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Whale raises $40M extension to bring Series C to $100M

5 hours ago
By AI, Created 16:39 UTC, Jul 22, 2026, AGP -

Whale added $40 million to its Series C, lifting the total round to $100 million as the enterprise AI company expands across North America, APAC and new international markets. The funding backs a platform built to turn operational data from physical environments into decision-ready intelligence for large businesses.

Why it matters: - Whale is raising more capital as enterprise customers push for AI that can connect physical operations with real-time decisions. - The funding gives Whale more room to expand deployments, integrations and regional coverage across global markets. - Investors across banking, telecom, automotive and industrial sectors are backing the same thesis: enterprise AI should move from analysis to execution.

What happened: - Whale announced a $40 million Series C3 extension on July 22, 2026, bringing its total Series C funding to $100 million. - CMB International and SMBC Asia Rising Fund led the extension. - Krungsri Finnovate, Singtel Innov8, Hyundai Motor Group and Charisma Partners also participated. - Earlier Series C backers included Bosch Ventures, MTR Lab, MDI Ventures, Gentree Fund and Linear Capital. - Whale is headquartered in Singapore and has a growing base in North America.

The details: - Whale serves more than 1,600 enterprises in more than 45 countries. - Whale manages more than 600,000 edge AI nodes globally through its proprietary Business World Model. - The Series C3 is intended to expand Whale's reach in North America and APAC, with MENA and Europe next. - Founder and CEO Jerry Ye said the new capital will help Whale scale teams globally and expand platform integrations for enterprises that need to turn unstructured operational data into decision-ready intelligence. - Whale's platform connects online data with physical environments and turns stores, showrooms and facilities into intelligent operations. - Whale's products include SpaceSight for vision intelligence, Echo for sales conversation analytics, Lume, Alivia, Harbor and Novus. - Whale's platform is built on its Business World Model, which the company describes as an AI model for physical environments similar to how large language models work for text. - Whale says its products support retail, automotive, food and beverage, manufacturing, financial services, healthcare, and fashion and apparel. - SMBC Group said its global client network and industry expertise could help deliver value across industries and regions. - CMBI said Whale's execution across complex, real-world deployments was a key reason for backing the company. - Krungsri Finnovate said Whale's enterprise-grade AI and omnichannel capabilities fit its ASEAN network strategy. - Hyundai Motor Group said Whale can translate AI innovation into tangible business impact across sales, marketing, service and customer engagement. - Linear Capital said Whale has continued to deepen AI capabilities across enterprise products and grow globally.

Between the lines: - The investor mix signals Whale is positioning itself as infrastructure for enterprise AI, not just another software application. - The emphasis on physical environments suggests Whale is targeting companies where AI must interact with stores, factories, customer conversations and other real-world operations. - The geographic spread of backers points to a broader push into Asia and global enterprise accounts. - The round also suggests buyers and investors are rewarding AI platforms that can show deployment at scale, not only product demos.

What's next: - Whale plans to keep expanding in North America and APAC while preparing for growth in MENA and Europe. - Whale is expected to use the new capital to grow its teams and deepen platform integrations. - The company will likely lean on its strategic investors for regional expansion and enterprise introductions.

The bottom line: - Whale has raised enough capital to push its enterprise AI operating system further into global deployment, with investors betting that physical-world AI infrastructure will be a major category.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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