we love polyai

A list of UK frontier-AI businesses to consider using (list compiled by ChatGPT) “A thread of Britain’s frontier AI firms 🇬🇧🧵 Not AI wrappers. Not “ChatGPT for X”. Actual firms building foundational models, advanced infrastructure, or genuinely novel AI systems. 1. Google DeepMind Britain’s AI crown jewel. Building frontier multimodal models, AGI research, robotics and scientific breakthroughs like AlphaFold. 2. Stability AI The company behind Stable Diffusion. One of the world’s most important open-source image model labs. 3. Wayve Building embodied AI for autonomous driving using end-to-end neural networks trained on real-world data. 4. Synthesia Creates AI-generated video avatars at scale. One of Europe’s biggest enterprise AI success stories. 5. Cosine Building Britain’s sovereign frontier AI models. A major new player in domestic foundation model development. 6. PhysicsX Building engineering foundation models for aerospace, automotive, semiconductors and advanced manufacturing. 7. Isomorphic Labs Using frontier AI to radically accelerate drug discovery, spun out of DeepMind. 8. ElevenLabs Building state-of-the-art voice synthesis and speech models, now a global leader in AI audio. 9. PolyAI Advanced voice agents for enterprise, pushing realistic conversational AI in customer service. 10. Fractile Designing specialist AI chips to make inference dramatically faster and cheaper. 11. Nscale Building sovereign AI compute infrastructure so Britain can train and run models at home. 12. Faculty Deploying advanced AI into defence, intelligence, government and critical national infrastructure. Britain has the talent. The question now is whether we build the capital and compute to match it.”

Europe's got some serious contenders like Mistral (Mistral Medium 3.5, Mistral Small 4), Aleph Alpha (Luminous series), DeepL, and PolyAI, and let's not sleep on 🇫🇷 Kyutai with Moshi and the open-source EuroLLM. We're definitely in the game.

Fuck no. The EU have regulated AI into oblivion. One of the biggest advantages of Brexit has been escaping that and we now have a thriving AI industry. Google Deepmind, Elevenlabs, Wayve, Stability, Palantir either have major offices here or based here, and a dozen smaller companies like Fetch, PolyAI, Granola and more.

like cai or polybuzz or polyai wtv its called now, i actually think they didnt allow pkit in the servr

Hawksmoor has spent 20 years building a hospitality culture that takes pride in every guest interaction. Especially the first one, which, for many guests, is a phone call. At peak times, they were missing as many as 42,000 calls a year, with no visibility into what those callers needed. Now PolyAI answers every call across all 14 sites, around the clock: → 80,000 covers booked → Missed call rate reduced from 20% to zero → 90% guest satisfaction score For a brand built on the quality of every touchpoint, the phone now delivers to the same standard as everything else they do. Hear from Alex Grace-Smith, Hawksmoor's Group Head of Reservations, and read more about Hawksmoor's story: poly.ai/en/customers/Hawksmo…

Every Google search you've ever made runs on math invented by a British woman you hardly have heard before. Her name was Karen Spärck Jones. In the early 1970s at Cambridge, she created "inverse document frequency" ,the technique search engines still use today to decide which results matter. She spent her career fighting for women in computing. She died in 2007, largely unknown outside her field. Now Britain has put her name on something bigger. The Spärck AI Scholarships , the UK's boldest talent bet yet Here is the UK Govt plan: build a scholarship with the prestige of Rhodes, Marshall or Fulbright but for AI. The first 100 scholars start this October. now what they will get: Fully funded Master's at one of 9 elite universities like Oxford, Cambridge, Imperial, UCL, Edinburgh and more £22,000 tax free stipend on top of full tuition Placements at top UK AI firms (Darktrace, Faculty, PolyAI) and inside the AI Security Institute itself A national cohort network , 100 future leaders who all know each other Backed by £17.6 million, open to both UK and international students. the UK already produces around 46,000 AI relevant graduates a year , the most in Europe. The problem was never volume. It was keeping the best ones and fixing the imbalance as only 22% of UK AI and data science roles are held by women. This scholarship attacks both at once and its not an isolated move ,it comes straight from the same national AI plan that built Britain's supercomputers and funded its chip startups. Piece by piece, the machine is being assembled.

