I will engineer a custom ai voice assistant application


About this gig
️ Next-Generation AI Voice Agents by Celeris Labs
Text-based chatbots are standard, but voice AI is the future. Celeris Labs engineers highly responsive, ultra-realistic conversational voice agents that can speak to your users on the web, or even make and receive actual phone calls.
What We Build:
- Web-Based Voice Assistants: Interactive AI agents for your website using OpenAI Whisper (Speech-to-Text) and advanced LLMs.
- ElevenLabs Integration & Voice Cloning: We don't use robotic voices. We integrate ElevenLabs API for human-like inflection, emotion, and custom voice cloning for your brand.
- AI Phone Call Systems: We integrate with Twilio or Vapi so your AI agent can take inbound customer service calls or make outbound appointment-booking calls.
- Seamless Interruption Handling: We build agents that stop talking and listen when the user interrupts them, mimicking natural human conversation.
The Tech Stack:
We deploy using Python, FastAPI, LangChain, Whisper, and ElevenLabs/Twilio, ensuring the audio streams with absolute minimal latency.
Message us before ordering so we can discuss your specific use case and audio requirements!
Get to know Celeris
Custom AI Solutions and Full Stack Engineering
- FromIndia
- Member sinceApr 2026
Languages
Tamil, English
Other AI Development Services I Offer
FAQ
Can you clone a specific voice for my AI agent?
Yes. If you provide a clean, high-quality audio sample (at least 1-2 minutes with no background noise), we can use ElevenLabs to clone that specific voice for your application.
Can the AI agent actually call my customers on their phones?
Yes! For the Premium package, we integrate the AI with telecom APIs like Twilio. This allows the bot to make outbound calls or receive inbound calls using a dedicated phone number.
What about lag/latency? Will there be an awkward pause before the AI speaks?
We heavily optimize for latency. By using FastAPI and streaming audio chunks directly from the provider (like ElevenLabs) instead of waiting for the full sentence to generate, we keep response times as close to human-level as possible.

