Full-Time
Optimizes research code for edge deployment
No salary listed
No H1B Sponsorship
Boston, MA, USA
In Person
US Top Secret Clearance, UK Top Secret Clearance, UK Citizenship, US Citizenship, Canada Top Secret Clearance Required
CodeMetal.ai provides a SaaS platform that turns research code into optimized, edge-ready low-level code. It serves academia, defense, and tech sectors in AI and machine learning. Users upload code written in Python, Julia, or MATLAB, pick target deployment chipsets, and the platform automatically optimizes the code and adapts it to chosen runtimes, iteratively improving performance. This approach differentiates CodeMetal.ai by offering multi-language support, chipset-aware optimization, and runtime adaptation within a cloud-based service, enabling users to deploy efficient code on edge devices without manual low-level tuning. The company's goal is to help clients run more efficient AI/ML workloads on edge hardware by converting high-level research code into fast, platform-optimized implementations via subscriptions and usage-based pricing.
Company Size
51-200
Company Stage
Series B
Total Funding
$177.7M
Headquarters
Boston, Massachusetts
Founded
2023
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Health Insurance
401(k) Company Match
401(k) Retirement Plan
Unlimited Paid Time Off
Hybrid Work Options
Relocation Assistance
Verifiable Code Translation for Mission Critical Industries.
The week's 10 biggest funding rounds: World Labs leads another ai-heavy lineup. February 20, 2026 Want to keep track of the largest startup funding deals in 2025 with our curated list of $100 million-plus venture deals to U.S.-based companies? Check out The Crunchbase Megadeals Board. This is a weekly feature that runs down the week's top 10 announced funding rounds in the U.S. Check out last week's biggest funding deal roundup here. This week's largest U.S. funding rounds once again featured an AI-heavy cohort, along with sizable financings around fintech and energy tech. By far the largest deal was a $1 billion financing for World Labs, developer of AI models that interact with the 3D world, followed by a $385 million round for savings platform Vestwell. 1. World Labs, $1B, spatial AI: San Francisco-based World Labs, a startup founded by AI pioneer Fei-Fei Li that develops foundational models to generate and interact with the 3D world, raised $1 billion in fresh funding. Investors in the round include AMD, Autodesk, Emerson Collective, Fidelity, Nvidia and Sea. 2. Vestwell, $385M, fintech: Vestwell, an online provider of multiple types of savings accounts and tools, raised $385 million in Series E funding at a reported $2 billion valuation. Blue Owl Capital and Sixth Street Growth led the financing for the 10-year-old, New York-based company. 3. Temporal Technologies, $300M, workflow management and fault tolerance: Bellevue, Washington-based Temporal Technologies, a provider of tools that allow developers to make workflows more reliable and fault-tolerant, closed on $300 million in Series D funding. Andreessen Horowitz led the financing, which set a $5 billion valuation for the 7-year-old company. 4. Heron Power, $140M, energy tech: Heron Power, a developer of hardware designed to move electricity from renewable sources into the grid and data centers, picked up $140 million in a funding round backed by Andreessen Horowitz and Breakthrough Energy Ventures. The Scotts Valley, California-based company is founded by former Tesla SVP Drew Baglino. 5. Code Metal, $125M, AI coding: Code Metal, a provider of verifiable code translation tools, raised $125 million in Series B financing led by Salesforce Ventures . The round comes just three months after the Boston-based startup secured its Series A. 6. (tied) Render, $100M, cloud for developers: Render, a cloud provider for application development teams, secured $100 million in Series C extension funding. Georgian led the financing for the San Francisco-based company, which said it now has over 4.5 million developers on its platform. 6. (tied) Utility Global, $100M, clean energy: Houston-based Utility Global, developer of a technology to produce hydrogen and capturable carbon from industrial gases, raised $100 million in Series D funding. Ara Partners and APG Asset Management led the financing for the 8-year-old company. 6. (tied) ZaiNar, $100M, location tracking: ZaiNar, developer of a technology for wireless networks to sense the location of things without satellites, cameras or heavy compute power, emerged from stealth and disclosed that it has drawn over $100 million in investment to date and a valuation of over $1 billion. Backers in the Belmont, California-based company include Steve Jurvetson, Jerry Yang, Tom Gruber and Jaan Tallinn. 9. Jump, $80M, fintech: Salt Lake City-based Jump, developer of an AI agent for financial advisers and financial services providers, raised $80 million in a Series B round led by Insight Partners. 10. Braintrust, $80M, AI observability: San Francisco-based Braintrust, a developer of AI observability software for development teams, raised $80 million in a Series B round led by Iconiq Capital. Methodology. We tracked the largest announced rounds in the Crunchbase database that were raised by U.S.-based companies for the period of Feb. 14-20. Although most announced rounds are represented in the database, there could be a small time lag as some rounds are reported late in the week. * Salesforce Ventures is an investor in Crunchbase. They have no say in our editorial process. For more, head here. Stay up to date with recent funding rounds, acquisitions, and more with the Crunchbase Daily. February 19, 2026 Ownwell, an AI-powered startup that appeals property taxes on behalf of homeowners, has secured $50 million in financing, including $30 million in... February 19, 2026 Historically, many of the most transformative companies went public early and built the majority of their value under the discipline and funding of... February 19, 2026 The investors backing the hottest companies in today's highly competitive venture capital market have changed drastically since the 2021 funding... February 18, 2026 Over 127,000 workers at U.S.-based tech companies were laid off in mass job cuts in 2025, per a Crunchbase News tally, and the layoffs have continued... April 3, 2025 Discover and act on private market opportunities with predictive company intelligence.
