In January 2025, Bluwhale announced that its cumulative funding and commitments had reached $100 million, supporting the expansion of its AI-focused intelligence layer across multiple blockchain networks.
The milestone accompanied a collaboration with Caldera around Oceanum, an initiative designed to connect fragmented blockchain data and make it more useful for AI agents, models and applications.
The $100 million milestone
The announced total combined prior venture financing, a token-purchase commitment, grants and node-sale proceeds. Together, these sources of support were intended to help Bluwhale expand its intelligence layer across L1 and L2 networks.
Funding structure
The announcement included a $75 million token-purchase commitment alongside the other financing and network-support components. The $100 million figure represented that combined total of funding and commitments.
This support backed a broader development goal: giving AI systems connected context across blockchain environments so developers could build on more useful information.
Collaborating with Caldera on Oceanum
Bluwhale's collaboration with Caldera focused on an AI-specific intelligence layer that would aggregate and contextualize information from different chains. The announced design called for a custom zero-knowledge layer, initially built on Arbitrum.
Oceanum brought data organization and infrastructure into the same initiative, with the aim of making underlying resources easier for AI agents, models and applications to use.
Connecting blockchain data with AI
The design connected three roles: L1 and L2 networks supplied the underlying blockchain environments; the intelligence layer organized information across those networks; and AI agents, models and applications used the resulting context.
That approach addressed a practical challenge for developers. Raw events from separate chains become more useful when they can be connected and understood together.
A role for network participants
The announcement connected Bluwhale's node network to the wider roadmap through verification and data participation. Storage and computing resources were described as future capabilities supporting the intelligence layer.
Mobile access was part of the effort to make participation easier for individuals. Explore the Bluwhale node guide for participation and setup information.
Follow Bluwhale's development
The milestone reflected Bluwhale's ambition to make fragmented data more useful for AI. Visit the Company page and Ecosystem page to explore its products, network and mission.