Code Metal Raises $36.5 Million Series A to Expand AI-Powered Verifiable Code Platform
Code Metal, an artificial intelligence and developer tooling startup focused on verifiable AI-powered code translation and edge computing workflows, has announced substantial funding that underscores investor confidence in its mission to transform software development for mission-critical industries. In November 2025, the company closed a $36.5 million Series A funding round, marking a significant step in its growth and positioning it to accelerate commercial deployments across sectors with strict safety and regulatory requirements.
The $36.5 million Series A was led by Accel, a global venture capital firm known for backing category-defining technology companies. Joining the round were a host of strategic and venture investors, including RTX Ventures, Bosch Ventures, Smith Point Capital, Overmatch VC, and AE Ventures. The financing also saw continued support from existing backers Shield Capital, J2 Ventures, and Fulcrum Venture Group, along with participation by individual investors from technology, defense, telecommunications, and entrepreneurship.
Founded in 2023 by CEO Peter Morales and fellow technology veterans, Code Metal’s platform addresses one of the toughest challenges in software engineering: reliably translating high-level code into optimized, hardware-ready software that meets strict safety, performance, and regulatory standards. The company combines formal methods — mathematical techniques that ensure correctness — with modern AI and large language models to produce verifiably correct code for deployment on edge devices, autonomous systems, robotics, defense platforms, and other safety-critical embedded systems.
The Series A round builds on earlier financing that helped establish the company’s technology and market traction. In 2024, Code Metal raised approximately $16.5 million in seed funding, including a $13 million seed round led by Shield Capital and a $3.45 million pre-seed investment led by J2 Ventures, along with Fulcrum Venture Group, Underdog Labs, and other early-stage backers. These funds supported product development, engineering hiring, and the expansion of Code Metal’s early customer base, particularly in edge computing and industrial automation.
With the Series A capital, Code Metal plans to accelerate deployment of its platform across industries where code correctness, portability, and performance are critical. Its automated code translation solutions are already being used by customers in defense, automotive, and semiconductor sectors, helping engineers modernize legacy codebases, enable rapid feature delivery, and ensure compliance with rigorous safety standards. Code Metal’s technology reduces the bottlenecks traditionally associated with manual software rewriting and optimization, compressing timelines that once took months into days.
Investors highlighted the strategic importance of Code Metal’s approach. Representatives from Bosch Ventures emphasized how the platform aligns with broader trends in industrial automation and software reliability, while Shield Capital’s continued participation reflected strong confidence in both the technology and the leadership team’s ability to drive adoption in complex, high-barrier markets.
In addition to expanding its team and product development, Code Metal will use the funding to support broader commercial rollout and deepen engagements with enterprise customers that require provably correct code for mission-critical applications. By combining formal verification with AI-powered automation, the company differentiates itself from traditional code generation tools and positions itself for long-term impact in sectors where precision and trustworthiness are essential.
As AI-driven software development evolves, Code Metal’s funding and technological progress highlight investor interest in tools that address both the speed and safety challenges of modern engineering. With robust financial backing and a growing portfolio of enterprise use cases, Code Metal is poised to expand its role at the intersection of AI, software engineering, and safety-critical systems — driving faster, more reliable software development for industries where the cost of error is high, and innovation cycles are accelerating.
