B2B ad examples
473 B2B ads are live on LinkedIn right now, from 210 companies. Browse real ones, filtered by industry.
- AMBER AI & Data Science Solutions GmbHSince 16 Feb 2026
KI-Infrastruktur für Universitäten: Von der Vision zur Realität Gemeinsam mit NVIDIA haben wir einen praxiserprobten Fahrplan entwickelt, der bereits eine Vielzahl an Universitäten zum Erfolg geführt hat. ✅ Bedarfsanalyse statt Bauchgefühl ✅ Skalierbare NVIDIA AI-Infrastrukturen ✅ Change Management für alle Fakultäten ✅ Die richtige Lösung für alle Institute Das Ergebnis: Hochschulen, die ihre KI-Ambitionen in messbare Forschungserfolge verwandeln. Unser kostenloses eBook “The Roadmap to Becoming an AI University” zeigt die 5 kritischen Erfolgsfaktoren. 🔗 Jetzt herunterladen: https://lnkd.in/e8zj96TV
- ama.kiSince 20 Feb 2026
Sie möchten KI im Unternehmen einsetzen – aber sicher, DSGVO-konform und auf EU-Servern? ama verbindet Ihre internen Wissensquellen zu einer eigenen KI-Plattform – gehostet in Deutschland & Schweden. Jetzt Überblick anfordern.
- ama.kiSince 19 Feb 2026
Sie möchten KI im Unternehmen einsetzen – aber sicher, DSGVO-konform und auf EU-Servern? ama verbindet Ihre internen Wissensquellen zu einer eigenen KI-Plattform – gehostet in Deutschland & Schweden. Jetzt Info Doc anfordern.
- Almawave LabsSince 14 Apr 2026
Voce, immagini e testo elaborati insieme: la multimodalità sta ridefinendo il modo in cui professionisti e cittadini interagiscono con l'IA , aprendo nuovi scenari applicativi in diversi ambiti. Un'evoluzione che non riguarda solo la tecnologia, ma il modo in cui le organizzazioni affrontano le sfide operative di oggi. Leggi il nuovo articolo del nostro blog: https://lnkd.in/dysMTWbw #mutimodalita #AI #LLM
- Almawave LabsSince 21 Apr 2026
E se l’intelligenza artificiale potesse trasformare la gestione delle richieste dei clienti? Case Automation è uno strumento che analizza e classifica i messaggi in arrivo, li smista verso i team corretti e genera bozze di risposta arricchite con dati provenienti dai sistemi interni e dalle knowledge base. L’obiettivo è ridurre il tempo necessario per rispondere a una richiesta, instradandola in modo fluido e raccogliendo lungo il percorso le informazioni rilevanti. In questo modo, l’operatore umano non deve fare altro che validare e inviare la risposta, concentrandosi sulla qualità del servizio invece che sulle attività ripetitive. Scopri di più: https://lnkd.in/dRU9MiJX
- AI/RRecorded 4 Sept 2026
Acelere seu processo de recrutamento enquanto reduz custos com Llia, a agente conversacional multimodal que parece uma entrevistadora real.
- AI/RRecorded 4 Sept 2026
Acelere seu processo de recrutamento enquanto reduz custos com Llia, a agente conversacional multimodal que parece uma entrevistadora real.
- AILiveSimSince 6 Jun 2026
Bring your team the simulation edge with our Starter Packs Get a guided, hands-on introduction to AI-powered simulation with preconfigured environments built to help you test, validate, and move faster in autonomous systems development. Each Starter Pack gives you everything you need to get started quickly: - Ready-to-use configuration files - Predefined scenarios for immediate testing - Simulation license key and plugins - Flexible, credit-based usage - Clear step-by-step documentation - Fixed cost Whether you’re exploring intelligent system testing, counter-drone, airport ground operations, or USV and UAV interception, Starter Packs give you a fast track into simulation, and a path to more complex, customer-specific use cases. Choose the Starter Pack that fits your needs and join the next cohort!
