Kindo Raises $30M to Expand Its Enterprise AI Platform

Kindo, a Venice, CA-based provider of an enterprise AI agent management platform, has raised $30 million in a funding round, bringing the total to $57.6 million.

The round was co-led by Crosspoint Capital and Forgepoint Capital, with participation from TFX Capital and CircleRock Capital, alongside existing investors Drive Capital, Riot Ventures, RRE Ventures, Eniac Ventures, Marlinspike Partners, New Era Ventures, and Sunset Venture.

The company will use the funds to expand its go-to-market team and accelerate development of its Enterprise AI Control Center, Deep Hat models and add-ons.

What is Kindo?

Kindo develops an enterprise platform that helps businesses discover, monitor and manage AI agents operating across their organisations. It gives IT, security, finance, and compliance teams a central place to track agent activity, permissions, performance and costs.

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As businesses deploy more AI agents, managing their access to company data, systems and applications becomes increasingly important. Without proper controls, agents can expose sensitive information, make unauthorised changes or generate unexpected costs.

Kindo addresses these challenges by connecting existing AI agents, data sources and models through a central control system. Its gateways monitor and audit agent interactions with connected tools and data, while identity controls apply existing company permissions to both employees and AI agents.

The platform can run on-premises, in a customer's cloud, in Kindo's cloud or in air-gapped environments.

How Much Funding Has Kindo Raised?

Kindo has raised $57.6 million in total funding, including its latest $30 million round.

The company has not disclosed details of its previous funding rounds or their dates.

Who Invested in Kindo’s Funding Round?

The latest $30 million round was co-led by Crosspoint Capital and Forgepoint Capital.

Other participating investors included TFX Capital and CircleRock Capital. Existing investors Drive Capital, Riot Ventures, RRE Ventures, Eniac Ventures, Marlinspike Partners, New Era Ventures and Sunset Venture also participated.

Why the Funding Matters

As AI agents become more common in businesses, organisation's need better ways to manage their security permissions, and operating costs.

Kindos platform provides a central view of how agents operate and what they access. It's AI Control Center also records token usage and agent outcomes, allowing finance teams to track spending by employee, department, project and individual agent.

The new funding will support further development of these capabilities, and help Kindo expand its commercial operations.

Who founded Kindo?

Kindo was founded in 2022 by Ron Williams. The company is headquartered in Venice, California.

"Agent builders from the AI labs, hyperscalers, and thousands of startups make it easy to deploy powerful agents across the business," said Ron Williams, founder and CEO of Kindo. "What's missing is the tooling that lets an organization centrally control how those agents are built, what data they can reach, where that data can go, and what they cost, while also allowing support teams to reach in and fix an agent at any hour.

Market and Business Growth

Kindo is used in production by large and mid-market enterprises across financial services, professional services, healthcare, aviation and transportation.

One customer, global aviation data provider Aireon, reported in May 2026 that using Kindo for threat hunting and security operations helped it work faster and make better use of its existing security monitoring infrastructure. The company also reported annual savings of more than $2 million.

Kindo offers additional Deep Hat tools to help reduce AI operating costs. These include Sift for filtering certain agent tasks, Tune for adapting smaller AI models, Shrink for running repeatable workflows as code, and Attack for security testing.

What Happens Next?

Kindo plans to expand its go to market organisation and accelerate development of its Enterprise AI Control Center and Deep Hat products.

The company will continue building tools that help enterprises monitor AI agents, manage access to business systems, improve security and control the costs of running AI operations.

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