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Speech-To-Text

Call center transcription software: what enterprises should look for in 2026

TL;DR: Most contact centers evaluate transcription software using clean-audio lab benchmarks, then watch QA automation break down when BPO (Business Process Outsourcing) agents switch languages mid-call or phone-line noise degrades the signal. In 2026, the criteria that matter are real-world multilingual WER, all-inclusive per-hour pricing, and data sovereignty that holds up under GDPR and HIPAA audit. For enterprise teams, the highest-ROI evaluation step is testing on real BPO call samples rather than vendor demo audio, and asking every shortlisted provider for an all-in per-hour price with diarization, sentiment, and entity extraction enabled.

Speech-To-Text

PII redaction for call recordings: how ingestion-level redaction keeps calls PCI compliant

TL;DR: Legacy pause-and-resume systems don't remove agents, local desktops, or telephony infrastructure from PCI DSS audit scope. Automated, ingestion-level PII redaction scrubs sensitive data before it reaches any database. By removing cardholder data at the ingestion layer, contact center platforms using automated redaction can potentially reduce audit complexity, cut agent handle time (AHT), and protect downstream CRM and LLM pipelines from corrupt data. The accuracy floor for reliable entity detection in PCI audits is significantly higher than for standard QA transcription, making STT model selection a compliance decision as much as a product one.

Speech-To-Text

GDPR, SOC 2, and ISO 27001 speech-to-text: the contact center compliance and certification guide

TL;DR: When your contact center routes voice data through a transcription vendor, every certification gap in that vendor's stack becomes your compliance liability. Voice recordings qualify as personal data under GDPR Article 4, and processing them through uncertified APIs creates direct financial exposure. This guide breaks down what GDPR, SOC 2 Type II, ISO 27001, HIPAA, and PCI DSS each require of your audio infrastructure vendor and maps those requirements to the QA coverage rates and cost-per-contact metrics you manage daily. We hold GDPR, SOC 2 Type II, ISO 27001, HIPAA, and PCI DSS certifications, and never use customer audio for model training on Growth or Enterprise plan.

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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