According to a recent LinkedIn post from Together AI, the company is launching a unified infrastructure offering for building real-time voice agents with the full speech-to-text, large language model, and text-to-speech pipeline running on a single cloud. The post highlights claimed end-to-end latency under 500 milliseconds and native hosting of Cartesia and Deepgram models on Together’s platform.
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The post suggests this setup is designed to let customers swap models across the stack without rebuilding integrations, while emphasizing zero data retention, SOC 2 Type II, HIPAA alignment, and dedicated data residency options for enterprises. For investors, this move points to Together AI targeting latency-sensitive, compliant voice applications, potentially expanding its addressable market in contact centers, digital assistants, and healthcare use cases.
If adopted, the unified stack could deepen customer lock-in by consolidating multiple AI services onto Together AI’s infrastructure and offering flexibility in model choice. It may also sharpen the firm’s competitive positioning against larger cloud providers and vertical AI vendors by combining performance, compliance, and multi-model capabilities in a single environment.