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Speko

Speko is a routing and benchmarking platform for voice AI that connects various speech models through a unified API and provides performance data across multiple languages.

AudioLanguage-specific model performance…Managed LLM routing with balanced…Provider-direct streaming via local…Integration
Speko product interface screenshot
Estimated monthly visits
21K
Data period:
Listed on AIToolly

What Is Speko? Product Overview

What the product does and how it is positioned

Speko operates as a centralized infrastructure layer for voice AI applications, offering a hosted router that manages data flow between different speech-to-text (STT), large language model (LLM), and text-to-speech (TTS) providers. The platform is designed to simplify the integration of multiple AI models by providing a single API and typed contracts.

A core component of the service is its benchmarking suite, which tracks the accuracy and cost of various models language by language. This allows developers to identify which models perform best for specific linguistic requirements, addressing the fact that model performance often varies significantly outside of English.

What Can You Use Speko For?

Source-supported ways to use the product

Voice Agent Optimization

Developers can use the benchmarking matrix to select STT and TTS models that offer the best balance of Word Error Rate and cost for their target language.

Framework Integration

The platform can be used to run and observe voice workers within LiveKit or Pipecat environments using native gateway integrations.

How to Use Speko

The documented workflow, where available

  1. 1

    Model Selection

    Review the language-specific benchmarks to identify the most effective STT, LLM, and TTS models for the application's requirements.

  2. 2

    Gateway Configuration

    Integrate the Speko Gateway into a Python-based framework like LiveKit or Pipecat to handle provider-direct streaming.

  3. 3

    Routing Implementation

    Connect the voice agent to the hosted router using the provided API keys and configure routing objectives such as balanced performance.

Language-Specific Performance Benchmarking

Speko provides a detailed comparison of AI models across different languages to help developers navigate the variability in speech technology performance. The platform measures Word Error Rate (WER) and cost per minute for various stages of the voice AI pipeline, including speech-to-text and text-to-speech.

The benchmarking data highlights that no single model is the top performer across all languages. By visualizing these metrics, the platform enables users to make data-driven decisions when selecting providers for global applications where English-only benchmarks are insufficient.

  • Comparison of over 20 models including GPT-4o, Whisper-1, and Nova-3
  • Tracking of performance across languages such as Arabic, French, German, and Hindi
  • Analysis of cost-to-accuracy ratios for both real-time and batch processing

What to Test Before Choosing Speko

Checks to run with your own material and workflow

  • Verify if the required target language is currently covered by the benchmarking matrix.
  • Check the compatibility of the Speko Gateway with the specific version of LiveKit or Pipecat being used.
  • Review the OpenAPI and AsyncAPI documentation for custom integration requirements.
  • Confirm that the desired speech models are supported by the Speko Router's managed data plane.

Speko Sources and Last Checked

What was checked and when

Official source
https://speko.ai/
Last checked
Category
Audio

Speko Frequently Asked Questions

Answers based on the source-checked product record

What is the Speko Router?

The Speko Router is a hosted, provider-neutral data plane that manages STT, LLM, and TTS routing through typed contracts.

How does the Speko Gateway handle API credentials?

The Gateway supports local Bring Your Own Key (BYOK) credentials, allowing for provider-direct streaming without sharing keys with the hosted router.

Which frameworks have native integrations with Speko?

Speko provides native gateway services and integrations for the LiveKit and Pipecat frameworks, specifically for Python environments.

Can Speko be used with AI coding assistants?

Yes, Speko offers a Model Context Protocol (MCP) transport that allows it to be added to tools like Claude and Cursor.

Are all models benchmarked in every language?

No, some models are only measured in English, and the platform notes that their rank in other languages is currently unknown.

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