Kindo Raises $30 Million as Revenue Grows 800% on AI Agent Boom

Kindo has raised $30 million in new funding, pushing its total capital raised to $57.6 million after roughly 800% year-over-year revenue growth in 2026. Crosspoint Capital and Forgepoint Capital co-led the round, with TFX Capital and CircleRock Capital also participating, alongside existing investors Drive Capital, Riot Ventures, RRE Ventures, Eniac Ventures, Marlinspike Partners, New Era Ventures, and Sunset Venture.

The Los Angeles-based company builds an enterprise platform for managing AI agents. It plans to spend the money on go-to-market expansion and faster development of its AI Control Center and Deep Hat models and add-ons.

Two new directors join the board: Andre Fuetsch, managing director at Crosspoint Capital, and Ernie Bio, managing director at Forgepoint Capital.

Why do enterprises need AI agent management?

Companies now use autonomous agents to read corporate data, update records, approve requests, and modify production systems. That creates a control problem. IT and security teams need one place to see agent permissions, activities, and spending.

Kindo's platform discovers AI agents running across an organization, including unauthorized shadow AI deployments. It consolidates their access permissions, activities, operating costs, and outcomes in a single view. IT, Security, Finance, and Compliance departments share one environment for setting policies, monitoring agent behavior, and intervening when needed.

The company compares its AI Operations Center to the monitoring and intervention model used in security operations centers and network operations centers. The platform integrates with existing agents, models, and enterprise data sources. Gateways govern and audit every interaction between agents and connected systems. Identity controls extend existing organizational permissions to AI agents.

For mission-critical operations, Kindo's agent harness provides continuous monitoring, operational support, and direct intervention. Administrators can take control of an agent when problems arise.

CEO Ron Williams framed the market gap plainly. "Agent builders from the AI labs, hyperscalers, and thousands of startups make it easy to deploy powerful agents across the business. 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," Williams said. "That gap is why the teams responsible for supporting and controlling AI are rightfully putting the brakes on AI transformation."

What does the AI Control Center do for costs?

The AI Control Center records token consumption and execution outcomes, including failed operations. Finance teams can break down AI spending by employee, agent, department, or project. They can set budgets, spending alerts, and hard expenditure limits. The tools help identify inefficient agents, excessive model usage, and workflows that fail to generate enough business value.

Kindo's Deep Hat technology adds four cost-optimization products:

• Deep Hat Sift flags routine alerts and tickets that agents would likely dismiss. After humans approve defined thresholds, organizations skip unnecessary AI processing. The system logs filtered events and samples outcomes to check accuracy.
• Deep Hat Tune adapts smaller, cheaper AI models to specific enterprise tasks, reducing reliance on expensive models.
• Deep Hat Shrink converts repeatable workflow steps into conventional code, cutting inference costs while keeping AI for exceptions.
• Deep Hat Attack runs private, lower-cost offensive security testing, reducing dependence on expensive frontier cybersecurity models.

Who is using it, and how fast is it growing?

Kindo runs in production at large and mid-market enterprises in financial services, professional services, healthcare, and aviation and transportation. Global aviation data provider Aireon reported in May 2026 that using Kindo for threat hunting and Tier 1 and Tier 2 security operations generated more than $2 million in annual savings.

The company supports on-premises infrastructure, customer-managed cloud environments, its own cloud, and air-gapped systems. The platform holds SOC 2 Type II certification.

Fuetsch called 2026 "the year of the agent" and said most companies still lack a reliable way to see what their agents are doing. "Kindo differentiates itself by giving the teams who need deep control the ability to see and take action while allowing AI transformation to move forward across the enterprise," he said.

Bio pointed to a typical adoption path. "A company may start with one agent triaging security tickets. As more employees and teams put agents to work, the CIO needs a single place to manage what they can access, support what they do, and control the cost," Bio said. "We backed Kindo because it gives enterprises a way to rein in the tokenmaxxing madness with centrally managed, data-informed control policies."

The round signals that investors now see agent governance, not just agent building, as the next budget line enterprises will fund.