Large Round to Apply AI to Mission-Critical Code Translation: Code Metal's $125M Series B and Industry Momentum

In a pivotal development for the future of secure, mission-critical systems, Code Metal, a Boston-based innovator in verifiable AI-enabled code translation, has successfully closed a $125 million Series B funding round. This substantial investment highlights an industry-wide shift toward deploying trustworthy AI solutions in sectors where security, compliance, and operational integrity are non-negotiable. As organizations modernize legacy systems, the role of verifiable, AI-driven code transformation becomes increasingly vital—especially in defense, aerospace, and other regulated industries.

Advancing Verifiable, Secure AI-Powered Code Transformation

Code Metal’s core mission is to provide verifiable, AI-powered code translation that ensures accuracy, security, and compliance. Their cutting-edge technology employs state-of-the-art artificial intelligence to accurately convert complex, proprietary, or outdated codebases into modern, secure, and interoperable formats. This capability is critical for organizations seeking to modernize legacy systems without introducing vulnerabilities or compromising security standards.

Particularly in defense, aerospace, and highly regulated sectors, code integrity and security assurance are paramount. Automating and verifying code translation reduces operational costs, accelerates deployment timelines, and ensures compliance with strict security standards, enabling organizations to modernize confidently without risking vulnerabilities or regulatory breaches.

Industry Trends: The Ecosystem of Trustworthy AI Expanding

The recent funding for Code Metal is part of a broader wave of industry investments and innovation focused on trustworthy AI, reliability, and security—especially as AI becomes embedded into mission-critical infrastructure.

Key Related Funding and Industry Movements

• SambaNova’s $350 million Funding: Recently, SambaNova Systems secured $350 million in a Vista-led round, complemented by a strategic partnership with Intel. This funding aims to develop next-generation AI hardware, emphasizing high-performance, secure AI chips suited for enterprise and government applications. As CEO Rodrigo Liang noted, “This funding will accelerate our ability to deliver scalable AI infrastructure capable of supporting the most demanding workloads in industry and government sectors.”

• AI Reliability and Observability Platforms: Companies like Arize AI raised $70 million in Series C to develop AI system monitoring, trustworthiness, and explainability tools. These platforms address the need for trustworthy AI in sensitive environments, ensuring model operation, security, and regulatory compliance.

• Orbital and Edge Computing Innovation: Sophia Space secured $10 million in seed funding to develop orbital computing systems, reflecting a focus on secure, resilient hardware and software stacks for space applications—where verifiable AI and secure system design are critical for mission success.

• Hardware and Infrastructure Investments: The $500 million raise by chip startup MatX, a notable Nvidia competitor, underscores a focus on building specialized AI hardware optimized for secure, scalable deployment at the edge and in space.

• Web Data Validation for Enterprise AI: Nimble, a New York-based startup, secured $47 million in Series B to enhance web data validation and structuring for enterprise AI. Nimble’s platform converts live web content into structured, validated datasets, addressing trustworthy data sourcing—a foundational element for reliable AI systems.

• AI Infrastructure Focus: Additionally, Callosum, a London-based AI infrastructure company for AI models, raised $10.25 million to develop robust, scalable AI infrastructure solutions supporting advanced AI deployment, including in secure or regulated environments.

Industry Trends Summary

• Investment surge in trustworthy AI, observability, and security tools to meet increasing demands for security and compliance.
• Development of verifiable AI tools that guarantee correctness, security, and regulatory adherence.
• Integration of AI into legacy system modernization workflows—enabling seamless updates without vulnerabilities.
• Focus on secure hardware solutions for edge and space-based AI applications, ensuring resilience and verifiability.

Strategic Implications for Defense and Regulated Sectors

The significant funding for Code Metal signals a strategic shift within defense, aerospace, and regulated industries toward AI-driven modernization. Organizations seeking to rewrite and upgrade critical codebases are increasingly turning to verifiable AI solutions that prioritize security, correctness, and compliance.

This investment validates the importance of trustworthy AI in secure code translation, emphasizing that verifiable, reliable AI tools are essential for modernizing legacy systems without compromising security standards or regulatory requirements. It also catalyzes the development of industry standards, best practices, and partnerships across hardware, software, and data stacks to support secure AI infrastructure.

Current Status and Future Outlook

With this $125 million funding round, Code Metal is poised to accelerate the development and deployment of its AI-powered, verifiable code translation solutions. The company plans to expand its technological capabilities, forge strategic partnerships, and support government and enterprise clients in their modernization efforts.

The broader industry momentum—driven by investments in trustworthy AI, hardware, and infrastructure—suggests a future where AI-enabled tools become standard practice for securing and modernizing mission-critical infrastructure. These developments are expected to enhance resilience, reduce vulnerabilities, and streamline modernization workflows across sectors vital to national security, public safety, and industrial stability.

Broader Industry Context and Strategic Significance

The recent influx of funding into companies like Code Metal, SambaNova, Sophia Space, MatX, Nimble, and Callosum demonstrates the emergence of a robust ecosystem dedicated to building trustworthy, verifiable AI systems capable of operating securely at the edge, in space, and within legacy environments.

This collective momentum underscores a strategic recognition: reliable AI is not just a technological advantage but a critical enabler for security, resilience, and operational integrity in mission-critical domains. The convergence of hardware innovation, trustworthy AI tools, and secure infrastructure signifies a new era in AI-enabled modernization.

Final Thoughts

The closing of the $125 million Series B funding round for Code Metal marks a milestone in the evolution of AI-driven secure system modernization. As the industry places increasing emphasis on trustworthy, verifiable AI, companies like Code Metal are pioneering solutions that will shape the future landscape of mission-critical infrastructure.

This momentum underscores that verifiable AI-powered code translation is becoming standard practice for securing and modernizing legacy systems, empowering organizations to modernize confidently—all while upholding the highest standards of security and compliance across critical sectors worldwide.