Axiado raises USD 100M+ to rethink security architecture for AI Data Centres

Axiado Corporation has secured more than USD 100 million in an oversubscribed Series C+ funding round, a move that reflects how rapidly security and system management are becoming foundational requirements for AI-driven data centres. The round was led by Maverick Silicon, with participation from Prosperity7 Ventures, Orbit Venture Partners, Crosslink Capital, Nosterra Ventures, and others.

The capital will support Axiado’s global expansion, accelerate product innovation, and deepen its engineering footprint in India, positioning the company at the intersection of platform security, AI infrastructure, and energy-efficient system management.

Why Platform-Level Security Is Gaining Urgency

As AI workloads become more autonomous and compute-intensive, traditional software-only security models are proving insufficient. Modern data centres now require hardware-anchored trust, continuous monitoring, and autonomous response mechanisms embedded directly into the platform.

This is the problem space Axiado is targeting with its Trusted Control/Compute Unit (TCU), a single-chip architecture designed to integrate secure control, compute, and AI-driven monitoring at the platform level. The TCU continuously senses, processes, and acts, enabling intelligent, self-managing systems that are resilient, efficient, and secure by design.

From Control Planes to Self-Managing Infrastructure

Axiado’s TCU rethinks how control planes operate in next-generation cloud and data centre environments. By embedding trust and intelligence directly into silicon, the platform enables real-time protection while also addressing power and efficiency constraints, an increasingly critical concern as AI infrastructure scales globally.

India as a Strategic R&D Growth Engine

A key dimension of the Series C+ expansion is Axiado’s deepening R&D investment in India. The company is scaling its engineering workforce and strengthening local partnerships across hyperscalers, telecom operators, and AI infrastructure leaders.

The India engineering centre, which has expanded significantly over the past year, is expected to play a larger role in firmware development, platform security engineering, and silicon validation. Rather than serving as a support hub, India is being positioned as a core innovation centre focused on solving power, security, and manageability challenges in the agentic AI era.

Recent milestones include doubling headcount in India and Taiwan, growing the overall team by 40%, and opening a new office in India, signalling a long-term commitment rather than incremental expansion.

What the New Capital Will Enable

Beyond R&D, the funding will be deployed to scale sales, marketing, and customer support, strengthen OEM and ODM partnerships, and accelerate go-to-market initiatives. Axiado is aiming to embed its solutions deeper into global data centre ecosystems spanning networking, telecom, edge infrastructure, and hyperscale AI environments.

Leadership Perspectives

“The strong response to our Series C+ round is a clear validation from our customers and partners that AI-driven, hardware-anchored security is now a foundational requirement for today’s data centres,” said Gopi Sirineni, Founder, President and CEO of Axiado.

From an investor standpoint, Andrew Homan, Managing Partner at Maverick Silicon, highlighted that Axiado’s TCU not only addresses real-time security threats but also helps optimise power and cooling, two of the most pressing constraints in AI data centres.

Abishek Shukla, Managing Director at Prosperity7 Ventures US, added that Axiado’s approach aligns with the need for safe, responsible, and energy-aware AI systems as autonomy and scale increase.

Conclusion: Security Shifts Closer to the Silicon

Axiado’s oversubscribed Series C+ round reflects a broader industry shift: security, power optimisation, and system intelligence are converging at the silicon level. As AI data centres evolve from static infrastructure to self-managing environments, hardware-anchored platforms like the TCU are moving from optional enhancements to architectural necessities.

For enterprises, hyperscalers, and infrastructure providers, the message is clear: AI readiness is no longer just about compute scale. It is about trust, resilience, and efficiency built into the foundation itself.

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