Todos gritaran los goles en sus mundiales menos el negro de OLISE porque quiere farmear aura, ya veremos cuánta aura farmear cuando le haga un bot en polyai y abuse sexualmente de el

Deloitte's 2026 survey: 41% of inbound calls are now handled entirely by AI voice agents. Leading deployments hit 70-87%. That spread — 41% to 87% — is the most important number in CX right now. The 41% average means most deployments are working. But the 87% ceiling (PolyAI's published benchmarks) means the gap between average and best-in-class is 46 percentage points. That's not a technology gap. That's an implementation gap. Here's what changes when you go from 25% to 70% AI containment: **Team structure flips.** At 25% containment, you're augmenting agents. At 70%, you're redesigning the entire queue. The humans that remain are handling escalations, edge cases, and high-value conversations that AI genuinely can't resolve. Different skill set. Different pay. Different retention strategy. **Staffing math changes.** At 25% containment, you're reducing overtime. At 70%, you're restructuring headcount planning entirely. The hiring model shifts from "how many FTEs to handle volume?" to "how many specialists to handle what AI can't?" **Customer expectations reset.** Once your containment rate crosses ~50%, customers stop being surprised by AI and start having expectations about what it should know. The error tolerance drops. The quality bar rises. You can't coast on novelty. The 34% of CX operations not using AI voice agents in 2026 face a compounding disadvantage. Every quarter of delay is a quarter their competitors are training models, refining prompts, and learning what actually drives containment higher. The best time to deploy was 18 months ago. The second-best time is now — before the gap between average (41%) and laggard (0%) becomes industry-defining. At Ender Turing, we work with contact centers navigating exactly this transition. The operations that will lead in 2027 are the ones getting the implementation right now, not just the technology. Source: Deloitte 2026 Contact Center AI Survey / PolyAI containment benchmarks

London keeps proving that great startup ecosystems are built on talent density, global access, and ambitious founders. Exciting to see the stories behind Apoha, PolyAI, Valyu, and Zego—and how the next generation of companies is scaling from London to the world. 🚀

Voice AI now handles 80% of calls without human intervention. PolyAI is reporting 87% containment in early deployments. Cost per automated call: ~$0.40 vs $7-12 for human agents. Gartner projects $80B in contact center labor savings globally by end of 2026. The numbers look like an easy ROI story. They're not. There's a distinction vendors don't lead with: **Containment rate ≠ resolution rate.** A call is "contained" when the customer hangs up without reaching a human. It's "resolved" when their actual problem is solved. These are different numbers. Often very different. At 80% AI containment, your operational baseline just shifted. But your QA processes, CSAT benchmarks, and coaching playbooks were built for a world where humans handled 70-90% of volume. That entire measurement framework is now wrong. The questions that matter at 80% containment are different: - What does "good" CSAT look like for AI-handled calls vs human-handled calls? (Different baselines, different levers.) - How do you QA at scale when the "agent" produces 50,000 calls/day? You can't sample 5% and call it done. - What's your escalation design? The 20% of calls that DO reach humans are your hardest cases. Your team just became a specialist unit, not a generalist one. - How do you detect containment-without-resolution before it tanks loyalty metrics 60 days from now? The companies getting 80% containment AND improved CSAT didn't just deploy voice AI. They redesigned the entire operational layer around it before launch. Plumbing first. Always. The $0.40/call economics are real. The measurement redesign is the hidden project nobody scoped. → Running autonomous agent systems at scale: github.com/johniosifov/Auton…

PolyAI Makes Enterprise Conversational AI Self-Serve: The conversational AI vendor behind Marriott and FedEx deployments is offering two months free access to its Agentic Dialog Platform. Continue reading... vktr.com/customer-experience… #customerexperience #agenticcx

