California startup Subtle Computing has developed a compact, low‑latency voice‑isolation model that dramatically improves speech recognition for AI applications in noisy settings. By tailoring models to specific device acoustics and preserving user voice characteristics, the company claims an order‑of‑magnitude performance gain over generic solutions. The technology runs on devices with just a few megabytes of memory and 100 ms latency, and it has earned a spot in Qualcomm’s voice and music extension program. Backed by $6 million in seed funding, Subtle Computing is positioning itself as a key enabler for consumer, automotive, and hardware partners seeking reliable voice AI experiences. Leia mais →