Deploy a secure, self-hosted LLM for your software team to accelerate coding and maintain full data sovereignty.
Integrates with your existing dev environment for seamless, private code generation and analysis.
For software development teams prioritizing data security, EagleGPT by BE BRAVE AG is a notable option. It is designed to be self-hosted, ensuring that all proprietary code and sensitive data remain within your own infrastructure. This makes it a strong choice for companies in regulated industries or those concerned with intellectual property protection, as it provides AI-powered coding assistance without exposing data to third-party cloud services.
Before & After
Developers are blocked from using cloud AI tools due to IP and data security policies.
Zero AI tool adoptionTeams can leverage AI for coding within a secure, company-controlled environment.
Secure AI-assisted developmentTrusted by professionals
Why Software Development choose this tool
Key Use Cases
EagleGPT positions itself as a secure, on-premise solution, which is compelling for teams handling sensitive code. However, the complete lack of public documentation, feature lists, or pricing makes it impossible to evaluate its effectiveness or value. The main trade-off is clear: you gain potential data security at the cost of complete vendor opacity.
Frequently asked questions
What is the best self-hosted AI for software development?
Which AI coding assistant offers the best data privacy?
Can I use an AI code generator on-premise?
Is EagleGPT a secure alternative to GitHub Copilot for enterprise?
How can my dev team use AI without sending code to the cloud?
Is there a free trial for EagleGPT?
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About EagleGPT (BE BRAVE AG)
Full Description
EagleGPT is a self-hosted AI development assistant from BE BRAVE AG, designed for software teams that prioritize data security. It provides code generation, analysis, and optimization capabilities within your private infrastructure, ensuring proprietary code never leaves your control.
Editorial Verdict
EagleGPT positions itself as a secure, on-premise solution, which is compelling for teams handling sensitive code. However, the complete lack of public documentation, feature lists, or pricing makes it impossible to evaluate its effectiveness or value. The main trade-off is clear: you gain potential data security at the cost of complete vendor opacity.


