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DecagonAI cuts voice agent costs 6x with Together AI and open models

By PulseAugur Editorial · [1 sources] ·

DecagonAI has significantly reduced the cost of its voice agent by nearly sixfold by migrating from closed models to fine-tuned open-source models hosted on Together AI. This transition maintained low latency for real-time voice interactions, achieving under 400ms p95 model latency per turn. The optimization involved custom speculators, prompt caching, and deployment on NVIDIA Blackwell hardware, enabling frequent model updates. AI

IMPACT Demonstrates significant cost efficiencies and performance gains achievable by migrating from proprietary to fine-tuned open-source models for specialized applications.

RANK_REASON This is a case study of a company using AI infrastructure to improve its product, not a release of a new frontier model or core research.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

DecagonAI cuts voice agent costs 6x with Together AI and open models

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
This is a case study of a company using AI infrastructure to improve its product, not a release of a new frontier model or core research.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
70 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    .@DecagonAI cut voice agent cost per turn nearly 6x with Together AI.

    .@DecagonAI cut voice agent cost per turn nearly 6x with Together AI. They moved from closed models to fine-tuned open models, while keeping latency low enough for real-time voice: → &lt;400ms p95 model latency per turn → custom speculators and prompt caching → optimized

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