Adronite Raises $5M to Help Enterprises Decode Complex Codebases With AI Platform

Seattle startup Adronite raises $5M to help enterprises understand their codebases

Seattle startup Adronite raised $5 million in a Series A round led by Gatemore Capital Management, as it looks to expand its AI-powered platform designed to give large organizations visibility into sprawling and complex codebases. The funding comes amid intense competition in the AI developer tools market. Unlike many AI coding tools that operate at the level of individual files or snippets, Adronite ingests complete codebases, including both modern and legacy systems. The idea is to help organizations understand how their software works as a system, with applications in security analysis, modernization, and active remediation at scale. Adronite can also build apps from natural language prompts and offers an AI chat feature that provides details on system-wide insights. The system supports more than 20 programming languages and has been proven on a codebase with 2.5 million lines of code. The 15-person company expects initial commercial deployments to begin in the first quarter of 2026. There are various companies that offer code review tools, including CAST and Sonar. Adronite says its software differentiates in part due to its private network settings, as it can run entirely inside a secured internal environment. Adronite co-founder and CEO Edward Rothschild is a former software engineer at Facebook and director of engineering at Nayya. He helped launch Adronite in 2023. As part of the funding round, Liad Meidar, managing partner of Gatemore, was named chair of Adronite's board. Gatemore has offices in New York and London.

AI-powered software intelligence platform Adronite raises $5M - SiliconANGLE

AI-powered software intelligence platform Adronite raises $5M Adronite Inc., the developer of an artificial intelligence codebase intelligence platform for software engineering, today announced it raised $5 million in Series A funding led by Gatemore Capital Management to scale its product. At its core, Adronite promises the capability to ingest codebases of any size into its context-understanding engine to provide intelligence and insights. The company says, unlike conventional tools that operate on the level of individual files, snippets or isolated vulnerabilities, it works at project-level and can reason across millions of lines of code. This is important as the company noted that it is not constrained by context windows, which are traditionally a pain point when working with extremely large codebases. Although, many LLMs are beginning to open up larger context windows towards a scale of a million tokens, which can cover around 50,000 lines of code on average (depending on density). "Software systems at large organizations are expanding rapidly in both scale and complexity, making a full-system view difficult to attain -- let alone to implement changes safely and effectively," said Edward Rothschild, chief executive and co-founder. The platform itself is large language model-agnostic; developers can bring their own LLM or deployment and start from scratch or bring their own codebase. This means a developer can prompt the system to build an app or pore over an already existing project and immediately get started. Adronite combines a number of different tools, including comprehensive reports on code quality and security. Users can receive code mapping of dependencies, data flow analysis and security frameworks to better understand how the code works together, identify vulnerabilities and remedy them. The solution also integrates with popular continuous integration and deployment pipelines. For users used to vibe coding or Copilot-style operations, it features a method for exploration. Users can open up a dialogue with AI chat, allowing them to discover system-wide insights just by talking to an internal AI that can see the entire codebase and "talk" to their code. This can be done within an independent code editor, where the coding is done, or for exploration and insights inside the platform. The company said the platform has near universal support for popular programming languages, covering over 20 languages including C/C++, Python, JavaScript, Rust and more. Adronite also stressed that its focus on security goes deeper than its discovery and mapping. It also provides privacy-first deployment with the ability to bring it into private clouds or launch fully on-premises to operate locally without fear of data leaks. "Adronite's codebase-level intelligence, combined with its security-first deployment model, positions the company to become foundational infrastructure for some of the world's largest and most complex software environments," said Liad Meidar, chair of the board of Adronite. The company said the current investment will support development for the product and scaling deployments for regulated and complex enterprise environments.