Deepgram

DeepgramSince 2021-06

Deepgram is an enterprise AI speech platform that provides world-class speech-to-text (STT), text-to-speech (TTS), and real-time voice agent APIs. Powered by end-to-end deep learning models like Nova-2 and Aura, Deepgram delivers industry-leading accuracy, sub-250ms latency, and high cost-efficiency for processing live conversational audio. Deepgram is the infrastructure backbone for next-generation conversational AI applications, customer service bots, meeting transcription engines, and autonomous voice agents. Its streaming WebSocket architecture allows models to transcribe noisy, multi-speaker phone audio in real time while simultaneously synthesizing natural, expressive voices with zero perceptible delay.

Deepgram replaced legacy heuristic speech pipelines with pure end-to-end deep learning neural networks trained on over 100,000 hours of diverse multi-lingual audio. Its Nova-2 STT model achieves lower Word Error Rates (WER) than traditional cloud providers while operating up to 40x faster and at a fraction of the cost. The platform offers specialized features including automatic language detection, smart formatting (punctuating numbers, dates, and acronyms), multichannel diarization, topic detection, and PII redaction. Deepgram also provides the Deepgram Voice Agent API, which bundles speech recognition, LLM reasoning, and ultra-low-latency voice synthesis into a single unified WebSocket connection.

LiveKit AgentsSince 2026-08

LiveKit Agents is an open-source real-time communication framework engineered to build conversational voice, video, and multimodal AI agents with sub-500ms latency. Leveraging WebRTC, it connects speech-to-text (Deepgram, Whisper), LLMs (OpenAI, Anthropic), and text-to-speech (Cartesia, ElevenLabs) in a tightly synchronized bidirectional stream. From customer service avatars to interactive language tutors and hands-free coding copilots, LiveKit Agents provides the enterprise infrastructure for real-time human-AI interaction.

Building real-time voice agents requires solving audio interruption, packet jitter, and latency stacking. LiveKit Agents abstracts these challenges with native Voice Activity Detection (VAD), turn-taking management, and edge-routed audio pipelines. Available in Python and Node.js with client SDKs across React, iOS, Android, and Flutter, LiveKit enables developers to self-host their agent backend or deploy onto LiveKit Cloud.