Zeroset Raises $5.2M to Give AI Agents Company Context

Zeroset raises $5.2M to give AI agents company-specific context

AI agents are becoming more capable, but one major problem remains: they often do not understand how a specific company actually works.

Zeroset is taking a different approach. The startup emerged from stealth with $5.2 million in funding and introduced its first product, Nebula, a platform designed to give AI agents company-specific context.

Nebula connects workplace systems such as Microsoft 365, Outlook, Teams, SharePoint and GitHub. Instead of simply finding individual documents, the platform aims to understand information across different systems and how that information relates to the way a company operates.

From document search to workflow understanding

Traditional Retrieval-Augmented Generation, or RAG, is commonly used to help AI systems retrieve relevant information from company documents.

A simple RAG request might be:

“Find me the document about this process.”

But real business decisions are rarely contained in one document.

Important context could be spread across an email conversation, a Teams discussion, a SharePoint document, a GitHub issue and other internal systems.

The bigger goal is therefore:

“Understand how this company actually makes this decision across its different systems.”

This distinction could become increasingly important as businesses move from AI chatbots toward autonomous AI agents.

Why AI agents need company context

An AI agent that understands company-specific context could potentially perform more useful tasks. For example, an agent could connect information from internal communications, documentation and software development workflows before recommending an action.

This can make AI more useful for areas such as customer support, software development, internal operations, research and workflow automation.

The development also highlights a broader shift in enterprise AI. Businesses are not only asking whether an AI model is intelligent. They are asking whether the AI can understand their data, their processes and their way of working.

For Indian businesses and startups, this trend is worth watching as AI agents become more deeply integrated into enterprise software.

The future of enterprise AI may therefore depend on more than giving agents better models. They also need better context.

Zeroset's Nebula is an example of this emerging direction: connecting information across business systems so AI agents can move from simply retrieving information toward understanding workflows and taking more useful actions.