Code Metal
Code Metal helps engineers translate code once, deploy everywhere with verified accuracy.
Code Metal is an AI-powered development platform that automatically translates high-level research code (Python, Julia, MATLAB) into optimized, production-ready code for any hardware target (CPUs, GPUs, FPGAs). It uses formal methods to mathematically verify translation accuracy, ensuring compliance and correctness for mission-critical systems. The platform enables engineers to write once and deploy across multiple languages and hardware platforms while maintaining code safety guarantees that LLMs alone cannot provide.
Problem solved
Engineering teams spend months manually rewriting and verifying code translations across languages and hardware targets, slowing time-to-market and introducing compliance risks in regulated industries.
Target customer
Defense contractors, aerospace companies, automotive OEMs, and consumer electronics manufacturers with mission-critical systems requiring formal verification and multi-platform deployment
Founders
P
Peter Morales
CEO and Founder
AI research scientist with a decade of experience at MIT Lincoln Laboratory and BAE Systems, specializing in optimizing machine learning algorithms for defense applications including F-35 radar systems.
A
Alex Showalter-Bucher
Co-founder, SVP of Technology
Spent a decade at MIT Lincoln Laboratory working on automation and robotics projects with the Navy, Army, and Department of Homeland Security.
R
Ryan Aytay
President and Chief Operating Officer
Former CEO of Tableau, joined Code Metal in February 2026 to lead operations and scaling.
Funding history
Seed
Undisclosed
December 2023
Led by J2 Ventures
· Unknown
Series A
$36.5M
November 2025
Led by Accel
· RTX Ventures, Bosch Ventures, Smith Point Capital, Overmatch VC, AE Ventures, Shield Capital, J2 Ventures, Fulcrum Venture Group
Series B
$125M
February 2026
Led by Salesforce Ventures
· Accel, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX
Total raised:
$184M
Pricing
Subscription-based pricing model with enterprise/custom pricing based on user count and hardware support. No publicly detailed pricing tiers available.
Notable customers
U.S. Air Force, Toshiba, RTX, L3Harris, top 5 global automotive OEM, top aerospace company, consumer electronics companies
Tech stack
jQuery (JavaScript libraries)
core-js (JavaScript libraries)
Open Graph logo Open Graph
Webflow Ecommerce (Ecommerce)
Google Analytics (Analytics)
HSTS (Security)
Google Workspace (Email)
Cloudflare (CDN)
Webflow (Page builders)
Sendgrid (Email)
Workable (Recruitment & staffing)
Website
Competitors
Sonar
Focuses on code review and static analysis rather than formal verification-backed code translation for mission-critical systems.
Semgrep
Primarily a code scanning and analysis tool without formal verification or cross-language translation capabilities.
CodeRabbit
Focuses on automated code review rather than verified code translation and multi-platform deployment.
Cursor/Claude Code
LLM-based vibe-coding tools for writing new code without formal verification guarantees required for regulated industries.
Why this matters: Code Metal combines founder pedigree from MIT Lincoln Lab and BAE Systems with $184M in elite backing (Salesforce Ventures, Accel, RTX) and claims to be profitable within 2-3 years of founding. The company is addressing a massive TAM in defense, aerospace, and automotive by solving the code translation problem with formal verification—a capability no pure LLM can match.
Best for: Defense, aerospace, automotive, and regulated industries needing to modernize code, avoid vendor lock-in, and deploy across multiple hardware platforms with formal verification guarantees.
Use cases
Aerospace Compliance Acceleration
A top aerospace company uses Code Metal to translate modern Python research code into standards-compliant, low-level software, accelerating compliance and production readiness. Traditional manual translation would take months; Code Metal's formal verification ensures regulatory requirements are met.
Automotive Multi-SKU Fleet Management
A top 5 global automotive OEM maintains an entire fleet of vehicle variants from a single source-of-truth Python codebase, automatically translating to different hardware platforms. This eliminates chip vendor lock-in and reduces development cycles for new models.
Code Modernization with Memory Safety
L3Harris modernizes legacy code across multiple business units by translating to memory-safe languages and porting products to customer-preferred platforms, improving long-term maintainability and competitive advantage without manual rewrites.
Alternatives
Manual Code Translation
Traditional approach requiring months of engineer time; higher risk of errors and compliance issues; no formal verification.
LLM-Based Code Generation
Faster than manual work but lacks formal verification guarantees required for mission-critical systems in regulated industries.
Domain-Specific Compilers
Limited to specific hardware or language pairs; Code Metal is hardware and language-agnostic with unified formal verification.
FAQ
What does Code Metal do? +
Code Metal automatically translates high-level research code (Python, Julia, MATLAB) into optimized, production-ready code for any hardware target (CPUs, GPUs, FPGAs). It uses formal methods to mathematically verify that translated code is accurate, compliant, and performs as expected—providing guarantees that AI alone cannot offer.
How much does Code Metal cost? +
Code Metal uses enterprise/custom pricing based on user count and hardware support. Exact pricing tiers are not publicly available; contact the company for a quote tailored to your deployment scale.
What are alternatives to Code Metal? +
Alternatives include manual code translation (slow, error-prone), LLM-based tools like Cursor or Claude Code (fast but unverified), static analysis tools like Sonar or Semgrep (analysis-focused, not translation), and domain-specific compilers (limited to specific hardware/language pairs).
Who uses Code Metal? +
Defense contractors, aerospace companies, automotive OEMs, and consumer electronics manufacturers requiring mission-critical systems. Named customers include the U.S. Air Force, L3Harris, RTX, and Toshiba.
How does Code Metal compare to LLM-based code generation tools? +
LLM-based tools like Claude Code or Cursor are faster for writing new code but cannot guarantee correctness or compliance. Code Metal's formal verification approach provides mathematical certainty that translated code is accurate—critical for regulated industries like defense and aerospace where failures are unacceptable.
Tags
code translation
formal verification
AI
multi-platform deployment
aerospace
defense
code modernization
hardware-agnostic
compliance
production-ready code