Voice AI & VoIP Solutions
Real-time voice AI, agentic voice systems, and VoIP infrastructure. From conversational IVR to intelligent call routing — we build production voice solutions that scale.
Voice AI Success Stories
Proven voice AI implementations delivering real business results
Enterprise Contact Center AI
Deployed conversational IVR with AI voice agents handling Tier 1 support queries, intelligent routing to human agents, and real-time sentiment analysis.
Healthcare Appointment Scheduling
Built voice AI system that handles appointment scheduling, reminders, prescription refills, and patient inquiries with full HIPAA compliance.
Multilingual Voice Support
Implemented voice AI with real-time language detection, accent adaptation, and culturally appropriate responses for global customer support.
Voice AI Implementation Process
From assessment to deployment — a systematic approach to building production voice systems
Infrastructure Assessment
Analyze your existing telephony infrastructure, identify integration points, and determine optimal architecture for voice AI implementation.
Voice Design
Design conversation flows, voice personality, and integration patterns. We select optimal STT/TTS engines and latency optimization strategies.
Development & Testing
Build voice AI with extensive testing for audio quality, conversation flow, and edge cases. We test across devices and network conditions.
Deployment & Optimization
Production deployment with real-time monitoring, quality assurance, and continuous optimization of conversation flows and latency.
Voice Technology Stack
We leverage cutting-edge speech and telephony technologies for enterprise voice solutions
Speech Technologies
Telephony & VoIP
AI & LLMs
Infrastructure
Compliance
Technical Capabilities
- Agentic voice AI with real-time conversation capabilities
- VoIP infrastructure design, deployment, and optimization
- Speech-to-text and text-to-speech integration (Whisper, ElevenLabs)
- Voice biometrics and authentication systems
- Call recording, transcription, and sentiment analysis
- Custom voice model training and fine-tuning
- Telephony integration (Twilio, Plivo, SIP trunking)
Use Cases
- AI voice assistants and conversational IVR systems
- Voice-activated customer service and support
- Call center automation and analytics platforms
- Voice-controlled applications and IoT devices
- Real-time translation and interpretation services
Frequently Asked Questions
How much does voice AI development cost in 2025?
Voice AI development costs vary significantly: Basic MVP solutions ($10,000 - $25,000), moderate complexity with integrations ($25,000 - $50,000), and full enterprise systems ($50,000 - $150,000+). Usage-based pricing typically runs $0.05 - $0.25 per minute for hosted solutions. Setup fees range from $5,000 - $20,000. Monthly subscriptions can range from $50/month for simple chatbots to $15,000+/month for enterprise systems. Factors affecting cost include: NLP sophistication, integration complexity (CRM, scheduling systems), multi-language support, and usage volume.
What causes voice AI latency issues and how do you solve them?
Common voice AI latency causes include: network transmission delays, speech-to-text processing time, LLM inference time, text-to-speech generation, and inefficient audio processing. We solve these through: sub-500ms optimization targets, edge computing for faster processing, streaming architectures (vs batch processing), model compression and optimization, strategic infrastructure placement (CDNs), adaptive bitrate adjustment, and efficient audio codecs. We continuously monitor latency and implement fallback mechanisms for optimal user experience.
How do you ensure voice quality in AI phone systems?
We implement comprehensive voice quality measures: audio quality monitoring with mean opinion score (MOS) tracking, noise cancellation and echo suppression, adaptive bitrate for varying network conditions, high-quality audio codecs (Opus, G.722), redundant infrastructure for reliability, real-time quality metrics dashboards, and A/B testing of TTS engines. We also test across various devices and network conditions to ensure consistent quality.
Can voice AI integrate with our existing phone system (PBX, VoIP)?
Yes. We integrate with virtually all telephony systems including: cloud platforms (Twilio, Plivo, Vonage), SIP trunking providers, traditional PBX systems, VoIP infrastructure (Asterisk, FreeSWITCH), WebRTC applications, and custom telephony solutions. We handle SIP configuration, call routing, PSTN connectivity, and ensure seamless integration whether you have cloud telephony or on-premise systems.
What's the difference between voice AI and traditional IVR systems?
Traditional IVR uses static menus and button presses - you 'press 1 for sales'. Voice AI uses natural language understanding - you can speak naturally and ask questions. Key differences: IVR follows rigid decision trees while voice AI understands context and intent, IVR requires specific inputs while voice AI handles conversational speech, IVR can't learn or improve while voice AI gets better over time, and IVR leads to high frustration and abandonment while voice AI provides better customer experience with higher containment rates.
Do you support multilingual voice AI and accent adaptation?
Yes. We build voice systems supporting 50+ languages including: automatic language detection (no need to select language), accent and dialect adaptation, culturally appropriate responses, region-specific pronunciation, and multilingual knowledge bases. Our systems can detect language in real-time and switch seamlessly, handle code-switching (mixing languages in conversation), and adapt to different accents while maintaining high accuracy.
Is voice AI compliant with HIPAA, PCI-DSS, and other regulations?
Yes. We implement full compliance for all major regulations: HIPAA for healthcare (encrypted storage, audit logs, access controls), PCI-DSS for payment processing, GDPR for EU data privacy, SOC 2 for security, and industry-specific compliance requirements. Our compliance features include: end-to-end encryption for call audio, secure call recording and storage, granular access controls, comprehensive audit trails, data retention policies, and right-to-be-forgotten implementation for GDPR.
What speech-to-text and text-to-speech technologies do you use?
We work with all leading speech technologies: Speech-to-Text (OpenAI Whisper for highest accuracy, Google Cloud Speech-to-Text, Azure Speech, DeepSpeech for on-premise), Text-to-Speech (ElevenLabs for most natural voices, Azure TTS, Google Cloud TTS, Amazon Polly for variety), and specialized engines for different use cases. We select the best combination based on your needs: accuracy requirements, latency constraints, cost considerations, language support, and voice preferences.
How long does it take to build and deploy a voice AI system?
Timeline depends on complexity: Basic voicebots with FAQ handling (2-4 weeks), conversational voice AI with context awareness (6-10 weeks), enterprise systems with full integrations (3-6 months). The process includes: infrastructure assessment and architecture design (1-2 weeks), conversation flow design and voice personality definition (1-2 weeks), development and testing with audio quality validation (2-8 weeks), integration with existing systems (1-4 weeks), and production deployment with monitoring (1 week). We can deploy MVPs quickly for validation.
Can voice AI handle complex multi-turn conversations?
Yes. Modern voice AI excels at complex conversations through: context management across multiple turns, conversation memory and history tracking, intent recognition with high accuracy, entity extraction for key information, disambiguation strategies for unclear requests, seamless escalation to human agents when needed, and personalized responses based on user data. Our systems can handle multi-step workflows like appointment scheduling, troubleshooting, and sales conversations while maintaining context throughout.