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Voicing

Voicing offers an on‑premise hybrid voice intelligence platform that replaces traditional contact‑center infrastructure with AI‑driven voice agents capable of handling inbound and outbound calls, real‑time translation, and brand‑consistent voice transformation. The solution runs entirely on the enterprise’s own infrastructure, eliminating third‑party API dependencies, delivering sub‑400 ms latency, and providing AI observability tools for full control and data sovereignty.

Traction 10/10
Dover, United States · HQ
Founded 2024633K+ followers
  • Artificial Intelligence
  • AI Agents
  • Developer Tools
  • Enterprise Software
  • Software Only
Updated 5 months ago

Funding

Raised to date

$10MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

4 founders

Abhijit Bonik

Conversational AI | Voice Agents | Gen AI | AI Telephony | VoIP

Amit Kumar

GEN AI | BlockBucks, Swift Innovation Winner | IIT-Kharagpur | SUPER-30 | Fintech | AI | Blockchain architect.

Aniket Bapat

Gen AI | Conversational AI | AI Agents | Cyber Security | CART | Product Development

Michael Arango

Agentic AI | Performance Marketing | LATAM | Leadership | Artificial Intelligence

Product

Problem

Contact centers for large enterprises incur massive costs—estimated at $680 billion globally—and have seen little technological change in two decades, resulting in inefficient, slow, and inflexible customer interactions.

Solution

Voicing provides an on‑premise hybrid voice intelligence platform that replaces traditional call‑center infrastructure with AI‑driven voice agents. The stack combines agentic voice AI capable of handling inbound and outbound calls 24/7, real‑time language translation for global reach, voice identity transformation to maintain brand consistency, and AI observability tools for full operational control. By running entirely on the customer’s own infrastructure, the solution eliminates third‑party API dependencies, reduces latency to under 400 ms, and minimizes hallucination risk. Enterprises can deploy custom emotion mapping, long context windows, and seamless handoffs to human agents, delivering faster and smarter conversations while retaining data sovereignty.

Target Audience

Primary customers are Fortune 2000 enterprises operating large contact centers that require high‑volume, secure, and customizable voice automation.

Features

  • On‑premise deployment with zero third‑party API reliance, ensuring data stays within the enterprise
  • Agentic voice AI with 20+ turn context windows, custom emotion mapping, and 24/7 inbound/outbound call handling
  • Real‑time translation layer enabling multilingual interactions without additional services
  • Voice identity transformation to apply consistent brand voice across all calls
  • AI observability dashboard providing end‑to‑end monitoring, performance metrics, and control over AI behavior
  • Low latency architecture delivering sub‑400 ms end‑to‑end voice response times
  • Scalable training on over 15 million voice interactions for domain‑specific accuracy
This profile is AI-generated and may contain inaccuracies.