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Speech-To-Text

Vonage call transcription: adding real-time speech-to-text to Vonage

TL;DR: Integrating our speech-to-text infrastructure with the Vonage Voice API replaces fragmented recording, transcription, and enrichment stacks with a single API. By routing Vonage WebSocket streams directly to our endpoint, contact centers achieve approximately 270ms real-time latency for live agent assistance, or use post-call batch processing for automated QA scoring. Streaming is the right choice for live superviso. Async is the right choice when speaker-attributed QA scoring and full call context matter more than latency.

Speech-To-Text

Key data extraction: accurately extracting names, account numbers, and intents from calls

TL;DR: Downstream contact center automation fails silently when the transcription layer misinterprets a name, transposes a digit, or attributes speech to the wrong speaker. Every QA scorecard, CRM entry, and coaching signal is ceiling-bounded by the accuracy of the layer beneath it. A wrong digit or phonetic name substitution propagates into every CRM field and compliance event that follows. Extraction precision is capped by transcription quality: Solaria-1 delivers on average 29% lower WER on conversational speech and 3x lower DER than alternatives, benchmarked across 8 providers, 7 datasets, and 74+ hours of audio.

Speech-To-Text

Amazon Connect transcription: real-time speech-to-text for AWS contact centers

TL;DR: Contact centers using Amazon Connect struggle with high transcription costs and poor multilingual accuracy when relying on native tools. Routing audio via Kinesis Video Streams or S3 to Solaria-1 eliminates the Lambda 15-minute timeout risk and removes per-feature add-on costs. On conversational speech, Solaria-1 delivers on average 29% lower WER than alternatives, benchmarked across 7 datasets and 74+ hours of audio.

Gladia selected to participate in the 2024 AWS Generative AI Accelerator

Published on Sep 18, 2024
Gladia selected to participate in the 2024 AWS Generative AI Accelerator

We’re proud to announce that Gladia has been selected for the second cohort of the AWS Generative AI Accelerator, a global program offering top early-stage startups that are using generative AI to solve complex challenges, learn go-to-market strategies, and access to mentorship and AWS credits.

This opportunity will help Gladia build, train, test, and launch products such as agent assistance for contact center platforms, sales enablement tools and AI meeting assistants, and enable voice-first platforms to deliver more value to their users across borders.

“The new generation of startups is at the forefront of a transformative new wave, pushing the boundaries of what’s possible with artificial intelligence while bringing exciting new solutions to market,” said Jon Jones, Vice President of Go-to-Market at AWS and executive sponsor of the program.
“Expanding the cohort for our Generative AI Accelerator is a testament to the potential we see for startups to usher in new innovations for customers in an increasingly AI-driven world. AWS is committed to fostering groundbreaking technologies and supporting visionary founders on their journey to solve the world’s biggest challenges.”

Gladia is one of 80 global startups from around the world selected for the program, and we’ll attend and showcase our solutions to potential investors, customers, partners, and AWS leaders in December at re:Invent 2024 in Las Vegas.

For more information on the Generative AI Accelerator, visit AWS Generative AI Accelerator.

About Gladia

Gladia provides a speech-to-text and audio intelligence API for building virtual meeting and note-taking apps, call center platforms, and media products, providing transcription, translation, and insights powered by best-in-class ASR, LLMs, and GenAI models.

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