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North.cloud bags $60M in funding to help businesses keep runaway cloud costs in check

A startup called North Cloud Holdings Inc. says it’s going to help companies prevent the costs of cloud computing and artificial intelligence infrastructure spiraling out of control after raising $60 million in funding today. The Series B round was led by PeakSpan Capital and saw participation from a host of others, including Litquidity Ventures, Companyon […] The post North.cloud bags $60M in…

North.cloud bags $60M in funding to help businesses keep runaway cloud costs in check

North.cloud, a startup specializing in cloud cost management for businesses, has secured $60 million in Series B funding led by PeakSpan Capital. This investment aims to bolster the company's autonomous financial operations platform, enhance integrations with third-party services, and escalate its marketing initiatives. The growing use of artificial intelligence (AI) in cloud computing, particularly on platforms like Amazon Web Services, Microsoft Azure, and Google Cloud, has led to unpredictable and escalating costs for many organizations.

North.cloud's platform addresses this issue by providing accurate cost forecasts and optimizing cloud and data expenses, thereby helping businesses maintain their profit margins. The startup's innovative TokenFlow feature consolidates data on AI model usage, budgets, and compute costs, enabling automated financial operations (FinOps) for seamless cost reduction without disrupting business operations.

With its recent launch of North v3, North.cloud now supports Microsoft Azure alongside Amazon Web Services and Google Cloud, along with integrations with Snowflake's cloud data warehouse and AI models from OpenAI and Anthropic. This expansion has enabled North.cloud to assist clients in saving over $400 million on cloud and AI infrastructure costs, currently managing nearly $2 billion in managed cloud spending.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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