Open source means our source code is publicly accessible for anyone to inspect, modify, and enhance. In the vibrant AI engineering community the only way to lead the forefront of AI adoption is to be the forefront, contributing to what AI-adopting companies desire the most — transparent, open, and reliable tools and framework.

Yes. Most open-source licenses (like MIT, Apache 2.0, or GPL) allow you to use the software for commercial purposes. You can build products, provide services, or run business operations using our code without paying licensing fees. We only ask that you adhere to the specific attribution requirements outlined in our license file.

Often, OSS is more secure than proprietary software. Because the code is public, a global community of “many eyes” can audit it for vulnerabilities. This transparency leads to faster identification and patching of security flaws. However, security also depends on you keeping your version up to date and following best practices for implementation.

Yes, OSS is typically free of licensing fees, but “free” means freedom to use, study, modify, and share rather than zero cost. Some open-source software supports paid services or enterprise versions. Commercial use is explicitly allowed in most cases.

Copyleft requires that derivative works remain open source under the same license, ensuring ongoing freedom. GPL is the classic copyleft license, preventing proprietary forks. It contrasts with permissive licenses like Apache 2.0.