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Isometric wireframe illustration comparing VerticalAI and Synthflow

Compare · vs Synthflow

VerticalAI vs Synthflow

Both platforms offer no-code voice AI. VerticalAI differentiates with Australian infrastructure, semantic turn detection, and Claude-powered conversations.

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Side by side

How we compare

FeatureVerticalAISynthflow
LLMClaude Haiku/Sonnet/OpusGPT-based
Turn detectionSemantic EOT (Deepgram Flux)Silence-based VAD
TTSCartesia Sonic 3 (AU endpoint)Multiple providers
Response time~800msVariable
Australian hostingYes, all SydneyNo
Knowledge baseBuilt-in pgvector RAGYes

Our advantage

Why teams pick VerticalAI

  • Semantic turn detection

    Deepgram Flux detects end-of-turn by meaning, not silence. Conversations feel natural, not laggy.

  • Claude-powered

    Anthropic's Claude models for more nuanced, accurate conversations. Less hallucination.

  • Sydney infrastructure

    ~8ms to TTS server. All data stays in Australia, from phone pickup to database write.

FAQ

VerticalAI vs Synthflow: common questions

VerticalAI runs Anthropic's Claude models and uses Deepgram Flux semantic end-of-turn detection, and it hosts entirely in Sydney with an Australian text-to-speech endpoint. Synthflow is GPT-based and uses silence-based turn detection. For Australian businesses that want onshore hosting and natural turn-taking, VerticalAI is the closer fit.

VerticalAI detects the end of a caller's turn by meaning rather than by waiting for a silence gap, so the agent interrupts less and responds in around 800 milliseconds. Text-to-speech runs from an Australian endpoint about 8 milliseconds away.

VerticalAI runs Anthropic's Claude models (Haiku, Sonnet, and Opus). Synthflow is GPT-based.

Yes. From phone pickup to database write, VerticalAI keeps the call on Australian infrastructure in Sydney.

See for yourself

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