These young founders just raised $5.2 million from Gradient to teach AI agents how companies work
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.
TL;DR
- Zeroset has raised $5.2 million to build AI models that help AI agents understand company operations.
- Current AI models lack knowledge of individual business dynamics, as information is often scattered.
- Zeroset's product, Nebula, connects to existing software like Microsoft 365 and GitHub to track information and activity.
- The goal is to enable AI agents to understand workflow sequences and handle tasks autonomously.
- The company was founded by Akshat Kannan and William Zhang, who dropped out of Stanford and the University of Texas, respectively.
- Zeroset plans a tiered pricing model and targets enterprises and AI-native companies.
- The $5.2 million pre-seed round was co-led by Gradient and 2048 Ventures.
- Funding will be used for hiring, early deployments, and model training, which is a significant cost.