The startup offers an AI-powered automated development platform that translates high-level code into deployable software, streamlining the software development process. Its code chat platform enhances developer productivity by providing context-aware coding suggestions and answering technical questions, enabling faster application development and deployment.
Funding
$16.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying applications for edge devices is complex, often requiring specialized knowledge across multiple domains, including software development, hardware engineering, and algorithm optimization. Traditional edge development workflows involve fragmented teams, manual code tweaks, and lengthy development cycles, hindering innovation and time-to-market. Furthermore, modernizing legacy codebases can be costly and time-consuming, with risks of downtime and compliance issues.
Solution
Code Metal offers an AI-powered platform that automates the translation of high-level code (Python, Julia, MATLAB) into optimized, deployable code for various edge devices and hardware platforms. The platform streamlines edge development by unifying workflows, automating optimizations, and integrating team perspectives. It supports multiple coding languages and embedded systems, enabling developers to write code in their preferred language and deploy it to multiple target platforms. Code Metal also provides solutions for code modernization, transforming legacy codebases into future-ready solutions with AI-powered precision, verifiable code generation, and integrated compliance testing.
Target Audience
Code Metal targets software developers, hardware engineers, and algorithm specialists involved in edge computing, as well as organizations looking to modernize legacy codebases or deploy AI-driven solutions on edge devices across diverse sectors like logistics, manufacturing, defense, automotive, and telecommunications.
Features
- AI-powered automated code translation and verification for edge deployments
- Support for multiple high-level languages (Python, Julia, MATLAB) and legacy coding languages
- Automated edge deployment with optimized code tailored for target hardware
- Verifiable code generation tools to transform reference code into verified code
- Integrated unit testing to compare source code to target outputs
- Code modernization capabilities with AI-powered precision and compliance verification
- Turnkey hardware and software platform pre-configured for seamless deployment of AI solutions
- Support for various CPU architectures (x86, ARM/RISC) and accelerators (GPUs, FPGAs)
- Automated dependency tracking and identification of low-level language equivalents
- Customizable optimizers and the ability to define runtime constraints like memory usage