MS2

About MS2

MS2 offers a data platform that provides a semantically rich and consistent representation of data, making it AI-ready. The platform enables developers to build AI-powered data applications with flexible, scalable, and trusted data access.

```xml <problem> Organizations struggle to derive value from their data due to inconsistent data representation, siloed data warehouses, and a lack of semantic understanding, hindering the development of effective AI-powered applications. Traditional data tools often lock users into specific ecosystems, further fragmenting the landscape and making reliable analysis difficult. </problem> <solution> MS2 provides a data platform that transforms messy, one-of-a-kind data into AI-ready semantic models, enabling developers to build AI-powered data applications with flexible, scalable, and trusted data access. The platform offers a consistent, high-level representation of data, serving as a foundation for building, sharing, and understanding data products with ease. By using AI to build semantic models and providing enterprise-grade data APIs, MS2 empowers users to transform embedded analytics into ergonomic AI data experiences. The platform aims to accelerate data intelligence by providing clear, governed meaning to data, which is key to trustworthy insights and reliable AI applications. </solution> <features> - AI-powered data modeling copilot to build semantic models. - Enterprise-grade data APIs for managing access with scale, security, and performance. - Embedded data experiences to transform analytics into AI-driven interfaces. - Open semantic layer using Malloy to consistently define business logic and metrics. - Standard packaging and serving interface with REST and MCP APIs. - Developer-focused workflows embracing Git, CI/CD, and packaging for managing semantic models. </features> <target_audience> MS2 targets data engineers, data scientists, and AI developers who need a scalable and consistent data foundation for building AI-powered applications and deriving actionable insights from complex datasets. </target_audience> ```

What does MS2 do?

MS2 offers a data platform that provides a semantically rich and consistent representation of data, making it AI-ready. The platform enables developers to build AI-powered data applications with flexible, scalable, and trusted data access.

When was MS2 founded?

MS2 was founded in 2025.

Founded
2025
Employees
3 employees

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MS2

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Executive Summary

MS2 offers a data platform that provides a semantically rich and consistent representation of data, making it AI-ready. The platform enables developers to build AI-powered data applications with flexible, scalable, and trusted data access.

ms2.co500+
Founded 2025

Funding

No funding information available.

Team (<5)

No team information available.

Company Description

Problem

Organizations struggle to derive value from their data due to inconsistent data representation, siloed data warehouses, and a lack of semantic understanding, hindering the development of effective AI-powered applications. Traditional data tools often lock users into specific ecosystems, further fragmenting the landscape and making reliable analysis difficult.

Solution

MS2 provides a data platform that transforms messy, one-of-a-kind data into AI-ready semantic models, enabling developers to build AI-powered data applications with flexible, scalable, and trusted data access. The platform offers a consistent, high-level representation of data, serving as a foundation for building, sharing, and understanding data products with ease. By using AI to build semantic models and providing enterprise-grade data APIs, MS2 empowers users to transform embedded analytics into ergonomic AI data experiences. The platform aims to accelerate data intelligence by providing clear, governed meaning to data, which is key to trustworthy insights and reliable AI applications.

Features

AI-powered data modeling copilot to build semantic models.

Enterprise-grade data APIs for managing access with scale, security, and performance.

Embedded data experiences to transform analytics into AI-driven interfaces.

Open semantic layer using Malloy to consistently define business logic and metrics.

Standard packaging and serving interface with REST and MCP APIs.

Developer-focused workflows embracing Git, CI/CD, and packaging for managing semantic models.

Target Audience

MS2 targets data engineers, data scientists, and AI developers who need a scalable and consistent data foundation for building AI-powered applications and deriving actionable insights from complex datasets.

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