Whale | Whale Raises $40 Million in Series C3 Round, Bringing Total Series C Funding Past $100 Million

On July 15, MaHui member Whale, a global enterprise AI company, announced the completion of a $40 million Series C3 funding round. This brings Whale's total Series C funding to over $100 million, continuing to attract long-term commitments from diverse global industrial capital.

The Series C3 round was jointly led by CMB International's fund focused on AI and frontier technology, SMBC Asia Rising Fund (SARF) — the corporate venture capital fund of Sumitomo Mitsui Banking Corporation (SMBC), Krungsri Finnovate — the corporate venture capital (CVC) platform of Bank of Ayudhya under Mitsubishi UFJ Financial Group (MUFG), Charisma Partners, and Hyundai Motor Group, with additional investment from Singtel Innov8.

Other strategic investors in the Series C round include Bosch Ventures, MTR Lab, MDI Ventures, Gentree Fund, and Linear Capital.

Whale is a global enterprise AI-native technology company. Built on its self-developed Business World Model (BWM), it provides platform-level AI capabilities covering the full chain of sensing, cognition, and execution for omnichannel online and offline business operators. Whale manages over 600,000 edge AI nodes for more than 1,600 large enterprises worldwide, covering cloud-based AI applications across multiple business scenarios. Its operations span automotive, consumer goods, finance, mobility, advanced manufacturing, and supply chain, delivering AI-native capabilities in security and safety, spatial inspection, sales and service management, and enterprise workflow automation.

1

Whale Business World Model: Using Independent Models to "Take Over Enterprise Operations"

Whale possesses an independently developed full-stack cloud and edge AI system, providing enterprises with secure, neutral, and high-performance AI capabilities. Through its SpaceSight Vision Intelligence Platform, Echo Voice Intelligence Platform, and Lume Content Distribution Intelligence Platform, Whale gives AI the ability to "see, hear, and speak." Whale's cloud-edge AI foundation "Novus" and IoT foundation "Stardust," combined with its knowledge base "Harbor" and Agentic AI Harness platform "Alivia," provide enterprises with a solid AI "memory and reasoning" infrastructure.

By integrating vision, voice, and online sensing — and directly interfacing with enterprise operational execution — the Whale Business World Model (BWM) enables enterprise AI to learn and integrate industry and business operational logic, outputting actionable operational optimization that is simultaneously deployed across sales, production, and supply chain functions. This creates a closed loop of multimodal operational sensing, intelligent analysis, and integrated automated business execution.

2

Leveraging Global Industrial Resources to Build a Multi-Regional, Multi-Industry Enterprise AI Platform

As a global leader in AI, Whale carefully screens strategic investors for long-term industrial synergy value in every funding round. Its two core selection criteria are clear: investors must possess complete upstream and downstream industrial ecosystem resources to collaboratively develop cross-industry standardized intelligent solutions; and they must have established operational channels in their regions to support Whale's localized overseas service deployment.

This round's investors span core industrial sectors including cross-border finance, telecommunications, vehicle manufacturing, advanced industry, urban rail transit, and multinational commerce. Through deep collaboration with these industrial institutions, Whale's platform capabilities can closely align with industry demands, while developing specialized know-how for AI solution deployment through industry-specific engagement.

Leveraging the global industrial networks and regional resources of its investors, Whale has established a cross-border, cross-domain industrial collaboration architecture. Whale will deeply integrate with this capital ecosystem to continuously improve its global localized service footprint and accelerate the full-domain deployment of its self-developed physical business AI technology. By partnering with local industrial players in Japan, South Korea, and Southeast Asia to establish regional operational hubs, Whale helps its global enterprise partners achieve commercial value growth.

Grounded in its China home base, Whale's overseas business has demonstrated strong growth momentum, with annual revenue growth exceeding 200% and overseas revenue accounting for over 50% of total revenue. Its globalization continues to deepen, with business coverage extending to additional countries and regions.

Accordingly, Whale will focus this round's funding on three priorities: continued iteration of BWM's underlying core technology, strengthening the full-chain "sensing — cognition — execution" capabilities; collaborating with global industrial partners to build cross-industry standardized intelligent solutions and drive platform capability replication at scale across diverse scenarios; and enhancing overseas regional headquarters and localized service systems to provide market-adapted deployment support for Chinese enterprises going global.

【About Whale】

Whale is a global enterprise AI-native technology company. With its self-developed Business World Model (BWM) as its core technical foundation, it provides platform-level AI capabilities across the full chain of sensing, cognition, and execution for omnichannel online and offline business operators. Whale has built a full-stack self-developed technical system covering IoT sensing hardware, spatial vision language models (VLM), and Agentic AI Harness, creating proprietary AIOS for enterprises that deeply embeds AI into full business workflows as a secure, controllable, stable, and reliable intelligent core engine. Its business spans diverse sectors including automotive, consumer goods, finance, mobility, advanced manufacturing, supply chain, retail, healthcare, food and beverage, and fashion, with deployed AI-native capabilities in security and safety, spatial inspection, sales and service management, and enterprise workflow automation.

To date, Whale's business operates across 45 countries and regions, serving over 1,600 large enterprises. The company is headquartered in Hangzhou globally, with regional headquarters in Singapore for Asia-Pacific and San Francisco for North America, and localized service teams across core markets in Southeast Asia, North America, and Europe — building a 24/7 global service network. Whale continues to develop a globally competitive, independently secure, and scalably deployable physical business AI platform, empowering Chinese enterprises going global and multinational brands to achieve autonomous intelligent operations and build an interconnected global intelligent business ecosystem.