Axiado, a provider of hardware-based platform security solutions, has secured $60 million in a Series C funding round led by Maverick Silicon, with participation from Samsung Catalyst Fund, Atreides Management, and Crosslink Capital.
The financing is intended to advance the company’s hardware-anchored Trusted Control/Compute Unit (TCU), a technology designed to enhance data center security and improve energy efficiency, particularly as the use of AI accelerators grows in next-generation computing environments.
Axiado’s TCU offers a combination of pre-emptive threat detection, zero-trust security controls, and on-chip dynamic thermal management. By anchoring security functions directly in silicon, the TCU aims to address the limitations of traditional software-based solutions, which often rely on patches, updates, and monitoring services that can be slow to adapt to new threats. This hardware-level approach is intended to mitigate risks associated with ransomware, supply chain vulnerabilities, and side-channel attacks. It also integrates AI-driven cooling optimizations that adjust to real-time workloads, potentially reducing power consumption in large-scale AI data centers and contributing to more sustainable operations.
Cybersecurity threats continue to rise, with US cybercrime damages exceeding $12.5 billion last year, according to the FBI’s Internet Crime Complaint Center. As AI workloads proliferate—AMD forecasts the AI data center accelerator market to surpass $500 billion by 2028—energy use and security demands are expected to intensify. Meeting these challenges is becoming increasingly important for organizations that operate data-intensive infrastructures.
In the broader market, several established players have also moved toward more secure, AI-friendly architectures. Chipmakers such as Intel, AMD, and Arm have integrated various security features into their processors, often focusing on trusted execution environments and firmware-level protections. These approaches improve baseline security but generally do not combine proactive threat mitigation and dynamic thermal management into one system-on-chip.
Other startups, including the likes of Graphcore and SambaNova Systems, concentrate their efforts on accelerating AI performance rather than embedding hardware-level security capabilities. On the security side, companies such as Intrinsic ID and Anjuna Security provide specialized solutions, like hardware-based identifiers or encrypted enclaves, but these tend to address only specific aspects of the overall security challenge.
Axiado’s TCU is positioned to stand apart by unifying security, power optimization, and AI-driven policy enforcement within a single silicon platform.
With the new funding, Axiado plans to strengthen strategic partnerships with platform vendors and expand its go-to-market efforts. The startup will also continue to invest in R&D and hiring, including its growing teams in Taiwan, India, and the United States. The aim is to meet the demands of hyperscale data centers, 5G networks, and other distributed computing environments that require both enhanced security and efficient energy usage.
By combining silicon-level threat detection, advanced cooling strategies, and compatibility with leading computing platforms, Axiado aims to position itself as a comprehensive solution provider for organizations looking to secure and optimize their accelerated AI data centers.
