Voicegain is at the forefront of Generative Voice AI technology, providing developers with a robust platform to create applications that leverage Automatic Speech Recognition (ASR) and Large Language Model (NLU) powered Natural Language Understanding. This platform enables the recording and transcription of meetings, contact center calls, videos, and more, offering LLM-powered summaries, sentiment analysis, and additional insights. Developers can also build Conversational Voice Assistants that seamlessly integrate with existing Contact Center platforms, enhancing customer interaction and service efficiency.
Voicegain's deep learning ASR technology stands out for its accuracy, affordability, and accessibility. It offers an unbeatable combination of these factors, with the flexibility to be deployed on-premise, in your Virtual Private Cloud (VPC), or as a cloud service. The platform integrates out-of-the-box with leading contact center, video meeting, and bot platforms, ensuring a smooth and efficient setup process.
Accuracy is a hallmark of Voicegain's ASR, with out-of-the-box performance on par with the best in the industry. However, the platform allows for further accuracy improvements by training models with your data, achieving accuracy levels in the high 90s. This is supported by an SLA guarantee on accuracy and specific models tailored for offline, real-time, and bot applications.
Affordability is another key advantage of Voicegain, with pricing 50%-75% lower than major cloud speech-to-text providers. This includes attractive Edge/On-Premise pricing, commitment, and volume discounts, making it an accessible option for businesses of all sizes.
Accessibility is ensured through the option to use Voicegain Cloud or deploy it in your Datacenter/VPC. This flexibility allows businesses to use their existing audio infrastructure and integrate with a protocol of their choice, including deploying on a Kubernetes cluster and bringing their CPaaS or CCaaS Platform.
Voicegain's ASR is built on the latest advances in deep learning, utilizing end-to-end transformer-based deep neural networks trained with tens of thousands of hours of diverse audio datasets. This foundation supports app-specific models for offline, real-time, and bot applications, acoustic model training for accents, dialects, and domain-specific language models, and runtime speech adaptation.
Developers can leverage Voicegain's APIs to embed transcription into their apps and build voice bots accessible over telephony. The platform supports multiple languages, including English, Spanish, German, Portuguese, Hindi, and Korean, with French and Portuguese under development. Training and inference are optimized for modern GPUs, such as NVIDIA A100 for training and T4 for inference, ensuring high performance and efficiency.
Voicegain also offers a Transcribe feature, providing an AI Meeting Assistant to automate note-taking, ensuring that users always know who said what, when, and where. This feature integrates with video meeting platforms like Zoom, Microsoft Teams, and Google Meet, with Edge (On-Prem or VPC) options available for enhanced security and privacy.
Security is a top priority for Voicegain, as evidenced by the successful completion of a System and Organizational Control (SOC) 2 Type 1 Audit. This commitment to security, combined with the platform's accuracy, affordability, and accessibility, makes Voicegain a leading choice for enterprises and Voice SaaS companies looking to build awesome voice-enabled apps.
