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.
Zekai Verdict
- What is it?
- EagleGPT is a self-hosted AI development assistant from BE BRAVE AG, designed for software teams that prioritize data security.
- Best for
- Best for development teams needing a self-hosted AI code assistant to ensure full data privacy and control.
- Not ideal for
- No public information on features, performance, or capabilities.
- Price
- Pricing on request
- Zekai Score
- 5.7/10
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 developmentPrompts for Developers
Trusted by professionals
Best EagleGPT (BE BRAVE AG) alternatives
EagleGPT vs. GitHub Copilot: The primary difference is the deployment model and data handling. GitHub Copilot is a cloud-based service, sending code snippets to Microsoft's servers for processing, which offers ease of use but raises data privacy concerns for some firms. EagleGPT is a self-hosted solution, requiring you to run it on your own infrastructure. Choose GitHub Copilot for maximum convenience and features if your security policy permits it. Choose EagleGPT if data sovereignty is non-negotiable and you have the resources to manage an on-premise deployment, as it ensures your code never leaves your network.
Is EagleGPT (BE BRAVE AG) worth it?
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?
Last reviewed:
EagleGPT (BE BRAVE AG) pricing and plans
Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.
Top 10 AI tools in this category
Take it with you
- Why Self-Hosted AI is Critical for IP Protection
- Key Considerations for On-Premise Deployment (Hardware & MLOps)
- Evaluating Secure AI Assistants: A Checklist
- Integrating AI Securely into Your Existing IDEs & Workflow
- Training Your Team to Use AI Assistants Responsibly
Get EagleGPT (BE BRAVE AG) deal alerts
Be the first to know when EagleGPT (BE BRAVE AG) drops a new discount, adds features, or changes pricing.
More on AI for Software Development
Latest AI news
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.
CSVBox
Cursor AI Code Editor
GitHub Copilot
n8n
Hugging Face
Mistral AI


