federal/defense), and Bajaj Finserv; the company claims trust from Fortune 500 enterprises. Headcount is 101-250, with U.S. headquarters in San Jose and engineering/R&D offices in Indore, Hyderabad, and Bangalore, India. The company is privately held and has not disclosed funding rounds in the available source material.

Name

The Modern Data Company

Legal name

The Modern Data Company Inc.

Website

https://themoderndatacompany.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

101–250 employees

Short description

The Modern Data Company (founded 2021) builds DataOS, an enterprise data operating system that layers over existing warehouses to deliver AI-ready, governance-embedded data products for Fortune 500 enterprises, U.S. government agencies (via Carahsoft), and BFSI customers (via Bajaj Tech.AI).

Ownership category

akta.pro rank

Product category

Enterprise Data Management Software

NAICS

Software Publishers (5132)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Data Platform (Unified Data & Analytics) Suites (HDAEABAD)

akta.pro secondary industries

Data Governance Platforms (Policies, Stewardship, Workflows) (HDAEADAB), Data Sharing, Data Exchange & Data Marketplace Platforms (HDAEABAH), Data Lineage & Impact Analysis (HDAEADAF)

Keywords

• Enterprise data platform
• Data operating system
• AI-ready data products
• Data governance software
• Data activation platform

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices4 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Operations, Others

Revenue model

1. DataOS Platform Subscription: Enterprise software platform subscription for data activation and management. Pricing likely based on data volume, users, or tiered plans. Quote-based sales for enterprise deals.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

DataOS is the enterprise-grade data operating system sold by The Modern Data Company; it layers over existing data infrastructure such as Snowflake, Databricks, and BigQuery without requiring migration, and converts raw enterprise data into governed, versioned, AI-ready "data products" that bundle transformation logic, semantic models, quality contracts, access policies, and consumption APIs for reuse across analytics, AI, and enterprise applications. The platform is sold as an annual subscription to Fortune 500 enterprises and government agencies, with quote-based pricing and deployment support through direct field sales, Carahsoft for public sector, and implementation partners.

Product overview

The Modern Data Company's product portfolio centers on DataOS, an enterprise-grade data operating system that serves as the foundational platform for AI-era data activation. DataOS layers over existing data infrastructure (Snowflake, Databricks, BigQuery) without requiring migration, adding governance, semantic context, quality controls, and versioning. The core unit is the Data Product—reusable, versioned, self-contained data assets that bundle data with transformation logic, semantic models, policies, and consumption APIs. Supporting this core are the Data Product Hub (the first business-ready marketplace for data products), Public Sector solutions (government-specific deployments via procurement contracts), and the AI Readiness Scorecard (assessment tool). The company also offers nine use-case-specific solutions (Connected Commerce, Claims & Case Resolution, Data Trust Management, IT OT Convergence, M&A Deal Intelligence, Revenue Realization, Sales Channel Intelligence, and Sensitive Data Governance) that address specific business problems using the DataOS platform and data products. The architecture enables 90% faster data activation (4-6 weeks vs. 30-32 weeks) and up to 50% lower data costs.

Differentiator

Problem solved

Functional benefit

Brands

• DataOS: The company's flagship data operating system platform that serves as the data activation layer for the AI era, enabling enterprises to unify, govern, and operationalize siloed data without requiring migration to new infrastructure.

