Code Metal

What Code Metal does

Code Metal provides verifiable code translation for industries where every line of code matters. It unites high-level reasoning with low-level verification to produce tested, optimized, and compliant code. The platform aims to make AI trustworthy by safely delivering the last mile for mission-critical industries, enabling development at the speed of AI with confidence in correctness. It helps engineering teams move across languages, architectures, and targets without changing critical behavior, allowing critical systems to adapt faster, operate more safely, and earn trust through proof.

Products

• Code Metal PlatformAn AI-powered platform for automated code translation and verification at the edge. It allows users to input high-level reference code (Python, Matlab, Julia), define their runtime environment (CPU, accelerators, resources, toolchains), and automatically generates a transpilation and deployment plan. It produces generated code in embedded C/C++, Rust, VHDL, Verilog, Cuda, HIP, or ONNX, optimized for memory, runtime performance, code size, or power consumption. It also tracks changes between generated and input code and integrates with standard IDEs and versioning tools.

Key capabilities

• Verifiable code translation
• AI-powered development at the edge
• Automated code translation and verification
• Support for Python, Matlab, Julia input code
• Plugin for IDEs
• Automatic tracking of module and library dependencies
• Identification of low-level language equivalents
• Transpilation and deployment plan generation
• Configurable edge environment (CPU: x86, ARM/RISC; GPUs: NVidia, AMD, Qualcomm; FPGAs: Xilinx, Altera, Actel)
• Specification of available resources (RAM, VRAM, cores, LEs)
• Integration with preferred toolchains (ROOm, ONNX, Vivado)
• Agentic workflow for plan generation and execution
• Output code in embedded C/C++, Rust, synthesizable VHDL/Verilog, Cuda, HIP, ONNX
• Optimization variants for memory, runtime performance, code size, power consumption
• Tracking changes between generated and input code
• Integration with standard IDEs for team collaboration and code versioning
• Detection of manual optimizations and suggestion of matching changes to input code
• Static analysis for codebase segmentation into verifiable components
• Configurable translation across entire repository
• Traceable translation plan generation
• Formal verification for safety standards
• Configurable compliance checks
• Single-source-of-truth codebase for deployment to any chip

Use cases

• Edge Development: Accelerating compliance and production readiness by translating modern Python research code into low-level, standards-compliant software for aerospace.
• Code Portability: Avoiding chip vendor lock-in and maintaining vehicle SKUs from a single source-of-truth codebase for automotive OEMs.
• Code Modernization: Modernizing code for memory safety and long-term maintainability, and porting products to customer-preferred platforms for improved competitiveness.

AI approach

Code Metal uses AI-powered development for verifiable code translation, enabling high-level reasoning with low-level verification to produce tested, optimized, and compliant code for mission-critical industries. Their platform automates code translation and verification, supporting various input languages and deployment targets.

Tech named: Artifical Intelligence, Large Language Models (LLM), Edge Processing, Embedded Systems, Code Generation, Compilers, AI Agents, formal verification, static analysis, agentic workflow

Industries served

• Industrial
• Automotive
• Semiconductor
• Defense
• Robotics
• Aerospace

What it says sets it apart

• Focus on provable AI for mission-critical systems where code cannot fail.
• Unites AI's generalization with program analysis's precision.
• Guarantees safety and compliance through formal verification and configurable checks.
• Enables deployment to any chip from a single-source-of-truth codebase.
• Reduces manual coding time by at least 80%, improving time-to-market.
• Generates easily readable code that conforms to coding standards.
• Integrates with existing developer workflows (IDEs, versioning tools).

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.