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AI Voice Agents That Handle Real Conversations

Powered by Hecttor Orpheus SDK, delivering clean, structured audio for real-time voice AI systems.

  • Real-time conversational processing
  • Accurate speaker handling
  • Works with any Voice AI stack
Voice AI Agents
50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic50K+ Agents1B+ Monthly MinutesOn-Device ProcessingEnterprise ReadyReal-Time Voice ClarityNo Infrastructure ChangesSOC 2 Type IILanguage Agnostic

Voice AI Agents Fail Before the Model Even Starts

Most systems struggle not because of models, but because conversations are not properly structured:

  • Multiple speakers overlap and confuse ASR
  • Noise and silence trigger false activations
  • Poor timing breaks natural interaction
  • Unstable input leads to unreliable outputs
When the conversation layer breaks, everything downstream fails.
Communication Platforms

THE HECTTOR PROCESSING LAYER FOR VOICE AI AGENTS

Orpheus SDK combines three real-time modules to prepare audio before it reaches ASR.

Orpheus SDK

Voice Isolation & Noise Cancellation

  • Clean signal per speaker
  • Separates individual speakers into distinct audio streams
  • Removes background noise and secondary voices
Voice Isolation & Noise Cancellation

Orpheus SDK

Turn-Taking Model

  • Real-time conversation timing
  • Detects when a speaker is finishing or continuing
  • Enables agents to respond at the right moment
Turn-Taking Model

Orpheus SDK

Voice Activity Detection (VAD)

  • Precise speech detection
  • Identifies when speech starts and stops
  • Reduces false triggers and improves responsiveness
Voice Activity Detection (VAD)

We noticed a meaningful drop in WER after integrating Orpheus. The difference in transcription accuracy was noticeable, especially on noisy audio.

Shrey Bansal

Founder/CEO at JobsUPI

Built for Real-World Voice AI Agents

Most solutions focus on audio quality. Orpheus SDK focuses on conversation structure: this is where real Voice AI systems actually fail.

Real-Time by Design

Processes audio instantly, enabling live conversations without delay or post-processing behind.

Handles Real-World Conditions

Handles overlapping speech, interruptions, and unpredictable user behavior.

No Changes to Your Stack

Integrates directly with your existing ASR, LLM, and communication platforms.

Built for the Audio Processing Layer

Goes beyond noise reduction to control timing, speaker separation, and interaction flow.

Powered by Orpheus SDK

All capabilities are delivered through Orpheus SDK, a real-time voice processing layer designed for seamless integration into Voice AI systems.

  • Works with any ASR (Deepgram, Whisper, Google, etc.)
  • Compatible with any LLM or voice agent stack
  • No changes required to your downstream systems
  • Privacy-first architecture with no audio storage or transmission
Explore Orpheus SDK
Powered by Orpheus SDK

FREQUENTLY ASKED QUESTIONS

What types of Voice AI systems is this built for?

Orpheus SDK is designed for real-time voice agents, conversational AI systems, and any application where accurate, stable voice interaction matters.

Does this work in real time?

Yes. Orpheus SDK processes audio in real time, enabling live conversations without delays or post-processing.

Do I need to change my existing Voice AI stack?

No. Orpheus SDK integrates directly into your pipeline and works with your existing ASR, LLM, and voice infrastructure without requiring changes.

How is audio data handled and secured?

Audio is processed in real time in memory, with no storage or external transmission. Orpheus SDK is built with a privacy-first architecture, ensuring that all conversation data stays secure and within your infrastructure.

How does this improve Voice AI performance?

Orpheus SDK improves how audio is structured before it reaches your AI systems, leading to more accurate transcription, better speaker handling, and more stable real-time interactions.

Build Voice AI That Handles Real Conversations