Neha Murukesan & Shreeya Dasa Lakshminath, Co-Founders of Sandhāna – Making Enterprise Engineering Knowledge Instantly Accessible | TiE Women’s Program Silicon Valley 2026

Enterprise engineering teams work across an enormous amount of information every day—from source code and tickets to documentation, conversations, and incident histories. Yet finding the right context can often mean searching across multiple disconnected tools, systems, and conversations.

At the TiE Women’s Silicon Valley Finals, Neha Murukesan and Shreeya Dasa Lakshminath, Co-Founders of Sandhāna, showcased a vision for making that process fundamentally simpler.

The Problem: Engineering Knowledge Is Everywhere

Enterprise engineering teams generate and depend on vast amounts of information.

Code lives in repositories. Issues and tickets live in project management systems. Important decisions can be buried in conversations. Documentation may exist across multiple platforms, while incident histories contain valuable context about what has happened before.

The challenge is not necessarily a lack of information—it is finding the right information and context at the right moment.

When engineers have to search manually across these systems, valuable time can be lost simply trying to understand what has already been built, discussed, documented, or resolved.

Sandhāna’s Solution: An Intelligent Work Graph

Sandhāna is an AI-native intelligent work graph designed for enterprise engineering teams.

The platform indexes an organization’s engineering toolstack—including:

Rather than treating these sources as isolated repositories of information, Sandhāna brings them together into a connected knowledge layer that can be queried using plain language.

From Searching for Information to Asking for Context

One of Sandhāna’s core ideas is simple: engineering teams should be able to ask questions instead of hunting for information.

Users can query their organizational knowledge in natural language and receive answers that are cited and grounded in the underlying sources.

This approach is designed to make it easier for engineers to understand the context behind a system, decision, issue, or incident without having to manually search through multiple tools.

The goal is not simply to surface information, but to make an organization’s collective engineering knowledge more accessible and useful.

Why This Matters for Enterprise Engineering

As engineering organizations grow, so does the amount of knowledge distributed across people, systems, and tools.

That creates a growing context problem: the information needed to solve a problem may already exist somewhere inside the organization, but finding it can take significant time.

Sandhāna addresses this challenge by creating an intelligent way to connect that knowledge and make it queryable.

For engineering teams, that can mean less time spent hunting for context and more time spent building, solving problems, and making informed decisions.

About the Founders

Neha Murukesan and Shreeya Dasa Lakshminath are the Co-Founders of Sandhāna, bringing an AI-native approach to one of the persistent challenges facing modern engineering organizations: making complex, distributed knowledge easier to access and use.

Together, they are building Sandhāna around the idea that enterprise knowledge should not remain buried across disconnected tools—it should be accessible through the context teams need to do their best work.

Powered by TiE Women – Silicon Valley

Through the TiE Women’s Program, women founders gain access to a community designed to help them learn, connect, grow, and showcase their ventures.

The program provides:

For founders like Neha and Shreeya, the program provides a platform to bring innovative ideas to the spotlight and connect with a broader entrepreneurial ecosystem.

Watch Neha & Shreeya’s Pitch

👉 Watch Neha Murukesan and Shreeya Dasa Lakshminath pitch Sandhāna’s vision at the TiE Women’s Silicon Valley Finals:

[Insert recording link]

Learn more about Sandhāna:
https://sandhana.vercel.app/

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