Kindo Secures $57.6 Million to Expand Enterprise Control Over AI Agent Actions and Reduce Costs

Crosspoint Capital and Forgepoint Capital co-lead $30 million expansion to scale Kindo's go-to-market operations and accelerate development of its AI agent management platform

LOS ANGELES, Nov. 12, 2026 /PRNewswire/ -- Kindo, the run-anywhere AI agent management platform that puts the enterprise in control, today announced a $30 million raise co-led by Crosspoint Capital and Forgepoint Capital, bringing total capital raised to $57.6 million. The company grew revenue by approximately 800% year over year in 2026 and will use the financing to expand its go-to-market organization and accelerate development of its enterprise AI Control Center and Deep Hat models and add-ons.

As autonomous agents spread through the enterprise and their numbers swell into the thousands, IT, Security, Finance, and Compliance teams struggle to control risks and costs without a centralized tool that can discover, observe, and control the entire enterprise AI footprint. Every time a company lets an AI agent access data, update a customer record, approve a request, or change a production system, it delegates authority. The same permissions that let an agent get work done can let it expose sensitive data, make changes outside company policy, disrupt a critical workflow, or rack up huge inference costs.

"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. That gap is why the teams responsible for supporting and controlling Al are rightfully putting the brakes on Al transformation."

Kindo gives organizations control of the AI agents already running across their operations. It starts with discovery, uncovering shadow AI and mapping where agents are in use, then brings their activity, access, costs, and outcomes into one view. The teams that must support and control AI, IT, Security, Finance, and Compliance, get a single set of controls: what employees can do with an agent, what an agent can touch, how it behaves around the clock, and what it costs. The result is an AI Operations Center, SOC- and NOC-style monitoring and intervention for AI, where those teams eliminate risk, drive down cost, and make sure AI delivers measurable outcomes.

Implementation is turnkey and is run by the IT operations staff an organization already has. Teams connect the agents, data sources, and AI models already in use, and from that moment everything is discovered, observed, and controlled from one place. Kindo's gateways govern and audit every call an agent makes to connected data, tools, and approved models. Identity controls apply the organization's existing permissions to people and agents alike, with the option to tighten them centrally. For mission-critical agents that need deeper control, Kindo's harness, purpose-built for centralized agent operations, adds around-the-clock monitoring, support, and direct intervention, including the ability to take over an agent when something goes wrong.

Customer Adoption

Kindo runs in production at large and mid-market enterprises in financial services, professional services, healthcare, and aviation/transportation. Global aviation in-flight data provider Aireon's CISO reported in May 2026 that using Kindo for threat hunting and Tier 1 and Tier 2 SOC functions helped the company work faster, get more value from its existing security monitoring infrastructure, and save more than $2 million a year.

Controlling AI Cost

Security and compliance were the first reasons organizations needed control of their agents. Cost is now front and center. AI spend is growing year over year with no end in sight, and it has become a key issue slowing AI programs.

Kindo's AI Control Center gives Finance teams a way in. Every token consumed and every agent run's outcome is recorded, including the failed ones, so costs and return on AI spend roll up by individual, agent, department, and project. Budgets can be set, alerts triggered, and hard spend caps enforced. Finance sees what each agent is trying to do, what it did, and how much it spent doing it, which surfaces the agents that fail often, deliver little, or use models that are overkill for the task.

For agents running in Kindo's harness, the Deep Hat add-ons drive those costs down. Deep Hat Sift learns from an agent's verdicts which events on busy alert and ticket queues it would dismiss; once a person approves the threshold, Sift skips those runs, logs every event it filters, and sends a sample through to measure misses. Deep Hat Tune adapts a smaller, lower-cost model to a specific task, reserving larger models for work that needs them. Deep Hat Shrink runs repeatable workflow steps as code, eliminating the model cost entirely, and still routes exceptions back to the model when needed. Deep Hat Attack gives security teams low-cost, private offensive security testing, reducing frontier cybersecurity model use for day-to-day security work.

TFX Capital and CircleRock Capital participated in the financing, alongside existing investors Drive Capital, Riot Ventures, RRE Ventures, Eniac Ventures, Marlinspike Partners, New Era Ventures, and Sunset Venture. As part of the financing, Andre Fuetsch, managing director at Crosspoint Capital, and Ernie Bio, managing director at Forgepoint Capital, will join Kindo's board of directors.

"2026 has been the year of the agent. Companies are putting AI agents into real business processes, but most still lack a reliable way to see what those agents are doing or control which systems they can reach," said Fuetsch. "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."

"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," said Bio. "We backed Kindo because it gives enterprises a way to rein in the tokenmaxxing madness with centrally managed, data-informed control policies."

About Kindo
Kindo is an AI agent management platform and enterprise AI control center for teams that secure, support, and govern AI agents in production. It gives IT, Security, Finance, and Compliance a shared view and control of agent activity, the policies that govern access to data, models, and tools, and the cost of running agents. Organizations can build agents in Kindo or connect agents built elsewhere. Kindo runs on-premises, self-managed in the customer's cloud, in Kindo's cloud, or in an air-gapped environment. Kindo is SOC 2 Type II certified and supports a broad range of security and compliance programs and standards. Learn more at kindo.ai.

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SOURCE Kindo