Adronite Inc. today announced it has raised $5 million in early-stage funding to scale up its artificial intelligence codebase intelligence platform for software engineering.

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 the project level and can reason across millions of lines of code.

That’s important because the company noted that it’s not constrained by large language models’ context windows, which are traditionally a pain point when working with extremely large codebases — even if many LLMs are beginning to open up larger context windows toward a scale of a million tokens, which can cover around 50,000 lines of code on average.

“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 Adronite co-founder and Chief Executive Edward Rothschild.

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. That means a developer can prompt the system to build an app or pore over an 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 more than 20 languages, including C/C++, Python, JavaScript and Rust.

Adronite 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 Adronite Chair Liad Meidar.

The company said the Series A investment, led by Gatemore Capital Management, will support development for the product and scaling deployments for regulated and complex enterprise environments.

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