Mercury released Mercury Voice for general availability to enterprise customers, positioning it as a diffusion LLM tuned for low-latency voice agents. Mercury Voice returned its first answer token in under 320 ms median on real customer-service prompts. It targets a sub-500 ms time-to-first-answer budget for natural conversation while offering set pricing ($0.40/M input and $1.50/M output) and an OpenAI-compatible enterprise API endpoint.
HireKey launched as a recruiter-informed AI job-search co-pilot for tech applicants. It offers practice with an interactive AI voice coach and real-time interview feedback. Applicants can assess role fit, tailor resumes, and track applications with more targeted interview coaching than basic ATS tools.
Microsoft released MAI-Transcribe-2-Streaming along with two new text-to-speech models to help developers build faster, more natural voice agents with live transcription. MAI-Transcribe-2-Streaming costs 54 cents per audio hour and begins returning transcript hypotheses within 320 milliseconds on average. The update shifts voice-agent development toward streaming captions and earlier processing while letting builders trade off latency and cost via the separate transcription and speech models.
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