Gowajee provides a voice AI platform that utilizes proprietary Automatic Speech Recognition (ASR) and Generative Voice technologies to deliver real-time transcription and realistic voice generation for contact centers. Their solutions enhance compliance and customer verification processes while achieving industry-leading accuracy in Thai language applications.
Funding
Funding not disclosed
Founders
Product
Problem
Contact centers face challenges in maintaining compliance, verifying customer identities, and managing high call volumes, particularly when dealing with languages like Thai, which may have limited support in existing speech recognition systems. Human agents can be costly, require extensive training, and are subject to turnover, impacting service consistency and scalability.
Solution
Gowajee offers a voice AI platform designed to enhance contact center operations through real-time transcription, realistic voice generation, and intelligent call handling. Their technology leverages proprietary Automatic Speech Recognition (ASR) and Generative Voice models, optimized for the Thai language, to accurately convert speech to text and create natural-sounding voice responses. By integrating these speech AI capabilities with Large Language Models (LLMs), Gowajee enables intent detection, summarization, and voice-based KYC, improving efficiency and reducing operational costs. The platform's AI Voice Agents can handle both inbound and outbound calls, providing 24/7 availability, personalized messaging, and seamless routing of complex issues to human agents.
Target Audience
Gowajee primarily targets contact centers and enterprises seeking to enhance their customer service, sales, and compliance processes through AI-powered voice solutions, particularly those operating in the Thai language market.
Features
- Proprietary Automatic Speech Recognition (ASR) model with industry-leading accuracy in Thai, capable of handling multiple speakers.
- Generative Voice technology for converting text to professional audio, enabling personalized IVR and voice assistants.
- Automatic Speaker Verification (ASV) system utilizing voice characteristics and anti-spoofing to ensure voice KYC compliance.
- Emotion Detection system that identifies speaker emotions like anger, sadness, and happiness.
- Integration with Large Language Models (LLMs) for intent detection, summarization, and VoiceGPT functionality.
- Real-time inference with minimal compute requirements, utilizing CPU for efficient processing.
- Portable models for on-premise and private cloud deployment.