Build AI voice agents that handle real conversations, in real time.

Production-grade voice agents that answer calls, deliver product and pricing info, and process orders — with sub-second latency, multi-agent orchestration, and enterprise guardrails.

<800ms
Response latency
80%
Call containment
30%
Fewer transfers
5 weeks
To live MVP

Get a voice AI architecture review

We map your call flows, integration points, and the fastest path to a production voice agent.

Book a free call with our expert

Speed

Sub-second voice responses powered by streaming ASR, real-time LLM inference, and edge-optimized TTS.

Intelligence

Multi-agent orchestration routes each caller intent to a specialized agent with full context.

Reliability

Enterprise guardrails, fallback paths, and human handoff ensure every call is handled safely.

Deployment

Cloud-native architecture on GCP Cloud Run — scales from 10 to 10,000 concurrent calls.

How a voice agent call works

From inbound ring to resolved call — six stages, all under two seconds.

Step 01

Inbound Call

Caller connects via Twilio. WebRTC streams audio with <100ms transport latency.

Step 02

Real-Time Conversation

OpenAI Realtime API handles speech recognition and response generation in a single streaming pass.

Step 03

Intent Routing

Multi-agent orchestrator classifies intent and delegates to the right specialist agent.

Step 04

Data Lookup via MCP

Agents query product catalogs, pricing, and order systems through Model Context Protocol servers.

Step 05

Guardrails

Every response passes through topic filters, PII redaction, and brand-safety checks before delivery.

Step 06

Observability

Langfuse traces every turn — latency, cost, quality scores, and escalation paths are logged.

Technology stack

Production-proven components assembled into a voice AI platform you can trust.

OpenAI Realtime API

Streaming speech-to-speech with GPT-4o

Twilio + WebRTC

Carrier-grade telephony with low-latency audio

Multi-Agent Orchestration

Intent routing across specialized agents

MCP Data Integration

Live queries to product, pricing, and order systems

Guardrails

Topic filtering, PII redaction, brand safety

Langfuse

Full-trace observability for every conversation

GCP Cloud Run

Auto-scaling serverless containers

ElevenLabs

Custom voice cloning and high-fidelity TTS

Measurable outcomes from day one

Voice agents that resolve calls, capture revenue, and scale without headcount.

80%

Instant resolution

Calls resolved without human intervention — product info, pricing, order status.

<2s

Response time

End-to-end from caller question to voiced answer, including data lookup.

30%

Fewer transfers

Reduction in calls needing human escalation vs. traditional IVR.

15% more orders captured

Voice agents handle after-hours and overflow calls that would otherwise be missed.

ROI in 60 days

Reduced staffing costs and increased conversion pay for the system within two months.

Near-zero marginal scaling cost

Each additional concurrent call costs pennies — no hiring, no training.

5-week MVP

From kickoff to live calls with real customers in five weeks.

Built for enterprise voice from day one

Multi-language, multi-channel, deeply integrated, and safe by default.

Global reach

Multi-Language Support

Serve global markets from day one.

  • Real-time language detection and switching.
  • Native-quality TTS in 20+ languages.
  • Cultural context awareness in responses.
Channel flexibility

Multi-Channel Ready

Voice today, everywhere tomorrow.

  • Phone, web widget, and WhatsApp support.
  • Shared conversation context across channels.
  • Unified analytics and reporting.
System connectivity

Deep Tool Integration

Your agents work with your systems.

  • MCP servers for ERP, CRM, and e-commerce.
  • Real-time inventory and pricing lookups.
  • Order creation and status updates.
Safety and compliance

Enterprise Guardrails

Safety and compliance built in.

  • PII redaction and GDPR-compliant logging.
  • Brand voice enforcement and topic boundaries.
  • Automatic human escalation for edge cases.

After MVP: your growth roadmap

The MVP is just the start. Here is how voice agents compound value over time.

Weeks 6-10

Enhance

  • Expand intent coverage to 90%+ of call types.
  • Fine-tune voice quality and response accuracy.
  • Optimize cost per conversation by 30%.
Weeks 10-16

Engage

  • Launch outbound call campaigns.
  • Proactive product recommendations.
  • Automated re-ordering and follow-ups.
Weeks 16+

Expand

  • Multi-market and multi-language rollout.
  • WhatsApp and web widget channels.
  • Advanced analytics and revenue attribution.
Ondrej Stastny
"Voice AI is not about replacing people — it is about making sure every caller gets an instant, accurate answer, whether it is 2 PM or 2 AM. The best agents augment your team; they do not compete with it."

Ondrej Stastny, Co-founder & CEO, QuantumSpring

Next step

Speak directly with Ondrej Stastny

A short expert call to evaluate your call volumes, integration landscape, and whether a voice AI agent is the right move.

Clear guidance. Senior expertise. No sales talk.

Ondrej Stastny

FAQ

Answers before we start

Ask something else
How long does deployment take?+

MVP with live calls in 5 weeks. We start with your highest-volume call type and expand from there.

Can it integrate with our existing systems?+

Yes. We build MCP servers that connect to your ERP, CRM, e-commerce platform, and any API-accessible system.

What happens when the agent cannot answer?+

Automatic escalation to a human agent with full conversation context. The caller never has to repeat themselves.

How do you ensure brand safety?+

Topic boundaries, response templates for sensitive areas, and PII redaction run on every turn before the caller hears anything.

Which languages are supported?+

OpenAI Realtime and ElevenLabs support 20+ languages. We configure and test each market-specific deployment.

How do you measure success?+

Langfuse traces every call — resolution rate, latency, escalation rate, and CSAT. Weekly dashboards from day one.

What are the ongoing costs?+

Per-minute API costs (OpenAI, Twilio, ElevenLabs) plus infrastructure. Typically 60-80% cheaper than equivalent human staffing.

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