Voice AI
Real-time voice agents with natural conversation flow. Customer support, booking, and sales automation with sub-500ms response times.
- ✓ Production-ready implementation
- ✓ Strong software engineering foundations
- ✓ Scalable and maintainable solutions
- ✓ Expert guidance throughout
Why Choose This Service
Production-ready solutions with proven results
Natural Conversations
Real-time bidirectional voice with natural interruption handling. Customers can speak naturally without waiting for beeps.
Instant Response
Sub-500ms latency from speech to response. No awkward pauses or delays that break the conversation flow.
System Integration
Tool calling for CRM lookups, booking actions, inventory checks. Your voice agent can actually do things, not just talk.
RAG-Powered Answers
Integrated retrieval for contextual, accurate answers from your knowledge base. No scripts, real understanding.
Full Analytics
Track call outcomes, handle times, escalation rates. Understand what's working and continuously improve.
Graceful Escalation
Seamless handoff to human agents when needed. Full context transferred so customers never repeat themselves.
Our Implementation Process
From concept to production in 8-12 weeks
Use Case Definition
1 weekDefine call flows, integration points, and success criteria. Map out what your voice agent needs to handle and when to escalate.
Voice Pipeline Setup
2 weeksConfigure STT, LLM, and TTS pipeline. Optimize for latency and natural conversation flow. Set up tool calling integrations.
Testing & Tuning
2-3 weeksTest with real call scenarios. Tune voice detection, response timing, and conversation quality. Handle edge cases.
Production Launch
1-2 weeksDeploy with monitoring and analytics. Gradual rollout with human oversight. Continuous improvement based on real calls.
Compare AI Solutions
Choose the right approach for your specific needs
| Feature | RAG & GraphRAG | LLM Fine-tuning | AI Agents |
|---|---|---|---|
| Best For | Dynamic knowledge, Q&A | Domain-specific tasks | Complex workflows |
| Setup Time | 2-4 weeks | 4-8 weeks | 3-6 weeks |
| Cost | $$ | $$$ | $$ |
| Accuracy | High with good data | Very high | Variable |
| Maintenance | Low | Medium | High |
| Use When | Need latest information | Need consistent behavior | Need autonomy |
RAG & GraphRAG
- Best For
- Dynamic knowledge, Q&A
- Setup Time
- 2-4 weeks
- Cost
- $$
- Accuracy
- High with good data
- Maintenance
- Low
- Use When
- Need latest information
LLM Fine-tuning
- Best For
- Domain-specific tasks
- Setup Time
- 4-8 weeks
- Cost
- $$$
- Accuracy
- Very high
- Maintenance
- Medium
- Use When
- Need consistent behavior
AI Agents
- Best For
- Complex workflows
- Setup Time
- 3-6 weeks
- Cost
- $$
- Accuracy
- Variable
- Maintenance
- High
- Use When
- Need autonomy
Frequently Asked Questions
How does Voice AI handle interruptions? ▼
We use semantic turn detection (Silero VAD) to understand when a caller has finished speaking, not just when they pause. This allows for natural conversation with proper handling of interruptions, backchannels, and overlapping speech.
What integrations do you support? ▼
Voice agents can integrate with CRMs (Salesforce, HubSpot), booking systems, databases, and custom APIs via tool calling. If it has an API, your voice agent can use it during calls.
How do you achieve sub-500ms latency? ▼
We use streaming speech-to-text (Deepgram), optimized LLM inference, and pre-buffered text-to-speech. The system starts processing before the caller finishes speaking, achieving natural conversational timing.
Can voice agents handle complex conversations? ▼
Yes. With RAG integration, voice agents can answer questions from your knowledge base, not just follow scripts. They maintain context across the conversation and can handle multi-turn discussions.
What happens when the AI can't help? ▼
Graceful escalation to human agents with full conversation context. The human sees everything discussed, so the customer never repeats themselves. You define escalation triggers based on your needs.
How many concurrent calls can you handle? ▼
Our architecture scales horizontally. We've deployed systems handling 50,000+ calls/month with 15+ concurrent agents. Scale is limited only by infrastructure, not the technology.
What languages do you support? ▼
English is fully supported with the best latency and quality. Other major languages (Spanish, French, German, etc.) are available with slightly higher latency. Contact us for specific language requirements.
How do you measure voice agent performance? ▼
We track resolution rate, escalation rate, handle time, customer satisfaction, and conversation quality metrics. Dashboards show real-time performance with historical trends.
Still have questions? We're here to help. Contact us for more information.
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