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 ReasoningJobs
Help us put data analysis in everyone’s hands. We’re hiring for two go-to-market roles to bring LangGrant’s enterprise memory and reasoning platform to more organizations.
Founding Account Executive
Enterprise AI
Help enterprises put database analysis in everyone’s hands with shared memory, reusable reasoning, and organizational control.
What you’ll do
- Own the sales process from prospecting through close.
- Lead discovery and product demonstrations, and build relationships with data and AI leaders.
- Turn customer feedback into sharper positioning and build a repeatable sales process.
What you’ll bring
- Experience selling enterprise data platforms, analytics, or developer tools.
- Confidence explaining technical products and connecting them to customer needs.
- The ability to build a sales process in an early-stage company.
To apply, send your resume or LinkedIn profile and a short introduction to pauls@langgrant.com.
Founding GTM Engineer
AI Solutions
Help prospective customers turn their database analysis needs into working LangGrant demonstrations and pilots.
What you’ll do
- Build demos using Claude, Codex, and enterprise databases.
- Guide technical evaluations and create reusable examples and integration guides.
- Work with sales and engineering to move successful pilots toward adoption.
What you’ll bring
- Strong SQL skills and practical experience with AI agents and database integrations.
- Clear communication and the ability to explain technical concepts to customers.
- Experience in solutions engineering, developer relations, or a similar customer-facing technical role.
To apply, send your resume or LinkedIn profile and a short introduction to pauls@langgrant.com.
Leadership
Ramesh Parameswaran
CEO, CTO, and Cofounder
Ramesh Parameswaran is founder and CEO of LangGrant, an enterprise memory platform for AI that delivers executable, reusable decision intelligence from databases, human expertise, and discovered semantics. Ramesh began his career at Microsoft where he was one of the first few product managers for Windows. He became Microsoft's youngest general manager at the time leading the engineering organization for Internet Explorer for Unix and interoperability and standards initiatives like Distributed COM across operating systems with the Open Group, the Windows Unix subsystem for the certification of Windows as an open Unix system, and Windows virtual private network (VPN).
He went on to found AskMe, a top-100 website whose technology was deployed at Global 2000 enterprises like Procter & Gamble, Novartis, and Pratt & Whitney. He also founded Windocks, which built the world’s first Docker SQL Server containers on Windows, deployed at enterprises like Novartis, American Family Insurance, and Migros. He leads the Enterprise Reasoning open standard initiative, defining a vendor-neutral format for collaborative reasoning between humans and AI. A coastal sailing skipper and former ski patroller, he also serves on the board of The Sailing Foundation.
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.
Gartner analysis
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.
UP CLOSE
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.”
Press
News highlights
MarTech Series
LangGrant Brings Enterprise-Class Database Analytics to Claude Dashboards
EIN Presswire
LangGrant Brings Enterprise-Class Database Analytics to Claude Dashboards
Akron Beacon Journal
LangGrant Brings Enterprise-Class Database Analytics to Claude Dashboards
Des Moines Register
LangGrant Brings Enterprise-Class Database Analytics to Claude Dashboards
Dealroom
LangGrant Launches Enterprise Reasoning Initiative with 12 Companies to Make Human Expertise Reusable in AI Systems
daily.dev
LangGrant Launches the Industry’s First Open Standards Initiative for a Safe Enterprise
LangGrant Launches the Industry’s First Open Standards Initiative for a Safe Enterprise
EIN Presswire · Press release
LangGrant Launches First Open Standard Initiative for a Safe Enterprise Learning Loop Built on Shared Human-AI Reasoning
Recent breakthroughs in advanced reasoning LLMs now offer the potential to fundamentally reshape the relationship between AI, data engineering, and analytics.
LangGrant applies LLMs and AI assistants to operational data. Clients face restrictions on data movement and concerns over cost.
Ramesh Parameswaran shares his career journey from Microsoft to startups. He focuses on the evolution in database modernization and AI. He stresses the need to understand database semantics for AI effectiveness.
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.
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.
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.
“…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.”
“A new DevOps database platform can allow the databases to be treated like any other DevOps artifacts. They are orchestrated and automated within the DevOps toolchains.”
“. . . 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.”
“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.”
“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.”
“LangGrant (formerly Windocks) has launched the LEDGE MCP Server. It is an orchestration and governance engine for large language model (LLM) enterprise database access.”
“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.”
Social Media
Featured Customers
LIFE SCIENCES
Novartis
World’s second largest pharmaceutical company by market cap. Shares R&D data across multiple research centers worldwide.
RETAIL
DriveTime
Innovative company utilizing proprietary tools and processes to redefine the process of purchasing, financing, and protecting vehicles.
INSURANCE
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.
FINANCIAL SERVICES
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.
