proprietary ai

An overview of how open-source and proprietary AI stack up. It weighs transparency, flexibility, and community-driven innovation against turnkey performance, integrated tooling, SLAs, and compliance. The piece frames choices around cost, security/data control, customization, scalability, speed to deploy, governance, and vendor lock-in—helping teams pick the model that fits their risk, budget, and roadmap.