
Codee
Codee is a software solution that provides automated code inspection specifically designed to improve the performance of software. We are an innovative company whose mission is to accelerate the digitized world empowering businesses to develop fast and to improve the performance of software by processing more instructions and more data.
Date | Investors | Amount | Round |
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- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor investor | €0.0 | round | |
* | €1.2m Valuation: €25.0m 85.3x EV/Revenue | Seed | |
Total Funding | 000k |
EUR | 2016 | 2017 | 2018 | 2019 | 2020 | 2023 | 2024 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | (88 %) | 322 % | 102 % | 42 % | 45 % | - | 43 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | (1190 %) | (248 %) | (330 %) | (158 %) | (61 %) | - | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | (1341 %) | (316 %) | (380 %) | (194 %) | (70 %) | (243 %) | (169 %) |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Codee operates as a specialized, deep-tech entity focused on optimizing software for high-performance computing (HPC). The firm originated in 2012 as Appentra Solutions, a spin-off from the University of A Coruña, Spain, founded by Manuel Arenaz and Rosa Vázquez. Arenaz, who serves as CEO and CTO, leveraged over a decade of his research in advanced compiler technologies and automatic parallelization to address the increasing complexity of programming for high-performance hardware. His background includes a Ph.D. in Computer Science focused on advanced compiler techniques for automatic parallelization for multicore CPUs and GPUs. Vázquez acts as the company's CFO.
The company's core offering is an automated code inspection and testing platform that analyzes C, C++, and Fortran source code to enhance performance, correctness, and security. This static analysis tool operates early in the development lifecycle, identifying issues without executing the code, thereby saving developer time and reducing costs. The platform is designed for sectors where performance is critical, such as high-performance computing, automotive, medical, renewable energy, and consumer electronics. The business model appears to be subscription-based, with different tiers available, including a free version, a professional plan, and a team plan, each offering escalating levels of features and support. Revenue is generated by providing these tools to corporate and institutional clients globally.
Codee's platform provides deep code analysis to identify bugs, enforce coding standards, modernize legacy code, and address security vulnerabilities. A key feature is its ability to automatically fix detected issues, rewriting source code and adding annotations for CPU and GPU parallelization. The platform generates detailed reports that offer actionable insights for both developers and managers, helping to quantify technical debt and return on investment. By integrating into CI/CD workflows, Codee automates testing for every code change, which streamlines development and improves software quality. The company has secured approximately $7.29 million in funding over several rounds, with the latest being a Series A round in September 2023. This capital is being used to expand its customer base and further develop its platform to support more programming languages and hardware ecosystems like Arm and RISC-V.
Keywords: static code analysis, high-performance computing, code optimization, software modernization, C++, Fortran, parallel programming, DevSecOps, automated code inspection, software performance, compiler technologies, code correctness, legacy code, vulnerability detection, CI/CD integration, software development tools, GPU programming, multicore processing, embedded computing, code refactoring