Gladia Real-Time is disrupting the market for real-time audio AI with its unbeaten transcription, language support, and evaluation.
Gladia Real-Time is an AI solution for delivering real-time audio solutions for customer support and sales. The latency is less than 300 ms which makes it possible to provide accurate transcriptions. It makes the use of more than 100 languages in meetings possible by offering less than 300 ms latency.
Gladia Real-Time comes with such special attributes as sentiment analysis, NER, and summary. All these tools produce some analysis within each second, making it easier for businesses across the globe.
Whilst most models are trained for the English language, Gladia’s real-time offering provides results in over 100 languages. It also supports accents and noisy audio that make it perfect for use by companies that have branches in different parts of the world.
Building Code-Switching for a Global Audience:
Gladia Real-Time’s Language Intermittence captures conversations where people sometimes speak a different language or change their accents. This provides continuity in the various environments.
New Achievements with the Series A Funding:
Gladia which has completed its Series A funding round secured $16 million to build end-to-end AI audio infrastructure.
The funding round was led by XAnge, with participation by Illuminate Financial, XTX Ventures, Athletico Ventures, Gaingels, Mana Ventures, Motier Ventures, Roosh Ventures, and Soma Capital.
This funding will enable Gladia to invest in R&D and convert speaking data into useful information for call agents and sales personnel that will be highly structured.
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The engine enables immediate sorting and extraction of key data that can be used in immediate decision-making by organizations. Glia is also highly extensible and over the telephony space its integration which is provided by the software is remarkably good.
Be ready for the future with the Gladia Real-Time that connects speed and accuracy, promoting the innovation of voice-first platforms.