Speechmatics

 How much can you learn from 36 years in speech-to-text? 🎙️ A lot, as it turns out. Our founder Dr Tony Robinson took to Reddit last week for a 24-hour AMA with Voice AI builders, sharing (almost) four decades of hard lessons on latency, pipelines, turn detection and where Voice AI actually breaks in production. 🔧 Swipe for our highlights 👉 Full article at the link. 👇

The Traitors. Rooftop lunches. Massages. Museum hackathons. Escape rooms 🤯 Just another few months at Speechmatics HQ. Our People & Culture Coordinator Megan Foster picked some of her favourite office moments from the first stretch of 2026. Swipe through to see what we got up to. Stay tuned for more and if you'd like to join us, check out our Careers page👇 https://lnkd.in/eaDQs4Uu

The best thing about building in Voice AI right now is the people doing it🎙   Last night, Speechmatics x Rasa brought together London's enterprise builders to work through the problems that don't resolve cleanly: the latency that erodes trust in AI conversations, the architecture decisions that separate auditable production systems from "prompt and pray," and what multi-turn interruption handling looks like under real conditions.   Sam Sykes and Edgars Adamovics alongside Rod Rivera covered complex use cases and scenarios where a bad transcription has real consequences.   The talks were great. The conversation that followed with our growing community was even was better.   If you want to be in the next room, follow our feed and join the Discord: https://lnkd.in/egnP2Pci   #VoiceAI #VoiceAgents #DeveloperCommunity

If you’re building voice AI agents in London, this is your last call to join us tonight 🚨 We’ll be joining forces with Rasa, talking about what it actually takes to make voice agents work in the real world. What we’ll get into: 🔊 Real-time ASR + agentic orchestration, and why latency matters more than most teams think 🔊 How teams are moving beyond “prompt and pray” towards more auditable, production-ready interactions 🔊 What it takes to build for higher-stakes environments like banking, telco, and healthcare 🔊 A live demo showing interruptions and complex conversational logic in real conditions 🔊 Honest + open discussions with people building these systems at scale 6pm at Speechmatics London HQ. Good conversation, live demos, and as always, 🍕 and drinks too. Space is limited: https://luma.com/tensquza #VoiceAI #ConversationalAI #AIagents #LondonTech

The field you're building in exists in part because of the work Tony Robinson 👀 One of the original innovators in speech tech, Tony was building neural net speech recognition at Cambridge in 1989, way before the benchmarks existed and any of this was a market. He went on to found Speechmatics, and has spent nearly four decades solving the hardest challenges in our space. Now you have a chance to pick his brains. Learn what he'd do differently, where he thinks #VoiceAI is really heading, ask him anything. Head to Reddit tomorrow: 27 March, 10:30 AM PST 👇

Speechmatics has been around for over 20 years.   We've spent that time building the most accurate speech-to-text API for real-world audio across 55+ languages, handling background noise, overlapping speakers, heavy accents, all of it.   We never launched on Product Hunt. Until today.   If you're building with Voice AI, or know someone who is, we'd love your support. We're also offering $50 free credits to anyone who wants to try the API.   👉 https://lnkd.in/eBR4znuR   #VoiceAI #SpeechToText #ProductHunt #Developers

Lunch read 🍔📖: Most teams aren't short of solutions. They're short of good problem statements. 🧩 In his latest substack, Speechmatics' Tudor Evans makes a sharp case: that the problem space and the solution space are coupled. Frame the problem narrowly, and you automatically cap the quality of your solutions... before you've even started. A bridge example lands it well: "how do I build a bridge?" is a radically smaller solution space than "how do I reduce congestion across the Thames?" One of those might end up being a railway. It's a great read on why organisations consistently under-explore problem space, and what to do about it. Read it here 👇 #VoiceAI #ProductStrategy #Engineering

Hiring for your own team hits different ✨ I spend my days telling candidates why Speechmatics is the best place to build a career in AI. But today, I’m looking for a People Partner to join our People & Talent team. This isn't just another HR role; it’s a chance to shape the employee experience for some of the smartest minds in the industry. Plus, you get to work with us (and we’re a pretty great bunch, if I do say so myself). Check it out 👉 https://lnkd.in/e_hjHw8e #Hiring #PeoplePartner

Building an Arabic voice agent? Here are 5 things most builders underestimate. 🔊 Dialect range: A model trained on MSA won't hold up in Cairo, Riyadh, or Beirut. Egypt, Gulf, Levant each have different phonology, vocabulary, and pace. 🔊 Code-switching: MENA professionals switch between Arabic and English mid-sentence. A model that treats that as noise will miss most of what matters. 🔊 Custom vocabulary: Out-of-the-box accuracy is a floor. Brand names, drug names, regional shorthand are where generic models drop out. 🔊 Speed and accuracy: Getting the words wrong at speed just means failing faster. Both matter. 🔊 Diarisation: Multi-speaker is the norm in clinical and call centre settings. Your model needs to know whose voice matters before it can act on anything. Watch Yahia Abaza's full walkthrough of our new Arabic-English model and grab $200 in free credits via the video description. 👇 https://lnkd.in/gaciwTks #VoiceAI #Arabic #SpeechRecognition