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PointFive raises $60M as AI spending turns into a token bill problem

Original: PointFive raises $60 million Series B to help companies survive the AI cost explosion View original →

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AI Jun 10, 2026 By Insights AI 1 min read 1 views Source

The cost question around AI is moving from whether companies can access models to whether they can control how those models are used. PointFive said on June 8, 2026 that it raised a $60 million Series B to expand its cloud and AI cost management platform, bringing total funding to $96 million.

The round was led by Accel, with participation from Index Ventures, Salesforce Ventures, Entrée Capital, Perpetual Growth, Vesey Ventures, and Sheva Ventures. Several earlier investors also participated, including Mickey Boodaei, Guy Podjarny, Yasmin Lukatz, and Amiram Shachar.

PointFive was founded in 2023 by Alon Arvatz, Gal Ben-David, and Amir Hozez. The founders previously built IntSights, a cybersecurity company acquired by Rapid7 for about $350 million in 2021. PointFive began with cloud cost optimization, but the company says the pressure point has shifted as AI adoption changes enterprise spending patterns.

Arvatz told Calcalist that AI spending inside companies is rising fivefold and that some organizations are seeing growth rates of hundreds of percent per year. The pricing model is part of the stress. Vendors are moving away from fixed subscriptions toward consumption-based billing, often measured in tokens, which makes invoices harder to forecast and easier to inflate through long context, always-on agents, and default use of expensive models.

That makes this funding round a signal for the next phase of FinOps. The problem PointFive is chasing is not only unused cloud instances or oversized databases. It is deciding which model should handle which task, how much context is really needed, when agents should stay active, and how engineering teams should see cost before it becomes a finance surprise. As AI moves from pilots into everyday workflows, cost control becomes part of the product architecture rather than a quarterly cleanup exercise.

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