The Los Angeles startup is developing a control center that allows businesses to monitor AI agents, manage permissions and track operating costs.
Kindo has raised $30 million in financing co-led by Crosspoint Capital and Forgepoint Capital, bringing total capital raised to $57.6 million.
The company reports approximately 800% year-over-year revenue growth in 2026.
Founded in 2022 by Ron Williams and a team with enterprise security and software engineering experience, Kindo develops infrastructure for managing autonomous AI systems.
Its platform is designed to give security, IT, finance and compliance teams visibility into how AI is used across an organization.
The Problem With Thousands of AI Agents
Modern AI agents can access databases, execute code, modify files and interact with enterprise applications.
As companies deploy more autonomous systems, employees may begin using different tools without centralized oversight.
This creates challenges around access permissions, data security, operational costs and accountability.
Kindo provides a central registry for AI agents and their activities.
Its platform allows organizations to establish policies governing which data agents can access, what actions they can perform and when human approval is required.
It also tracks spending across models, teams and workflows.
Security and Control Without Model Lock-In
Kindo is designed to work across different AI providers, agent frameworks and enterprise systems.
Customers can deploy it in the company's cloud, their own infrastructure or restricted environments.
The company is also developing Deep Hat, a specialized cybersecurity AI offering.
An Emerging Infrastructure Market
As AI agents become more capable, businesses may need dedicated management systems similar to those used for cloud infrastructure, employee identities and enterprise software.
Kindo is betting that agent governance will become a necessary category rather than an optional security feature.
Its funding will support product development, engineering and commercial expansion.
The challenge is proving that an independent AI control layer delivers sufficient value as major cloud and AI companies add their own governance tools.
Its reported 800% revenue growth suggests strong early demand, although absolute revenue and profitability have not been disclosed.
Sources: Kindo; Tech Funding News (12 November).