Cut Your Call Center Costs by up to 50%

with AI Voice Agents That Sound Human

NCSpeech automates routine calls using AI voice agents that understand context, speak naturally, and integrate easily with your existing systems.
What Makes NCSpeech Agents Stand Out
  • Human-like Conversations
    Our agents deliver low-latency, natural-sounding speech with contextual understanding.
  • Fully Automated Calls
    Cold calls, reminders, debt collection, and customer support — no human involvement needed.
  • API-First Integration
    Easily connect to your CRM or call center infrastructure.
  • Scalable Architecture
    Handle hundreds of parallel calls and scale with demand in real time.
Solving Real Business Challenges
  • Outbound Campaigns
    Automatically inform customers about new offers and promotions.
  • Debt Collection
    Politely remind clients about outstanding payments and guide them to complete the process.
  • Payment Reminders
    Increase recovery rates without overloading your team.
  • Call Analytics
    Extract key phrases, sentiment, and call structure to monitor quality and insights.
Why Companies Choose NCSpeech
  • Up to 50% Cost Reduction
  • Go Live in Just 2 Weeks
  • 24/7 Availability
  • Scale Without Hiring New Staff
  • Consistent Communication Style
  • Optimized for Finance, Collections & Customer Support Workflows
Proprietary Technology for Seamless Communication
  • ASR / TTS Models
    Real-time speech recognition and synthesis built in-house.
  • LLM-Enhanced Dialogues
    Agents understand and respond based on context and intent.
  • Cloud-Native Infrastructure
    Built on Kubernetes and Triton for effortless scaling.
  • Custom WebRTC
    Ensures low-latency, reliable voice delivery.
  • Flexible Deployment
    Cloud or on-premise — whichever fits your needs.
Meet the Team Behind NCSpeech
  • Tseren Andzhukaev
    Co-founder & CEO
    Leader in Speech AI R&D (ASR, TTS, voice biometrics), globally recognized with 400+ citations.
  • Artem Ivanov
    Co-founder & CTO
    ML infrastructure & AI deployment expert, combining deep technical skill with Stanford-trained
    business acumen.
  • Aleksei Gusev
    Lead Voice AI Scientist
    PhD in speech technologies; developed a voice‐biometrics system outperforming solutions
    from JHU and MIT.
  • Anastasia Avdeeva
    Senior ASR Researcher
    Author of papers at A*-ranked conferences;
    PhD candidate at ITMO University.
  • Denis Yarullin
    Lead Backend & Infrastructure Engineer
    Built a high-quality audio streaming solution superior to Telegram’s.
  • Yuri Agafonov
    Edge AI & Speech Processing Engineer
    Delivered NLP and voice solutions for banks
    and startups.
Ready to Integrate AI Voice Agents? Let’s Start with a Demo
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