Powering Enterprise AI Applications with Data and Open Source Software
Proprietary data is the primary value in AI, and managing complex data is essential for deploying production AI systems across inference, data, and workflows.
What you actually need to build and ship AI-powered apps in 2025 - LogRocket Blog
Production-grade AI requires a unified four-layer stack—compute and foundational models, data infrastructure, tooling, and deployment—to simplify complexity and scale reliably.
Fenic is a PySpark-inspired DataFrame that transforms structured and unstructured data into scalable, production-ready AI and agentic applications, simplifying AI infrastructure complexity.