Products and services

• DataOS DataOS is the company's flagship enterprise-grade data operating system that activates data across an organization without requiring migration or rip-and-replace. It layers over existing data infrastructure (Snowflake, Databricks, BigQuery) to add governance, semantic context, quality controls, and versioning, turning raw data into AI-ready data products for analytics, AI, and enterprise applications.
• Data Product Hub The Data Product Hub is the industry's first business-ready marketplace for discovering, accessing, and using data products within an enterprise. It improves data consumption, accelerates decision-making, and supports use cases across AI, analytics, and enterprise applications, and was recognized as the 2025 Data Breakthrough Awards Data Solution of the Year – Marketing.
• DataOS for Public Sector A packaged deployment of DataOS tailored for U.S. federal, state, and local government agencies and education institutions. It unifies fragmented data across cloud and on-premise systems for AI and analytics while supporting Zero Trust data security strategies and government compliance requirements.
• AI Readiness Scorecard A self-service 8-question assessment tool that evaluates an organization's data stack readiness for AI across four dimensions — Trust (built-in governance), Context (semantic consistency), Productized (reusable data assets), and Actionable (data at the speed of AI) — and delivers a personalized report with recommendations.
• Connected Commerce Solution A packaged DataOS solution for retail and commerce organizations that provides one data foundation across functions, enabling end-to-end visibility and real-time response to changing consumer behaviors.
• Claims & Case Resolution Solution A packaged DataOS solution enabling organizations to make every determination audit-ready with trusted, contextualized data products that support compliance and governance requirements in claims and case processing.
• Data Trust Management Solution A packaged DataOS solution to validate data before production, ensuring data quality, lineage, and governance are built in from the start rather than bolted on after the fact.
• IT/OT Convergence Solution A packaged DataOS solution to unify data across IT and operational technology systems and edge environments for organizations with complex hybrid data estates.
• M&A Deal Intelligence Solution A packaged DataOS solution that maps the data behind M&A deals, enabling faster path to data integrations and clarity on Day One during mergers and acquisitions.
• Revenue Realization Solution A packaged DataOS solution that closes the gap between contract and revenue by providing trusted data for accurate forecasting and revenue tracking.
• Sales Channel Intelligence Solution A packaged DataOS solution providing visibility into what is selling, where, and why, enabling data-driven sales decisions across channels.
• Sensitive Data Governance Solution A packaged DataOS solution to continuously detect data risk and automatically enforce policies, enabling organizations to manage sensitive data with zero-trust security principles.

Quantifiable outcome

• 8x faster time-to-value: 4-6 weeks with DataOS vs 30-32 weeks typical approach
• +4 more outcomes

Named customers4 records

Segments5 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration3 records

AI capability5 records

Feature6 records

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Collibra: Collibra is a leading enterprise data governance and catalog platform that competes directly with DataOS in providing governance, lineage, and data product management capabilities for large enterprises. Both platforms target Fortune 500 data leaders and emphasize AI-readiness of governed data.
• Alation: Alation is a data catalog and governance platform with strong enterprise adoption that overlaps with DataOS's data product hub and governance positioning. Both companies position around trusted, discoverable data for analytics and AI use cases.
• Monte Carlo: Monte Carlo is a data observability and reliability platform that competes with the data quality, lineage, and trust aspects of DataOS. Both target the same enterprise buyer persona and pitch AI-ready, trustworthy data as the core value proposition.
• Atlan: Atlan is a modern data catalog and workspace platform that competes with the Data Product Hub and governance features of DataOS, particularly in mid-market and emerging enterprise segments. Both emphasize collaboration between business and technical data teams.

Broad incumbents

• Informatica: Informatica is an established incumbent in data integration, governance, and master data management that overlaps with DataOS's data product, governance, and metadata capabilities as part of a broader suite. It represents a large installed base that DataOS must displace or coexist with.
• Databricks (Unity Catalog): Databricks' Unity Catalog and data intelligence platform is a broad incumbent that already includes governance, lineage, and marketplace features that compete with DataOS. As a platform incumbent with native data products, it represents both a partner and a threat.
• Snowflake (Horizon Catalog): Snowflake's Horizon Catalog and native governance features are bundled with the underlying data platform that DataOS layers over, creating a risk of feature absorption. Snowflake's installed base is a primary distribution channel for DataOS.

Emerging players

• dbt Labs: dbt Labs provides data transformation tooling and a growing semantic layer, overlapping with DataOS's transformation, semantic, and governance claims. dbt's strong developer community and Snowflake/Databricks alignment make it a partial substitute for the DataOS workflow.
• Starburst: Starburst provides a federated query and data lakehouse platform built on Trino, overlapping with the data access and activation layer that DataOS sits over. It competes for enterprise budget allocated to data infrastructure modernization.
• ThoughtSpot: ThoughtSpot provides AI-driven analytics on top of enterprise data warehouses, overlapping with the AI-ready, activation-focused positioning of DataOS. It represents a downstream consumer of data products that could compete for analytics budget.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/themoderndatacompany
• Instagraminstagram.com/modern.dataos

Revenue estimate

Valuation estimate

Number of profiles

Profiles14 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about The Modern Data Company