Most contact centers are stitched together from tools that don't talk to each other — a phone system here, a chatbot there, a support queue that loses context the moment it changes hands. Dialpad Contact Center replaces that patchwork with one AI-native platform where voice, digital, and human agents work from the same intelligence.
The difference is agentic action. Rather than summarizing a call after the fact, Dialpad's AI agents reason through the issue in real time and carry it to resolution on their own — no handoff required unless one actually adds value. Voice and data stop living in separate silos, so every channel feeds the same connected picture of the customer.
That connected picture gets smarter with use. Dialpad is already past 775 million AI recaps, and every conversation adds to a base of intelligence that keeps improving resolution speed, agent output, and customer satisfaction over time. It's all run through Dialpad's Guardian layer, which keeps AI behavior secure, auditable, and within the boundaries enterprises expect.
The result: up to 80% of tickets resolved without a person touching them, and a support team that spends its time on the cases that actually need human judgment — intelligence doing the routine work, people handling what matters.
Skeptical an AI contact center can deliver on that? Dialpad's Proving Ground lets you pilot and measure real ROI before you commit, rather than adopting on promises alone.
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An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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Telnyx
Telnyx is a global communications infrastructure platform that combines telecom networking, programmable communications, AI inference, and autonomous agent orchestration into a unified real-time communication ecosystem. The platform is designed to help businesses build, deploy, and manage AI-powered voice and messaging systems using infrastructure that spans the entire communication stack from carrier-grade networking to AI execution layers. Telnyx differentiates itself by owning and operating its full telecom stack, including physical network interconnects, private global communication fabric, edge media processing, mobile core systems, programmable identity layers, and colocated GPU infrastructure for real-time AI inference. This vertically integrated architecture enables low-latency voice AI, real-time conversational agents, and autonomous communication workflows without relying on fragmented third-party infrastructure or public internet routing. Telnyx provides developers and enterprises with programmable APIs and tools including voice agent builders, speech-to-text systems, text-to-speech engines, AI-native orchestration layers, global phone numbers, messaging services, and real-time communication runtimes optimized for intelligent AI agents. The platform also supports advanced compliance and identity management features such as 10DLC, KYC enforcement, programmable identity verification, and network-level authentication designed to reduce fraud, spoofing, and deepfake risks. Telnyx’s AI infrastructure includes support for multiple advanced AI models and enables organizations to configure agent runtimes with customizable inference systems, voice technologies, storage layers, and autonomous orchestration capabilities.
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Retell AI
Retell AI is an innovative platform tailored to assist organizations in creating, testing, launching, and managing AI-powered voice agents, significantly improving customer interactions. It features capabilities like transferring calls, managing appointments, and integrating knowledge bases seamlessly, which allows for the production of lifelike conversations with minimal latency. The platform is designed to work with various telephony systems and offers support for multiple languages, making it particularly suitable for global enterprises. With its scalable architecture, Retell AI ensures reliable performance while effectively handling large volumes of calls. Additionally, it provides robust monitoring tools that evaluate call efficiency and customer sentiment, promoting continuous improvements in voice agents and aiding in a deeper understanding of customer preferences. This all-encompassing strategy enables businesses to adapt swiftly and succeed in an ever-evolving digital environment, ensuring they remain competitive and responsive to market changes. With Retell AI, organizations can harness the full potential of AI technology to enhance their customer service experience.
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