About us

Enterprise Reasoning

An open standard for reasoning.

Enterprise Reasoning is a LangGrant-originated initiative proposing a vendor-neutral format for reasoning. It aims to help experts, applications, and AI examine and refine reasoning, share it across systems, and reuse it as a foundation for future work.

A white paper is planned for October 2026. Visit the initiative’s website to register for the paper and explore contributing to the standard.

Explore Enterprise Reasoning

Leadership

Ramesh Parameswaran

CEO, CTO, and Cofounder

Veteran of Microsoft leading its UNIX initiatives and serial entrepreneur. Founder of a Top 100 website in Web 1.0.

Paul Stanton

VP of Product Management and Cofounder

Veteran of Microsoft and recognized expert in PaaS, open source, Test Data Management, and DevOps.

Industry Recognition

We’ve also received recognition from the industry at-large. Gartner has recognized us consistently.

Early in our history, we received a “Cool Vendor” award. More recently, Gartner recognized us for our innovation in Synthetic data. 

Windocks included as key vendor in Gartner report 

Windocks was included in Gartner’s recent report “Emerging Tech Impact Radar: Data and Analytics.” The renowned consulting firm named Windocks as a key vendor in tabular and synthetic data.

Bloor analyst report on test data management

Bloor described Windocks as “an up-and-coming database virtualisation vendor that it looks like might be poised to shake up the space.”

News highlights

Recent breakthroughs in advanced reasoning LLMs now offer the potential to fundamentally reshape the relationship between AI, data engineering, and analytics. 

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LangGrant applies LLMs and AI assistants to operational data. Clients face restrictions on data movement and concerns over cost. 

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The server eliminates the need to rely on application developers and data engineers. They would have to manually join data sets before AI agents can invoke a data set.

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The server automates delivery of database context. It does not reveal any enterprise data. It enables the LLM to design analytic pipelines while complying with enterprise security and governance.

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LangGrant orchestrates LLMs to deliver results while complying with enterprise data policies. Analytics and reasoning occur using metadata and schema context. No raw data or large payloads are transmitted to the LLM. 

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“…there’s no doubt there will be a corresponding rise of interest in database virtualization technologies that promise to make it simpler to build those types of applications.”

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“. . . provided users with the features they were waiting for from Microsoft. This includes the ability to support .NET and SQL Servers in containers while running Windows Server.”

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“And one of the key differences between the Windocks containers and Microsoft’s official container support for Windows turns out to be quite surprising. It involves compatibility with existing applications and processes.”

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“LEDGE MCP Server does not expose data to LLMs. It removes token costs as a barrier to Agentic AI. It delivers accurate, executable multi-step analytics plans.”

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“LangGrant has announced its LEDGE MCP server. It enables LLMs to reason across multiple enterprise databases. It generates multi-step analytics plans without transmitting raw data to the model. The system works entirely with metadata and schema context.”

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Novartis

World’s second largest pharmaceutical company by market cap. Shares R&D data across multiple research centers worldwide.

DriveTime

Innovative company utilizing proprietary tools and processes to redefine the process of purchasing, financing, and protecting vehicles. 

American Family Insurance

Third-largest mutual property/casualty insurance company in the U.S. Automates the delivery of applications in its direct-to-consumer business.

DoubleLine

Money management firm employing active risk management and in-depth research. Also uses innovative product solutions. Analytical systems are developed and maintained in-house.