- Kindo has raised $30M, bringing its total capital raised to $57.6M.
- Crosspoint Capital and Forgepoint Capital co-led the $30M round.
- The money will fund go-to-market growth and its AI Control Center and Deep Hat tools.
As businesses deploy AI agents across more departments, controlling what these systems can access, change and spend is becoming a growing challenge.
Kindo, an AI agent management platform, has raised $30 million in a funding round co-led by Crosspoint Capital and Forgepoint Capital, bringing its total funding to $57.6 million. The company did not name the round.
Kindo reported approximately 800% year-on-year revenue growth in 2026. It plans to use the capital to expand its go-to-market organisation and accelerate development of its enterprise AI Control Center and Deep Hat models and add-ons.
“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,” said Ron Williams, founder and CEO of Kindo.
Founded by an enterprise technology veteran
Kindo was founded in 2022 by Williams, who serves as its CEO. He began his career as a programmer in the US Air Force before moving into IT and security leadership. According to Kindo’s website, he served as chief information officer and chief information security officer at Riot Games, Clover Health and Bird.
Kindo’s founding team also includes Bryan Vann, its co-founder and CTO. Vann was one of the original architects of Google Drive and left Google as a senior director managing most of the Drive engineering team, according to a 2024 Pulse 2.0 interview.
A central control centre for enterprise agents
Kindo helps businesses discover AI agents already operating across their environments, including tools deployed without formal IT approval. It then provides a unified view of agent activity, data access, costs and outcomes.
Its gateways govern and audit calls made by agents to connected data sources, tools and approved AI models. Identity controls extend existing organisational permissions to both employees and agents, while allowing administrators to tighten access centrally.
For mission-critical applications, Kindo offers a purpose-built agent harness that provides continuous monitoring and support. Teams can directly intervene or take over an agent when something goes wrong.
The platform can connect to agents and models already in use, rather than requiring businesses to rebuild their AI infrastructure. It can run on-premises, in a customer’s cloud, through Kindo’s cloud or in air-gapped environments.
Kindo says it runs in production at large and mid-market enterprises in financial services, professional services, healthcare, and aviation and transportation. Aireon, a global aviation in-flight data provider, reported in May 2026 that using Kindo for threat hunting and Tier 1 and Tier 2 security operations centre work helped it save more than $2 million a year, according to the company.
Cutting AI costs as enterprise adoption grows
Beyond security and compliance, the cost of running AI agents is becoming a major concern for businesses. Kindo’s AI Control Center gives finance teams visibility into token consumption, agent runs and their outcomes, including unsuccessful tasks.
Costs can be tracked by employee, agent, department and project. Businesses can also set budgets, trigger spending alerts and enforce hard limits. This helps identify agents that repeatedly fail, consume excessive resources or use expensive models for relatively simple tasks.
Kindo’s Deep Hat add-ons are designed to reduce these expenses further. Deep Hat Sift filters repetitive events from alert and ticket queues after human approval, while logging the activity and sending samples through to measure potential misses.
Deep Hat Tune adapts smaller, less expensive models to specific tasks, reducing reliance on larger models. Deep Hat Shrink converts repeatable workflow steps into code, eliminating model costs for those operations while routing exceptions back to an AI model. Deep Hat Attack provides private, lower-cost offensive security testing.
AI agent security and governance attracts competitors
Kindo is entering a competitive market where startups and established technology companies are developing tools to secure, monitor and govern autonomous AI systems.
London-based Geordie AI raised $30 million in Series A funding led by Balderton Capital in May 2026 to build a security layer for AI agents. Barcelona-based NeuralTrust raised $20 million in seed funding led by Alstin Capital in June 2026 to govern enterprise agents.
Israel’s Zenity raised $125 million in a Series C led by Norwest in August 2026 to secure AI agents. GitGuardian raised $50 million in Series C funding in February 2026, led by Insight Partners, and is extending its non-human identity security to credentials used by AI agents. FriskAI raised $3.6 million in pre-seed funding led by MaC Venture Capital in August 2026 to record and review what agents do.
Investor backing
Alongside Crosspoint Capital and Forgepoint Capital, TFX Capital and CircleRock Capital joined the financing. Existing investors Drive Capital, Riot Ventures, RRE Ventures, Eniac Ventures, Marlinspike Partners, New Era Ventures and Sunset Venture also participated.
Andre Fuetsch, managing director at Crosspoint Capital, and Ernie Bio, managing director at Forgepoint Capital, will join Kindo’s board.
“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. 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,” said Fuetsch.
“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. We backed Kindo because it gives enterprises a way to rein in the tokenmaxxing madness with centrally managed, data-informed control policies,” added Bio.
With cost now as pressing as security, the question for Kindo is whether enterprises will buy one control layer for both, or keep separate tools for each.
