There’s a bill coming that most companies didn’t budget for.
As enterprises rushed to adopt AI over the past two years, they focused on capability — what the models could do, how fast they could deploy them, which teams would use them first. What many didn’t model carefully enough was the cost of actually running AI at scale. Token-based pricing, sprawling cloud workloads, AI coding agents running in the background — the expenses add up faster than traditional finance dashboards can track them.
PointFive is building the infrastructure to manage that problem. And this week, it raised $60 million in a Series B round led by Accel, with participation from Salesforce Ventures, Index Ventures, Entrée Capital, Perpetual Growth, Vesey Ventures, and Sheva Ventures. The round brings the company’s total funding to $96 million since its founding in 2023.
The Scale of the Problem
The numbers behind PointFive’s raise tell a story about how quickly enterprise AI spending has become unmanageable.
According to the FinOps Foundation’s 2026 State of FinOps report, 98% of organizations now actively manage AI-related spending — up from 63% just one year ago. Cloud waste currently runs between 27% and 32% of all enterprise cloud spending, translating to an estimated $100 to $182 billion wasted annually in 2026 alone.
The core issue isn’t that companies are spending too much on AI. It’s that they can’t see where the money is going. Traditional cost management tools were built for a world of predictable, subscription-based software. AI workloads don’t behave that way. They’re usage-based, variable, and buried deep inside engineering infrastructure that finance teams were never equipped to audit.
Engineering Problem, Not a Dashboard Problem
PointFive’s founding thesis is that cloud and AI cost management has been misclassified as a finance problem when it’s actually an engineering one.
The platform operates in read-only, agentless mode — analyzing cloud infrastructure, data platforms, and AI workloads to identify waste without requiring changes to existing systems. When inefficiencies are found, PointFive automatically routes fixes directly to the engineers responsible, through GitHub pull requests, Jira tickets, and Slack. The goal is to eliminate the gap between identifying waste and actually resolving it.
Alongside the Series B announcement, the company is launching two new products. The first is AI Efficiency OS, a platform experience that lets engineering teams monitor and optimize costs conversationally and run automated remediation workflows. The second is TokenShift, a tool specifically designed to track and optimize spending on AI coding agents — including tools like Claude Code, Cursor, GitHub Copilot, and Windsurf — which have become significant and often unmonitored cost drivers inside engineering organizations.
Customers including Nubank, Hertz, E.ON, Fanatics, and NICE are already on the platform. Nubank, one of the world’s largest digital banks, reported reaching a positive return on investment within ten days of deployment.
Why Accel Led the Round
Philippe Botteri, Partner at Accel, framed the investment around a straightforward market reality: global cloud and AI spending is on a trajectory from roughly $350 billion in 2025 to over $1 trillion by 2030. At those volumes, even modest inefficiency percentages represent enormous dollar amounts — and the companies that can systematically find and fix that waste will have a structural cost advantage over those that can’t.
Accel’s track record in enterprise infrastructure — including early bets on Slack and Dropbox — signals conviction that AI cost optimization is becoming a category in its own right, not a feature inside existing tools.
Salesforce Ventures’ participation adds another layer of signal. As one of the largest enterprise software companies in the world, Salesforce’s investment suggests that AI cost management is becoming a standard expectation for enterprise infrastructure stacks, not an optional optimization layer.
Founded by Operators Who’ve Done It Before
PointFive was founded in 2023 by Alon Arvatz, Amir Hozez, and Gal Ben David — three operators who spent over a decade working together, most recently building IntSights, a cybersecurity intelligence company acquired by Rapid7 in 2021 for $350 million.
That background matters. The trio came to cloud cost management not from a finance perspective but from an engineering and security one — focused on visibility, automation, and workflow integration rather than reporting and dashboards. It’s an approach that has clearly resonated with enterprise buyers: the company reported a sixfold increase in annual recurring revenue between 2024 and 2025.
What Comes Next
PointFive will use the Series B capital to accelerate product development and expand its go-to-market operations in the United States. With the AI infrastructure cost problem still in its early innings — and most enterprises only beginning to grapple with it seriously — the timing of the raise positions PointFive to define a category that is growing faster than the tools built to manage it.
For enterprise leaders, the message is simple: every company is now an AI company. And every AI company is about to get a bill it didn’t budget for.
For more information, visit pointfive.co.
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