NUA COMPUTING

The industry is currently stuck in binary debates: Local vs. Cloud, Open vs. Closed, or even AI vs. not-AI. But the reality is somewhere in between. It’s hybrid.

Just because we can run a model locally today doesn’t make it useful for general folks; raw inference isn't a useful product for many. The goal here is to bridge the gap between “here’s an open model you can run on expensive hardware" and “here’s how we can do more with existing devices."

Even though model capabilities keep getting better for the edge, edge-first hybrid intelligence today is missing the core engineering foundations that’d make it useful and reliable: optimized runtimes, tooling for orchestration, privacy-preserving on-device personalization, and then of course seamless interactions.

True multimodal interactions require moving beyond chatbots and text prompts. While the industry considers basic screenshots or voice APIs to be "multimodal," the key is to explore new HCI primitives that feel seamless, context-aware, and native. Some of these explorations won’t work (and that’s fine), but some interactions feel long-overdue, with or without an AI behind them.

Nua is an AI engineering and product lab, but ultimately the goal at Nua is to build useful technology and products rather than slapping AI on a product for the sake of AI.