AI agents may be getting better at completing tasks, but one startup believes they still lack a skill: understanding how a company actually operates.
Zeroset, which emerged from stealth, has now raised $5.2 million in pre-seed funding to develop AI models that give agents an updated view of business operations.
18-Year-Old Founder Raises $5.2 Million for Startup Building Smarter AI Agents
The startup was founded in January by 18-year-old CEO Akshat Kannan, a Stanford dropout, and 21-year-old William Zhang, who left the University of Texas to work on the company.
Its product, Nebula, connects with software including Microsoft 365, SharePoint, Outlook, Teams, GitHub and workplace messaging platforms. It tracks how information and activity change across those systems, helping AI agents understand workflows, decisions and how similar situations were handled previously.
Zeroset is targeting enterprises and AI-native companies using long-running agents, in manufacturing, supply-chain operations and financial research. It competes indirectly with AI memory infrastructure startups such as Mem0 and Zep.
The funding round was co-led by Gradient, Google’s AI-focused venture fund, and 2048 Ventures, with participation from Leblon Capital.
Zeroset has five employees and plans to use the funding to hire researchers and systems engineers, support enterprise deployments and finance model training. One peak training run reportedly cost $100,000 over two weeks.
