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Speech-To-Text

Mastering real-time transcription: speed, accuracy, and Gladia's AI advantage

TL;DR: Most use cases like meeting assistants, post-call analytics, and note-taking tools don't need real-time transcription. Async delivers higher accuracy and better speaker attribution because the model processes the complete recording. Sub-300ms latency is a functional requirement only for voice agents, live captions, and live agent assist tools where immediate output is non-negotiable. Gladia's Solaria-1 delivers around 270ms average latency with 100+ language support and native code-switching for the use cases that do require it.

Speech-To-Text

Automated call scoring: Best practices for AI-powered QA and performance

TL;DR: Most contact centers manually review only a fraction of calls, leaving coaching decisions based on incomplete data. Automated call scoring closes that gap by combining async transcription with LLM-based evaluation, but every downstream score is bounded by the accuracy of your STT layer. When it fails on accented speakers or multilingual audio, compliance scores, sentiment flags, and coaching alerts all break, making STT engine selection the highest-leverage infrastructure decision in your QA stack.

Speech-To-Text

Generate automated follow-up emails from meeting recordings with Gladia and Claude

TL;DR: The bottleneck in automated meeting follow-ups is not the LLM writing the email. It's the transcription layer feeding it: wrong speaker labels and missed entities produce emails that sound generic or silently corrupt your CRM. Building your own pipeline with Gladia and Claude gives you predictable per-hour billing and strict data controls on paid tiers, backed by Solaria-1's on average 29% lower WER than competing APIs on conversational speech.

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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