Soniox Selected as Speech-to-Text Provider by Retell AI

We’re excited to share that Retell AI has selected Soniox as its speech-to-text provider. Retell is one of the leading platforms for building, testing, deploying, and monitoring production-ready AI voice agents at scale. For voice agents, speech recognition is not a background component. It is the first layer of intelligence. Every call depends on understanding the user instantly and accurately, across accents, noise, interruptions, names, numbers, and real-world telephony audio. Retell integrated Soniox to help power high-quality voice agent experiences with: • Native-speaker accuracy across 60+ languages • Ultra-low latency for real-time conversations • Strong precision on names, numbers, IDs, and business-critical details • Seamless support for multilingual and accented speech Voice agents are becoming the new interface for customer communication. We’re proud to support Retell as they bring production-grade voice AI to businesses around the world. #VoiceAI #SpeechToText #VoiceAgents #AIInfrastructure

A conversation feels human or robotic based on something most people never notice consciously, the gap between when you finish speaking and when the other side responds. In human conversation that gap is typically under half a second. Cross it by even a few hundred milliseconds, and the brain registers something as off, even if it cannot articulate why. That threshold is the central engineering challenge behind every AI voice agent on the market today, and it explains why so many still feel noticeably slower than a real person. A single response from a voice AI agent actually passes through four distinct systems in sequence. Speech recognition converts spoken audio into text in real time, while the person is still talking. A language model then processes that text, determines intent, and generates the next response, the most computationally demanding step in the chain. Voice generation converts that response back into natural sounding audio, with human like pacing rather than a flat, mechanical tone. Telephony infrastructure carries the entire exchange reliably across the call in both directions. Each of those four steps adds latency. The difference between a voice AI platform that feels natural and one that feels frustrating almost always comes down to how efficiently those four systems are engineered to work together, not any single component in isolation. Dialbotix was built around this exact constraint. As an AI Voice SDR platform, every part of the system, speech recognition, conversation logic, voice generation, and call infrastructure, is tuned to operate within that sub second window, because outbound sales conversations have zero tolerance for a delay a prospect can actually feel. The technology behind AI voice agents is often discussed in terms of what they can say. The more important question is almost always how fast they can say it. What's the shortest delay you'd actually notice on a call before it started to feel off? #Dialbotix #VoiceAI #ConversationalAI #AIAgents #RevTechInnovation #SalesAutomation #AIForBusiness #TechInsights #SaaSInnovation #FutureOfWork #SmartSelling

In the fast-paced digital era, audio isn't just about sound—it's about actionable information. We are excited to launch SYNCO SMIC AI，the intelligent wireless microphone designed to give every voice more value. Clear Audio Capture: Professional sound quality for mobile setups. Real-time AI Workflows: Instant transcription, multi-language translation, and automated meeting or interview summaries. 🔗 Discover the future of voice productivity: https://lnkd.in/gAPYe7B5 #synco #SMICAI #syncosmicai #aiaudio #wirelessmic #MinimalistTech

Ever get stuck in an IVR loop, hitting dead ends and repeating yourself? The era of frustrating traditional phone menus is finally ending, replaced by intelligent AI voice agents. Synda Tech is transforming customer experience by integrating advanced conversational AI directly into VoIP call flows. Our systems leverage Natural Language Understanding (NLU) to accurately decipher customer intent, not just respond to keywords. This allows businesses to automatically resolve common, tier-1 inquiries instantly and efficiently. For complex issues, our AI seamlessly routes calls to the most qualified human agent, ensuring a smooth, personalized experience every time. It's about getting answers, not getting lost. #AIVoiceAgents #CustomerService #SyndaTech

Recent breakthroughs in voice AI—like open-source models supporting sub-0.1-second speaker switching—are fundamentally changing how businesses handle customer service. Unlike traditional bots that force callers to wait in rigid queues or finish speaking before processing, full-duplex voice AI can listen and talk at the same time. This creates fluid, interruptible conversations that match the natural cadence of a human receptionist or support agent. For SMEs looking to scale support without inflating operational overhead, deploying always-on audio agents bridges the gap between digital efficiency and genuine human touch. #VoiceAI #CustomerService #BusinessAutomation #TechTrends #DataChondria

A Voice AI demo can impress a room. Production is where it has to earn trust. A demo runs in controlled conditions: Clean audio, selected prompts, limited interruptions, and a predictable flow. Enterprise reality is very different. Customers switch languages mid-sentence. They interrupt. Call quality drops. Telephony introduces latency. Background noise interferes. And no one follows the script. That is where the gap between a conversational prototype and a production-ready Voice AI system becomes visible. Because the conversation is only one half of the product. The other half is whether it reliably works with telephony, customer data, workflows, enterprise systems, and the human teams operating around it. At Blue Machines AI, we build for that reality, not just the demo moment. The strongest Voice AI systems are not the ones that sound perfect in a controlled demo. They are the ones engineered to perform when production gets messy. #enterprisevoiceAI #voiceAI #conversationalAI Nirmit Parikh | Karna Chokshi | Arpan Khosla | John Philip | Tanmay Desai | Abhishek Ranjan | Kshitij Jain

To keep it simple : The strongest Voice AI systems are not the ones that sound perfect in a controlled demo. They are the ones engineered to perform when production gets messy.

A great Voice AI demo can win applause. A production deployment has to win trust. Over the last few months, I've realized that building a Voice AI demo and deploying Voice AI in an enterprise are two completely different challenges. In a demo, everything is controlled: ✔️ Clear audio ✔️ Expected questions ✔️ Stable network ✔️ Predictable conversation But production is messy. Customers switch between English, Hindi and regional languages in the same conversation. They interrupt. Network quality fluctuates. Background noise is everywhere. And most importantly—they never follow the script. That's why the conversation itself is only one part of the solution. The real test is whether your Voice AI can seamlessly integrate with telephony, CRM, enterprise applications, workflows, business rules, and human agents—while delivering a consistent customer experience at scale. Anyone can build an impressive demo. Building an enterprise-grade Voice AI platform that performs reliably every single day is where the real engineering begins. At Blue Machines AI, this is exactly the problem we're solving—moving beyond impressive demos to delivering AI that enterprises can confidently run in production. What's been your biggest challenge in deploying conversational AI at scale? I'd love to hear your experience. #VoiceAI #ConversationalAI #EnterpriseAI #GenerativeAI #AgenticAI #CustomerExperience #ContactCenter #CX #DigitalTransformation #BlueMachinesAI #ArtificialIntelligence

Ai agents working on enterprise scale are not just voice agents but a whole of seamlessly moving pieces which have been engineered to perfection.

Voice is changing how we work — and your headset matters more than ever. 🎧 Speech is faster than typing, more natural than prompting, and the most intuitive interface we have. But for AI-driven voice work to deliver, every word needs to land clearly. That’s why the headset your team uses is now an AI productivity decision. The Jabra Evolve3 is built for crystal-clear voice capture so your AI tools can work as intended. Talk to Communications Solutions UK Limited about Evolve3: https://lnkd.in/ehiTCgDu #communicationssolutionsuk #Evolve3 #Jabra #ITSupport #AIForBusiness