AI agents don't always understand how companies work. This startup raised $5.2 million to solve that.
Zeroset has come out of stealth and raised $5.2 million to build models that give AI agents a constantly updated picture of a company's operations.
Zeroset, a startup founded by Akshat Kannan and William Zhang, has raised $5.2 million in pre-seed funding to address the issue of AI agents not fully understanding the inner workings of companies they operate within. The company's product, Nebula, integrates with enterprise applications to provide AI agents with a constantly updated picture of a company's operations, enabling them to understand the sequence of events and decisions that make up a workflow.
This allows AI agents to autonomously handle similar cases, rather than relying on a pile of scattered documents. Kannan emphasized that today's AI models lack knowledge of an individual business's inner workings, as that information can be dispersed across various systems and is not typically used to train these models. Zeroset's first product, Nebula, connects to software commonly used by companies, including Microsoft 365, SharePoint, Outlook, Teams, GitHub, and workplace messaging tools, tracking how information and activity change over time.
The startup is currently in a closed research preview and plans to expand access to customers through a license and usage-based pricing model.
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