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Quickstart
Get an agent up and running in a few minutes
Platform Overview
A deeper dive into the Vogent platform
Why Vogent
Instead of building this myself?
There are effective off-the-shelf solutions for many of the building blocks of voice agents, like live transcription engines, LLMs, and low-latency text-to-speech. Building an effective voice agent, though, involves a number of additional pieces:- Robust voice-activity detection (VAD) to detect when a user has finished speaking and when to start speaking
- Rigorously handling structured, large-context conversations like surveys
- Detecting and navigating IVR menus and phone trees
- Dealing with interruptions and overlapping speech
- Managing latency and response timing to feel natural
- Evaluating conversations for correctness and quality
- Surfacing issues from large corpuses of calls
- Experimenting with new configurations and backtesting on past conversations
Instead of using a different platform?
Voice AI is a growing space, and it’s exciting that there are different ways to build productive solutions; some may be better fits than others, based on your background and goals. With Vogent, we try to offer the best solution for creating rigorous, effective voice agents. Building a voice agent that wows on a demo is easy, but maintaining a voice agent that consistently produces results on millions of dials involves more sophisticated building blocks and a more transparent evaluation loop. In addition to table-stakes features for building and managing voice agents, Vogent provides features like:- IVR/phone-tree detection and navigation models
- In-house, ultra-low-latency voices
- In-house, ultra-low-latency LLMs tuned on millions of conversations
- Fine-tuning on call recordings and transcripts
- A survey-builder that uses multiple models to handle structured conversations accurately, regardless of the number of questions