- AkkioSince 16 Jun 2026
We're excited to partner with Mediaplus Group on Plus. AI, a global AI steering system that brings the agency's collective intelligence across markets, brands, and client teams into a single connected environment. The challenge Mediaplus set out to solve is one the entire industry faces: data, knowledge, and applications often exist in silos, making it difficult to scale AI effectively across a global organization. Plus. AI is their answer. Powered by Akkio, Plus. AI helps connect data, knowledge, and workflows across the organization, giving teams a smarter way to access and act on intelligence at scale. As Jon Reilly, Akkio CEO and Co-Founder, puts it: "Mediaplus operates across dozens of markets with data ownership distributed across teams and geographies, exactly the environment Akkio is built for. Plus. AI shows what's possible when AI infrastructure can handle that complexity." Read the full story here below #MarketingAI #MediaAgency #MediaCompany #AIInfrastructure
- AkkioSince 16 Jun 2026
Powered by Akkio, Plus. AI helps connect data, knowledge, and workflows across the organization, giving teams a smarter way to access and act on intelligence at scale.
- Tongyi LabSince 10 Jul 2026
Introducing our latest research: Wan-Streamer — an end-to-end omni-modal understanding and generation model designed for real-time duplex interaction. One model. Listens, watches, understands, and responds with synchronized speech and video. Just a single native-streaming Transformer that runs a full duplex video conversation at ~550ms total latency. New in v0.2: higher resolution (640×368, 25 FPS), ~200ms model-side latency. 📄 Paper (Wan-Streamer v0.2): https://lnkd.in/g6t6BZ7T 🌐 Website: https://lnkd.in/gZfYsB6K 📝 Blog: https://lnkd.in/g2XSidvb More demos in the blog 👆
- Alibaba Cloud GlobalSince 27 Aug 2026
🚀 QwenWork International Edition is here! Alibaba's all-in-one workplace AI agent is now in public beta for global users — web & desktop. What it does: ✅ Describe tasks in natural language — the agent does the work for you ✅ Awareness: an agent that learns how YOU work, across sessions ✅ Build & deploy live web apps in one flow — no code, no servers ✅ Native image, video & audio generation — a full multimodal toolkit ✅ Basic & Advanced model tiers, powered by leading AI models Built for fast-growing markets across Asia, the Middle East, and Latin America — with enterprise-grade support from Alibaba Cloud's global infrastructure. Try it now 👉 https://lnkd.in/eQyPARif #QwenWork #AIagent #WorkplaceAI #Productivity #AlibabaCloud #Qwen
- Alibaba Cloud GlobalSince 26 Aug 2026
Wan3.0 for Deep-Dive Explainers Dense, technical documents rarely get read the way they deserve to be. Wan3.0 turns a DOC, XLS, TXT, or MD file into a clear 30-second explainer, the substance intact, just easier to actually sit through. Give any kind of input, and get cinematic output. · Alibaba Cloud Model Studio: https://lnkd.in/eaDfuuFK · Qwen Cloud: https://lnkd.in/evfvF78C #LetsWanIt #AlibabaCloud #Wan #QwenCloud
- Tongyi LabSince 20 Jul 2026
Create lessons kids will actually enjoy with Wan Video! Why settle for boring slides when you can create stunning storybook lessons? With the new SlideX feature in Wan Video, creating presentations is a breeze
- AI21 LabsSince 23 Aug 2026
Your cheap AI agent probably already found the right answer. It just didn’t pick it. That’s the thing we kept running into over the past few months, working on making AI agents better at web research. When an agent gets a question wrong, the instinct is to buy a smarter model. That works. It’s also the most expensive option on the table. But give it a few attempts and a correct answer usually shows up somewhere in the pool. It just doesn't get selected. Majority voting doesn't fix this either, because it can't overturn a consensus on a wrong answer, and cheap pools are where that happens most. So the bottleneck is selection, not generation. The real job is curating the candidate pool: dropping the incorrect candidates without discarding the correct ones. And that's a much easier problem than generating the answer in the first place. So instead of improving the answering, we added a second agent whose