🚨 $NVDA - NVIDIA’S VC PORTFOLIO SHOWS WHERE THE NEXT AI MEGA-TRENDS MAY EMERGE 🤖🚀 NVIDIA isn’t just dominating AI chips. It’s quietly building exposure across: ⚡ AI software ⚡ robotics ⚡ quantum computing ⚡ biotech ⚡ industrial AI ⚡ energy and ⚡ autonomous systems. 📊 SOME OF NVIDIA’S NOTABLE INVESTMENTS 🤖 AI / Foundation Models • Luma AI • Synthesia • TwelveLabs • PolyAI • Exa 🧠 Robotics / Physical AI • Figure AI • Physical Intelligence • Outrider • Moon Surgical • Machina Labs ⚛️ Quantum Computing • PsiQuantum • Quantinuum • QuEra ⚡ Industrial / Engineering AI • PhysicsX • nTop • PassiveLogic • Terray 🧬 AI Biotech • Generate Biomedicines • Genesis Therapeutics • Superluminal Medicines ☢️ Energy / Infrastructure • TerraPower 💳 Fintech / Platforms • Revolut 👉 Core takeaway: NVIDIA is increasingly positioning itself at the center of: 🌍 the entire next-generation technology ecosystem. 📈 WHAT THIS ACTUALLY SIGNALS This portfolio reveals where NVIDIA believes: ⚡ the biggest future compute demand will emerge. The company appears heavily focused on: 🧠 autonomous AI systems 🤖 robotics ⚛️ quantum computing 🧬 AI-driven drug discovery 🏭 industrial AI ⚡ physical-world AI infrastructure 🤖 “PHYSICAL AI” MAY BE THE NEXT MASSIVE WAVE One of the most important themes: NVIDIA is aggressively backing: ⚡ robotics ⚡ physical intelligence. That suggests the company believes: the next AI revolution extends beyond: 💻 chatbots and into: 🌍 real-world autonomous systems. ⚛️ QUANTUM COMPUTING EXPOSURE IS VERY NOTABLE Investments in: ⚛️ PsiQuantum ⚛️ Quantinuum ⚛️ QuEra show NVIDIA wants exposure to: 👉 post-classical computing architectures too. The company increasingly appears determined to remain central to: 🌍 future compute infrastructure regardless of platform shifts. 🧬 AI BIOLOGY IS ANOTHER HUGE SIGNAL NVIDIA’s biotech investments suggest: 🧠 AI-driven drug discovery may become: 👉 one of the largest compute markets in the world. The convergence of: ⚡ AI 🧬 biology could become a multi-trillion-dollar industry over time. ☢️ TERRAPOWER INVESTMENT STANDS OUT The TerraPower exposure is especially important. It reinforces a growing market realization: ⚡ AI infrastructure growth requires: ⚡ massive energy expansion. NVIDIA increasingly appears aware that: ☢️ power generation may become one of AI’s biggest bottlenecks. 🌍 NVIDIA IS EVOLVING INTO AN AI EMPIRE The company is no longer just: 🧠 GPUs It now spans: ⚡ compute 🤖 robotics ⚛️ quantum 🧬 biotech 🏗 infrastructure ☢️ energy 🌍 sovereign AI ecosystems NVIDIA increasingly resembles: 👉 a full-stack future technology platform. 🔥 BIGGEST THEMES NVIDIA APPEARS TO BE BETTING ON 🟢 Agentic AI 🟢 Robotics / humanoids 🟢 Autonomous industrial systems 🟢 AI drug discovery 🟢 Quantum computing 🟢 AI-generated video/media 🟢 Energy infrastructure for AI ⚠️ WHY THIS MATTERS FOR INVESTORS NVIDIA’s venture activity often acts as: 👀 an early signal for where the AI ecosystem may evolve next. The company has visibility into: ⚡ compute demand trends before most of the market. 💭 CONCLUSION This portfolio shows NVIDIA is not merely building: an AI chip company. It’s building exposure across: 🌍 the next generation of civilization-scale technologies. And increasingly: the future AI race may involve not just: 💻 software models, but: 🤖 robots ⚛️ quantum systems 🧬 biology ☢️ energy and 🌍 physical-world intelligence. 👀 KEY QUESTION Are NVIDIA’s venture investments revealing the next trillion-dollar technology categories before the broader market fully realizes them?

