Your call centre is handling the same 10 questions 500 times a day?
You can't scale your phone-based service without hiring more agents?"
Voice AI Development Services
Voice AI has crossed the line from novelty to production. AI voice agents now handle customer calls, conduct interviews, screen candidates, and manage inbound service queries -- with response quality that's indistinguishable from a human agent on most routine tasks.
We've built voice AI products using ElevenLabs, Twilio, and OpenAI Realtime API. We know what works in production -- the latency requirements, the fallback logic, the handoff design -- not just what works in a demo.
Real-time voice AI with sub-second latency using OpenAI Realtime API and ElevenLabs
Inbound and outbound call handling with Twilio and VAPI
Human handoff design, call recording, and transcript analysis
Voice AI products shipped for HR interviews, customer support, and hospitality
RaftLabs builds production voice AI products — inbound and outbound AI voice agents for customer support automation, HR phone screening, and service call handling. We use ElevenLabs for voice synthesis, OpenAI Realtime API for conversational intelligence, and Twilio/VAPI for telephony. Every voice AI system includes human handoff logic, call recording, transcript analysis, and sub-second response latency engineered for real-world use.
Voice AI is ready for production
The voice AI products deployed in 2023 were impressive demos. The ones deployed in 2025 are handling real call volumes -- thousands of calls a week -- with accuracy rates and customer satisfaction scores that match or exceed human agents on routine tasks.
The technology worked. The gap was in the product design: the conversation architecture, the failure handling, the human escalation logic, and the integration with the systems behind the call. Those are product and engineering problems, not AI problems.
We've shipped voice AI products for HR interview automation, customer service, and hospitality. We've seen what breaks voice AI in production and we build around it.
What we build
Inbound voice AI agents
Voice agents that handle inbound calls -- customer service, appointment scheduling, order status, account queries. The agent understands what the caller needs, answers from your knowledge base, and escalates to a human when the query is outside its scope. Call volume handled without adding headcount.
Outbound voice AI
Automated outbound calling for appointment reminders, lead qualification, survey collection, payment reminders, and service follow-up. The agent initiates the call, delivers the message, handles responses, and logs outcomes in your CRM. Scale your outbound operations without a call centre.
Voice AI for HR and interviews
AI-conducted phone screens and structured interviews. The agent asks the defined questions, captures responses, scores against your criteria, and produces a transcript and summary. We've built voice AI interview tools that reduce time-to-hire for high-volume recruitment. Human interviewers focus on the candidates who make it through the screen.
IVR modernisation
Replace legacy interactive voice response menus (press 1 for sales, press 2 for support) with conversational AI that understands what the caller says in plain language. Callers state their need. The agent routes correctly. No menu navigation, no caller frustration, fewer abandoned calls.
Voice AI with CRM integration
Voice agents that look up customer records during the call -- account history, previous interactions, open tickets -- and log call outcomes automatically. The agent knows who's calling before the conversation starts. CRM data is updated without a human typing call notes.
Custom voice and personality
Voice cloning and custom voice profiles using ElevenLabs. A voice AI agent that sounds like your brand's voice -- not a generic TTS voice. We design the conversation personality, the speech patterns, and the escalation language to match your brand's tone.
Want to see voice AI working on a real call?
Tell us your use case. We'll show you a working demo and give you a fixed cost to build the production version.
Frequently asked questions
Voice AI handles phone calls and voice interactions -- inbound calls, outbound outreach, phone-based interviews, and voice-first service flows. A chatbot handles text. The technical difference is in the modality (speech vs. text), the latency requirements (voice needs sub-second response to feel natural), and the use cases (calls, IVRs, phone-based automation vs. web and app chat). If your customers call you, voice AI is the channel to automate.
With modern TTS models (ElevenLabs, OpenAI TTS, Azure Neural Voice), voice AI sounds indistinguishable from a human for most routine interactions. The quality of the voice is less of a bottleneck than the quality of the conversation logic -- the agent's ability to understand what the caller said, handle interruptions, manage conversation state, and know when to escalate. We've shipped voice AI products where callers didn't know they were talking to an AI until the agent told them.
Voice AI handles well: FAQ responses, appointment scheduling, status updates, basic qualification and screening, information collection, and routine service requests. It struggles with complex multi-step negotiations, emotionally charged conversations, edge cases outside the defined scope, and requests requiring system access it doesn't have. We design every voice AI product with a clear human handoff -- when the agent can't handle something, it transfers gracefully to a live agent with the call context.
We use OpenAI Realtime API for real-time speech-to-speech with low latency, ElevenLabs for high-quality voice synthesis and voice cloning, Twilio and VAPI for telephony infrastructure and call routing, and Deepgram for speech-to-text where required. We've also built on LiveKit for real-time streaming infrastructure. The stack depends on your use case -- latency requirements, call volume, and whether you need custom voice cloning.
Yes. We integrate voice AI with existing PBX and contact centre infrastructure via SIP trunking and Twilio's programmable voice APIs. We can route specific call types to the AI agent while keeping existing routing for other call types. Integration with CRM systems (Salesforce, HubSpot) lets the agent look up customer records during the call and log call outcomes automatically.
A focused voice AI agent -- one use case, one call flow, telephony integration -- typically runs $30,000--$70,000. A full voice AI platform with multiple agents, CRM integration, call analytics, and human handoff workflows typically runs $80,000--$200,000. The cost depends on the complexity of the conversation design, the number of integrations, and the call volume infrastructure requirements. Fixed project cost, agreed before development starts.