Whale, an enterprise AI company headquartered in Singapore, has announced a $40 million Series C3 extension, pushing its total Series C funding to $100 million. This significant capital infusion will fuel the company's global expansion, particularly across North America and Asia-Pacific, while also laying the groundwork for entry into the Middle East and Europe. The investment reflects a growing demand for AI solutions that can effectively manage and optimize physical operations.

Founded by former Meta data scientist Jerry Ye, Whale develops an AI Operating System (AIOS) that connects digital workflows with real-world data. Its proprietary Business World Model (BWM) interprets signals from cameras, sensors, and audio devices to automate tasks and generate actionable business insights. This approach allows enterprises to transform unstructured operational data into decision-ready intelligence, addressing critical challenges like rising operational costs and the need for enhanced efficiency.

The funding round was led by CMB International's AI-focused investment fund and SMBC Asia Rising Fund. New strategic investors include Krungsri Finnovate, Singtel Innov8, Hyundai Motor Group, and Charisma Partners, joining existing Series C participants like Bosch Ventures and MTR Lab. This diverse investor base highlights the broad industry interest in Whale's technology, which serves over 1,600 enterprises in more than 45 countries across various sectors, including retail, automotive, manufacturing, and financial services.

Whale's platform manages over 600,000 edge AI nodes globally, demonstrating its capability to deploy AI at scale in diverse operational environments. The company plans to use the fresh capital to scale its teams, deepen enterprise partnerships, and expand platform integrations with local infrastructure. This focus on practical, deployed AI solutions for physical environments differentiates Whale in a crowded AI market, moving beyond theoretical models to tangible operational improvements.

The continued investment in companies like Whale signals a maturing phase in enterprise AI, where the focus is shifting from experimental applications to robust, scalable systems that deliver measurable business value. As businesses increasingly seek to leverage AI for real-world efficiency gains and data-driven decision-making, solutions that can seamlessly integrate into existing physical operations will become paramount. Whale's success underscores the importance of AI that can interpret and act upon multimodal data from the physical world.