When my hg lowk Yelling at me For not reacting to her 30 robux troll on an Obby cuz i was too busy on polyai premium Getting skimpy bikini pics From tanimura but im lowk getting us out Of the trenches so i Genuinely ignore her on some Me sht

When you handle over a million calls a month for members getting to dialysis and oncology appointments, every single one has to be answered. SafeRide Health's call volume doubled year over year, and hiring enough people to be there at all times wasn't possible. They needed a way to be there for members in the moments that mattered most. That's why they chose PolyAI. Together, we created an agent with a voice that their members could trust, with the reliability to perform at scale, and the accuracy to get every interaction right. Steven, their PolyAI agent, now handles over a million calls a month, ensuring every member gets through. They've saved 47,000 agent hours on authentication alone. As Ben Salter, Chief Product Officer and Co-Founder at SafeRide Health, says: "If you want a 99% on-time fulfillment rate, a 4.8-star member rating, and 97% on-time performance, you need AI automation. It's the only way you maintain member experience and costs." Read the full story: poly.ai/en/customers/SafeRid…

今天看到英伟达旗下的风投NVentures新入了法国一量子计算公司，有点意思 他们官网写着Investing in What Comes Next，投资下一个风口 投的都是私企（其中只有一家ipo了），这里面可能有alpha，我整理了一下，值得一看： AI工具 Contextual AI（企业级LLM检索与上下文基础设施） Factory AI（软件工程AI工具） Fal（高性能生成AI模型推理平台） Exa（AI Agent专用嵌入搜索） Twelve Labs（视频理解基础设施） Samaya（企业复杂工作流高级推理AI） Unstructured（非结构化文档处理） MindsDB（数据中心AI应用开发） PolyAI（企业客服语音AI） 机器人 Flexion Robotics（机器人部署与真实世界影响） Physical Intelligence（通用机器人基础模型） Skild AI（机器人基础模型） DYNA Robotics（机器人自动化） Generalist AI（通用机器人） FieldAI（具身智能风险界限基础模型） Bedrock Robotics（建筑业自主系统） Carbon Robotics（激光除草机器人） Outrider（物流枢纽自主操作） 量子计算 PsiQuantum（容错光量子计算） Quantinuum（离子阱量子硬件 软件） QuEra（中性原子量子系统） Alice & Bob（猫量子比特，2026年5月最新投） 生物科技创新药 Proxima (VantAI)（AI原生药物发现） Relation Therapeutics（AI驱动疾病生物学平台） Generate Biomedicines（创新生物制药，已IPO，美股代码是 $GENB） Charm Therapeutics（DragonFold药物发现平台） Genesis Therapeutics（深度学习 分子模拟药物发现） Terray、Evozyne、Inceptiv、Vilya、Therapeutics、SuperLuminal（AI 生物/小分子药物） Abridge（临床对话转结构化病历AI，已成独角兽） AIdoc（放射与急诊临床AI） ArsenalBio、Moon Surgical（生物/手术机器人） 能源 Redwood Materials（电池材料回收，AI数据中心供电） Commonwealth Fusion Systems（商业核聚变） TerraPower（下一代核反应堆） Emerald AI（AI能源优化） 其他硬科技 PhysicsX（物理模拟AI，已深度集成NVIDIA CUDA-X） Luminary Cloud（工程仿真可视化） CuspAI（材料与分子发现AI） Freeform Machina Labs Seurat nTop（先进制造与计算设计） Luma Labs（3D AI / 空间智能） World Labs（Large World Models，3D世界感知生成） Synthesia（企业AI视频生成） OpenRouter（AI路由，已成独角兽） Revolut（金融科技超级App） Lightning（低代码AI应用）

Last month, Elena Shabanova joined Dex as our Founding Product Designer. Everything she showed us was anchored in the same question: what does our user need? Before Dex, Elena spent 3 years at PolyAI, one of the first conversational AI companies in the world, building products 0 to 1. She has the rare blend of product, design and user thinking that is essential to build well. And since joining, she’s put that to work - speaking to lots of users and already making big upgrades to the product experience. Buzzing to have her on the team. Welcome, Elena.

PolyAI ($750M val). Welcome to Toronto!

🇨🇦 PolyAI is coming to Toronto! Toronto has one of the deepest concentrations of AI talent anywhere in the world, and our North American customers are growing fast. Being on the ground means we can move with them and recruit the teams who will define the next phase of our platform. Our team there will be focused on agent design, deployment engineering, and business development. Read about where we're headed next: poly.ai/blog/PolyAI-makes-fo…

Stage 0 → Silicon Valley. > 8 weeks in SF • For non-US founders • Pre-idea/pre-team welcome • 40 spots > $250K investment round-closing support • Backed by Collisons, Hassabis, Hoffman, Schmidt > Alumni: Cleo • Aztec • Gensyn • PolyAI • Neptune • Magdrive apply: join-thebridge.com