Global enterprise AI company Whale has raised $40 million in a Series C3 extension, bringing its total Series C funding to $100 million. The fresh capital will accelerate the global scale-up of its proprietary AI Operating System (AIOS) across North America, APAC, and Europe.
Key Takeaways
- Whale has secured a $40 million Series C3 extension, bringing total Series C funding to $100 million.
- The round was co-led by CMB International and SMBC Asia Rising Fund, with participation from Hyundai and Singtel.
- Whale's proprietary Business World Model (BWM) processes real-world signals like cameras and sensors.
- The company manages over 600,000 edge AI nodes across 45+ countries worldwide.
In a landmark development for the enterprise artificial intelligence sector, Singapore-headquartered Whale has announced a $40 million Series C3 extension, bringing its cumulative Series C funding round to an impressive $100 million. The investment round was led by CMB International (via its AI-focused investment fund) and SMBC Asia Rising Fund (the corporate venture capital arm of Sumitomo Mitsui Banking Corporation). Other notable participants included Hyundai Motor Group, Singtel Innov8, and Krungsri Finnovate, reflecting immense institutional confidence in Whale's vision.
The AI Operating System (AIOS) for Real-World Workflows
Unlike conventional software applications, Whale builds a full-stack AI Operating System (AIOS) designed to unify digital and physical enterprise operations. At the heart of this system is the proprietary Business World Model (BWM). Much like how Large Language Models (LLMs) process and interpret text, the BWM is engineered to interpret multi-modal signals from video cameras, IoT sensors, and audio feeds. This allows enterprises to turn raw, unstructured physical-world data into actionable, decision-ready intelligence in real-time.
Scaling Global Footprint and Edge Node Network
With a robust foundation in the Asia-Pacific region, including Japan, Malaysia, Thailand, and Indonesia, Whale is rapidly expanding its commercial footprint in North America, with plans to enter Europe and the MENA region soon. Currently, the company serves over 1,600 enterprises across 45+ countries, spanning sectors such as retail, automotive, manufacturing, financial services, and food & beverage (F&B). Whale currently manages more than 600,000 edge AI nodes globally, showcasing its massive scale and technical capability.
Revolutionizing Frontline Operations: SpaceSight and Echo
Whale's market leadership is driven by its flagship products: SpaceSight and Echo. SpaceSight converts existing security cameras and IoT sensors into real-time intelligence nodes, tracking foot traffic, customer engagement, and compliance without requiring additional headcount. Meanwhile, Echo analyzes frontline sales conversations to identify successful behavioral patterns, turning these insights into scalable training programs. Together, these tools feed into Whale's broader suite, including Alivia for workflow automation and Harbor for knowledge management.
Addressing the Enterprise Cost Crisis
According to Jerry Ye, Founder and CEO of Whale, this funding is not about starting fresh but about scaling proven technologies. "Enterprises across regions are grappling with rising operational costs and the urgent need to turn unstructured operational data into decision-ready intelligence," Ye stated. Strategic investors agree that retail and industrial digitization have shifted from mere tool integration to AI-native operations, placing Whale at the forefront of the next generation of enterprise infrastructure.