3 real-world examples of companies getting results from AI with voice ai: the numbers, the companies, and the tools behind each win. Updated daily.
Most-used tools here: NVIDIA NIM, Qatium, Avatia, AWS Trainium, Deepgram, Ground Truth app (Swing Left)
Three startups from the Barcelona Supercomputing Center's AI Factory Accelerator Programme have moved AI into production or deployment. Qatium uses its water-network AI in early production, OneCareAI built a tool using NVIDIA NIM to flag hidden atrial…
Deepgram, which builds speech-to-text, text-to-speech, and voice agent models, moved its workloads to AWS Trainium to run its voice AI at scale. The company now handles quadrillions of audio tokens a year for more than 200,000 developers and 1,400…
Swing Left's Ground Truth project has sent more than 3,000 volunteers to over 50 House districts in 23 states to hold open-ended "deep canvassing" conversations with voters of all leanings. Canvassers log voice-to-text recaps in an AI app, and organizers…