
(SeaPRwire) – TAICHUNG, Taiwan, May 28, 2026 — Origins Network, a Layer 1 blockchain that just wrapped up an $8 million funding round supported by leading venture capital firms like Animoca Brands and TB Ventures—plus strategic backing from AWS Cloud and Tencent Cloud—has formally named Robles Carlos as its new Chief Executive Officer. At the same time, the initiative reaffirmed its dedication to enhancing verifiable computing infrastructure, speeding up cross-chain interoperability, expanding decentralized compute capabilities, and strengthening AI integration.
Ex-McKinsey Consultant Takes Center Stage: Carlos Manuel Publicly Confirms CEO Role for the First Time
Origins Network has revealed Carlos’s immediate appointment as its new CEO, tasked with guiding the company’s strategic vision and global operations. After a phase dedicated to developing its core protocol and infrastructure, Origins Network has completed its foundational framework. Carlos’s hiring marks the company’s move into its next growth stage: shifting from an infrastructure-focused strategy to expanding into global markets.
As a former McKinsey & Company consultant, Carlos brings a diverse background in international political economy and software engineering, with expertise in data-led organizational change. Though he has been heavily involved in the project behind the scenes for some time—using structured approaches to tackle complex issues and data to inform decisions—this is his first public role as CEO to lay out Origins Network’s strategic plan.
As Origins Network aims for global expansion, Carlos’s language skills provide a unique strategic edge. Fluent in six languages—including English, Mandarin, and Korean—he is well-equipped to connect key markets and speed up the network’s global rollout.
$8M Funding Round Concluded: Origins Network Gains Strategic Backing from AWS and Tencent Cloud
Origins Network recently shared that it has closed an $8 million funding round, with contributions from Animoca Brands, TB Ventures, Candaq Fintech, Castrum Capital, Coinvestor Ventures, as well as several family offices and angel investors. AWS Cloud and Tencent Cloud have also come on board as strategic partners, offering direct computing infrastructure support for the network’s continued growth. In his new role, Carlos articulated the project’s mission clearly: “Origins Network exists to address the AI era’s most pressing infrastructure gap—ensuring compute is verifiable, data is transparent, and every execution is auditable.”
Native Cross-Chain Bridge Launches With Infrastructure Enhancements
In conjunction with the CEO appointment, Origins Network revealed the successful launch of several key infrastructure updates. A native cross-chain bridge is now operational, enabling users to transfer assets across different ecosystems directly through the Origins Network web platform at quicker speeds, without needing third-party tools. Furthermore, an improved USDT authorization verification system has been implemented to fix transaction failures stemming from on-chain status delays during network congestion.
These updates are built on Origins Network’s core architecture. As the first Layer 1 blockchain specifically designed for autonomous AI agents, it operates using a Proof of Computation consensus model. Its three-layer identity system (User, Agent, Session) allows for precise, detailed control over the authorization range of each Agent’s actions, with permissions automatically ending once a task is finished. The testnet is currently active, backed by ecosystem partnerships with various infrastructure providers.
Closing the AI Trust Gap Through Decentralized Infrastructure
Although AI is advancing quickly, its core infrastructure challenges remain unaddressed in a meaningful way. Currently, computing power is held by a small number of cloud providers, making data usage, model operation, and output creation a mystery to end users. As AI becomes more prevalent in key sectors such as finance, healthcare, and governance, this lack of transparency is no longer just a technical problem—it’s a systemic risk.
Carlos pointed out that the main challenge for the AI industry right now isn’t a shortage of technical skills, but the lack of a basic trust layer. With current systems, there’s no way to confirm who supplies the compute, how data is handled, or if an Agent’s action was carried out exactly as stated. Users have no option but to trust others—and trust has become a risk in itself.
In its upcoming phase, Origins Network will speed up core infrastructure improvements, increase decentralized compute capacity, and expand AI integration throughout the network, moving this architecture from the testnet to real-world applications.
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Logan Chen
gaeavc@gaeavc.com
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