Our investment in Code Metal.
Code Metal secures $125M Series B at $1.25B valuation to bridge the trust gap in AI code generation. New funding, the appointment of President and COO Ryan Aytay, and rapidly expanding contracts position Code Metal as one of the fastest-growing software defense technology companies BOSTON-(BUSINESS WIRE)-Code Metal, the leader in verifiable code translation for mission-critical industries, today announced the close of its $125 million Series B financing led by Salesforce Ventures with participation from Accel, B Capital, Smith Point Capital, J2 Ventures, Shield Capital, Overmatch, RTX, and others. The company also announced that Ryan Aytay, former CEO of Tableau, has joined Code Metal as President and Chief Operating Officer. This new round comes just months after Code Metal's Series A, underscoring the company's rapid growth and the urgency with which defense and other regulated industries are moving to adopt verifiable AI capabilities. With its technology already deployed across defense, automotive, semiconductor, and other mission-critical industries, Code Metal is among the fastest-growing defense technology companies, as measured by revenue growth, contract scale, and the pace of adoption among top-tier government and enterprise customers. The funding will be used to add engineering capacity, accelerate product development, expand commercial and government partnerships, and scale Code Metal's go-to-market capabilities. Customers, including Toshiba, RTX, L3Harris, and the U.S. Air Force, use Code Metal to move between programming languages and optimize software for hardware at unprecedented speed. Today, generating code with AI alone is not sufficient for mission-critical industries where compliance, safety, accuracy, and performance are a priority. Code Metal's unique approach enables customers to translate and optimize code for any environment while also ensuring the code is verified, validated, and production-ready. "AI code generation has hit an inflection point: mission-critical industries cannot deploy what they cannot verify," said Rob Keith, Partner at Salesforce Ventures. "Code Metal's neuro-symbolic approach solves this by mathematically proving code is correct. The unprecedented adoption velocity drove our decision to lead the round; in just one year, demand has pulled Code Metal into programs of record across the U.S. Air Force, L3Harris, and more. Salesforce Ventures brings deep experience scaling enterprise platforms, and we are proud to back the team building the load-bearing infrastructure for this ecosystem." "This new funding round marks an important milestone for Code Metal and validates our mission to close the trust gap in AI-generated code," said Peter Morales, founder and CEO of Code Metal. "AI can generate code at unprecedented speed, but in mission-critical environments, speed without proof is not enough; we are building the infrastructure that ensures software can be trusted before deployment, and with Salesforce Ventures' partnership and Ryan's firsthand expertise with these customers, we are scaling with the operational excellence this market demands." Aytay brings decades of experience building and scaling enterprise technology businesses. He served as CEO of Tableau and spent many years at Salesforce in senior leadership roles, helping to grow and operate one of the world's most successful enterprise software companies. In his new role, Aytay will focus on scaling Code Metal's operations, commercial execution, and partnerships in close collaboration with Morales and the leadership team, with a particular emphasis on deepening relationships across defense, automotive, and other mission-critical industries. "I'm excited to join Code Metal at such an important moment for the company and for the industry," said Ryan Aytay, President and COO of Code Metal. "AI is changing how code is built, but in mission-critical environments, the standard has to be higher than simply generating code. Code Metal is the leader in trusted verification and validation of AI-generated and legacy code, and its adoption among some of the most critical industries worldwide shows that this approach is already reshaping the software defense landscape. I'm looking forward to partnering with Peter and the team to scale the business." "AI has transformed how software is written, but code portability and translation remain challenging," said Yan-David Erlich, General Partner at B Capital. "We've been impressed by Code Metal's strong traction, particularly in helping defense customers develop and deploy on edge devices in safety-critical settings, and we're excited to back this excellent team as they scale." ABOUT CODE METAL Code Metal provides verifiable code translation and optimization of AI-driven and legacy code across any development environment. As compute shifts toward specialized hardware and edge environments, Code Metal's approach enables teams to improve portability and performance while maintaining the correctness required for production-ready deployment. Additional details about Code Metal and its platform are available at codemetal.ai.
Code Metal, a Boston-based startup using AI to write and translate code across programming languages, has raised $125 million in Series B funding. The round follows a $36 million Series A led by Accel just months earlier. Founded in 2023, Code Metal focuses on code translation and verification for the defence industry, with early customers including L3Harris, RTX and the US Air Force. The company also works with Toshiba and is in discussions with a major chip manufacturer. The platform translates code from high-level languages like Python and C++ to lower-level languages such as Rust and Nvidia's CUDA. CEO Peter Morales, formerly of Microsoft and MIT Lincoln Laboratory, says the technology addresses the challenge of porting legacy code into new applications, particularly when agencies lack engineers specialised in modern programming languages.