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Average Ratings 0 Ratings
Description
FonadaLabs is an enterprise voice AI infrastructure platform designed to help businesses build, deploy, and scale voice agents using Indian telephony systems and localized AI technologies. The platform delivers a complete voice-to-voice pipeline through APIs and WebSocket integrations, enabling organizations to create real-time conversational AI experiences with low latency and high reliability. FonadaLabs includes integrated services such as Indian telephony hosting, AI-powered noise cancellation, automatic speech recognition in 23 Indian languages, specialized voice agent language models, and natural text-to-speech generation. The solution is optimized for telephony environments and supports advanced features such as intelligent turn detection, tool calling, webhook integrations, and custom vocabulary support. Businesses can obtain Indian phone numbers, manage enterprise-grade call routing, and deploy scalable voice agents with infrastructure designed for high availability and production workloads. FonadaLabs’ voice models are specifically optimized for Indian accents, dialects, and conversational use cases, helping organizations improve customer interactions and automation quality. The platform also emphasizes data sovereignty by ensuring all data processing occurs within India to support regulatory compliance and enterprise security requirements. With capabilities supporting over 10,000 concurrent voice agents and end-to-end latency under one second, FonadaLabs enables businesses to create responsive and scalable AI-driven voice applications. By combining multilingual voice AI, enterprise telephony infrastructure, and low-latency streaming APIs, FonadaLabs helps organizations modernize customer engagement and voice automation across the Indian market.
Description
An AI-driven voice filter enhances the clarity of offshore agents' voices during conversations, leading to significant improvements in customer satisfaction and sales performance. Tomato.ai offers a solution that softens accents, allowing for clearer communication during calls. As agents with Indian, Filipino, or other accents speak, customers perceive their words as being articulated more like those of native speakers, which enhances understanding and decreases frustration. This method is more effective and faster than traditional accent training, providing real-time improvements in agent intelligibility. By utilizing a speech filter, the overall customer experience is notably elevated, which also mitigates the negative treatment offshore agents may face due to their accents, thereby increasing retention rates among these employees. By enhancing the offshore customer experience, businesses can expand their offshoring capabilities, leading to cost savings and improved sales figures. Furthermore, the voice filter allows companies to consider hiring candidates who might have been overlooked due to their accents, broadening the talent pool and enriching workforce diversity.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Avaya Cloud Office
Cisco CX Cloud
Genesys Cloud CX
Google Meet
Microsoft Teams
Zoom
Integrations
Avaya Cloud Office
Cisco CX Cloud
Genesys Cloud CX
Google Meet
Microsoft Teams
Zoom
Pricing Details
$5
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FonadaLabs
Founded
2012
Country
India
Website
fonadalabs.ai/
Vendor Details
Company Name
Tomato.ai
Country
United States
Website
tomato.ai/
Product Features
Product Features
Alternatives
No Alternatives