Speech-To-Text
As voice agents become a core part of customer and employee experience, users need to know these AI systems are accurate, safe, and acting within boundaries. That’s especially true for enterprise-grade tools, where a rogue voice agent can severely damage relationships and create major legal risks.
Case Studies
The contact center is transforming. Traditionally defined by manual workflows, siloed data, and reactive customer service, today's Contact Center as a Service (CCaaS) platforms are embracing a new era—one driven by real-time AI and automation.
Speech-To-Text
Latency can make or break a voice experience. Whether you’re building an agent that must stop speaking the moment a customer interrupts, or you’re captioning live content, you need a clear, reproducible way to measure how fast your STT really is, from first partial word to final transcript.
Speech-To-Text
Great customer support experiences rely on clear communication and deep understanding. Until recently, meeting that expectation at scale was nearly impossible—human agents can only handle so many languages, and even fewer can switch between them fluently.
Case Studies
The revenue tech stack is evolving fast. What used to be manual note-taking and inconsistent CRM updates is giving way to AI-powered workflows that turn every conversation into structured, actionable data. At the core of that shift is transcription: if the words aren’t captured quickly and accurately, everything downstream falls apart.
Product News
One of the biggest challenges in building Voice AI Agents is response time—users expect natural, real-time conversations, but every millisecond counts. That’s why we’re thrilled to announce the general availability of partials on Gladia’s real-time API, a feature now open to all developers.
