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Together AI Launches Voice Agent Platform With Sub-700ms Latency

What happened

Together Computer Inc launches unified voice agent platform.

Source

Article excerpt

Highlighted: the sentence this signal was extracted from

Together AI launches voice agent platform with sub-700ms latency. Together AI rolled out a unified voice agent platform that keeps speech-to-text, language models, and text-to-speech processing on the same infrastructure cluster. The $3.3 billion AI cloud startup claims the setup delivers end-to-end latency under 700 milliseconds - fast enough for natural conversation flow. The platform integrates natively with Deepgram for transcription and Cartesia for voice synthesis, both running on Together's co-located servers rather than bouncing audio across multiple cloud providers. Why co-location matters for voice. Most production voice systems stitch together separate vendors for each pipeline stage. Audio hits one provider for transcription, routes to another for the LLM response, then bounces to a third for speech synthesis. Each handoff adds network latency and failure points. Together's pitch: keep everything in the same datacenter. The company reports sub-500ms latency in optimal conditions, though the 700ms figure represents their stated ceiling for end-to-end processing. "Voice agents live or die by latency, and every network hop between providers is a place where the experience breaks down," said Abe Pursell, Deepgram's VP of Partnerships. Model flexibility without the patchwork. The platform supports Whisper Large v3, Minimax Speech 2.6 Turbo, Rime Arcana, and...

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Extracted by Autobound

From the Signal API record
Event
Launch

What this signalsA launch often needs new go-to-market and support spend.

Product
unified voice agent platform

The full record

From the Signal API record

Details

Category
Launches

Topics and mentions

Product tags

  • online technology
  • general technology

Extraction

Confidence
20%
Detected
Mar 13, 2026
signal_type
news
signal_subtype
launches

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This page shows a preview. The full news record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/8ef8ea55-ad90-4d43-bc22-8604e105f8b0 returns this record as JSON. POST /v1/companies/enrich returns every signal for together.ai.

{
  "signal_id": "8ef8ea55-ad90-4d43-bc22-8604e105f8b0",
  "signal_type": "news",
  "signal_subtype": "launches",
  "detected_at": "2026-03-13T01:57:45+00:00",
  "company": {
    "name": "Together AI",
    "domain": "together.ai"
  },
  "data": {
    "url": "https://asiatokenfund.com/together-ai-launches-voice-agent-platform-with-sub-700ms-latency",
    "title": "Together AI Launches Voice Agent Platform With Sub-700ms Latency",
    "excerpt": "Together AI launches voice agent platform with sub-700ms latency.\n\nTogether AI rolled out a unified voice agent platform that keeps speech-to-text, language models, and text-to-speech processing on the same infrastructure cluster. The $3.3 billion AI cloud startup claims the setup delivers end-to-end latency under 700 milliseconds - fast enough for natural conversation flow.\n\nThe platform integrates natively with Deepgram for transcription and Cartesia for voice synthesis, both running on Together's co-located servers rather than bouncing audio across multiple cloud providers.\n\nWhy co-location matters for voice.\n\nMost production voice systems stitch together separate vendors for each pipeline stage. Audio hits one provider for transcription, routes to another for the LLM response, then bounces to a third for speech synthesis. Each handoff adds network latency and failure points.\n\nTogether's pitch: keep everything in the same datacenter. The company reports sub-500ms latency in optimal conditions, though the 700ms figure represents their stated ceiling for end-to-end processing.\n\n\"Voice agents live or die by latency, and every network hop between providers is a place where the experience breaks down,\" said Abe Pursell, Deepgram's VP of Partnerships.\n\nModel flexibility without the patchwork.\n\nThe platform supports Whisper Large v3, Minimax Speech 2.6 Turbo, Rime Arcana, and...",
    "product": "unified voice agent platform",
    "summary": "Together Computer Inc launches unified voice agent platform.",
    "category": "launches",
    "found_at": "2026-03-13T01:57:45Z",
    "planning": false,
    "image_url": "https://i1.wp.com/image.blockchain.news:443/features/FCAF30107F93017A469BDB76DCCE7D957DFC034943E2204CF5967AAF05B60663.jpg",
    "confidence": 0.2044,
    "product_data": {
      "full_text": "unified voice agent platform",
      "fuzzy_match": true
    },
    "product_tags": [
      "online_technology",
      "general_technology"
    ],
    "published_at": "2026-03-13T01:57:45Z",
    "job_title_tags": [
      "general_technology"
    ],
    "article_sentence": "Together AI rolled out a unified voice agent platform that keeps speech-to-text, language models, and text-to-speech processing on the same infrastructure cluster."
  }
}

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