only job is to check: given a question and a proposed answer, go research it on the web, come back with a verdict — valid or not. It worked. State of the art on FACTS-Search, DeepMind’s web research benchmark. It was also brutally expensive: the judge re-researches every candidate, so it ended up costing more than generating the answers in the first place. So we trained our own small 8B judge. Two approaches failed: → Imitation alone — it learns to search, but the verdict comes out fuzzy. The lesson gets spread across thousands of tokens, while the actual decision lives in one. → Reinforcement learning alone — no competent starting policy to explore from, so it gets stuck and never converges. Imitation first, then RL. That worked. We kept nearly all the quality at 3.2x lower cost. How you run your models matters more than which model you run. Guy Freund Niv Granot Yuval Belfer AI21 Labs. Full write-up 👇 https://lnkd.in/dSdKeqw2
- AI21 LabsSince 23 Aug 2026
Adding a verifier elevates every agentic AI system - but frontier verifiers are expensive. The good news: you can train a dedicated verifier and serve it at a fraction of the cost. In agentic search, the right answer is usually already in the pool. The system just doesn’t pick it. Majority voting can’t fix that. It simply ratifies whatever the crowd already believes, even when the crowd is wrong. What works: an independent verifier that re-researches every candidate and vetoes the bad ones. Only the survivors get voted on. On Google DeepMind’s FACTS-Search: • Frontier verifier: 83.3 → 93.4 (past published SOTA of 89.4) • Our trained 8B verifier: 92.9 at 3.2× lower cost It also generalizes to a new benchmark and search tool it never saw during training. This is the kind of result I like most - not just throwing a bigger model at the problem, but finding a better way to decide which answer to trust. Great work by Guy Freund, Eran Goldstein, Niv Granot & Yuval Belfer. Full post + training details → https://lnkd.in/gqgUJsfx
- AibleRecorded 4 Sept 2026
The State of Enterprise GenAI Report surveyed over 100 companies to see how they plan to launch generative AI for business use cases.
- AibleRecorded 4 Sept 2026
5 revealing stats about the pivotal role of Generative AI for the enterprise: - Projected Generative AI Spending - Enterprise Bans on Generative AI - Integrating Generative AI in Enterprise - Accelerating Value with Generative AI - Avoiding Pitfalls with Generative AI
- AIAIAISince 8 Sept 2025
Eén model hallucineert. AIAIAI laat model A model B controleren en bronnen verifiëren. Resultaat: adviesstukken, offertes en juridische documenten waar je op kunt vertrouwen. Zonder extra werk voor je team. 👉 Nu 2 maanden uitproberen https://aiaiai.eu/nl/
- AIAIAISince 9 Sept 2025
Geopolitiek onrustig? Dan wil je grip. AIAIAI draait in Europa met dataresidentie, logging en audit-trails. Jij bepaalt wat het platform ziet, en wat niet. Zo stop je schaduw-AI, houd je regie en voorkom je dat data weglekt naar de VS. 👉 Probeer 2 maanden, zonder vendor-lock-in https://aiaiai.eu/nl/
- AIEEVRecorded 4 Sept 2026
🚀 What really happened at SK AI Summit 2025? Last week, AIEEV joined the AI Startup Zone at SK AI Summit — and something interesting happened. We met dozens of teams struggling with the same challenge: “How can we scale AI services without overspending?” Many were surprised to see how Air Cloud connects idle GPUs from consumers and enterprises to build a fully distributed inference cloud — no single data center, yet fully orchestrated and auto-scaling. If you’re curious about how that works in real service environments (and what kind of impact it can make), we’d love to share more — and yes, we’ve still got a few special gifts left for those who reach out. 🎁 Let’s talk. 👉 https://lnkd.in/gN4zpzy3 | DM us anytime #AIEEV #AirCloud #SKAISummit #AIInfrastructure #DistributedComputing #GPUpower #StartupZone - 🚀 SK AI 서밋 2025, 현장에서 들은 진짜 이야기 지난주 코엑스에서 열린 SK AI Summit 2025에 AI Startup으로 선정된 AIEEV도 함께했습니다. 행사에서 가장 많이 들은 질문은 단연 이거였어요. “데이터센터 없이도 AI 서비스를 확장할 수 있나요?” Air Cloud가 소비자와 기업의 유휴 GPU를 연결해 완전히 분산된 AI 인퍼런스 클라우드를 만든다는 사실에 많은 관계자분들이 관심을 가져주셨습니다. 특히 데이터센터 없이도 오케스트레이션과 오토 스케일링이 가능하다는 점이 특히 인상 깊었다는 피드백이 많았습니다. 혹시 Air Cloud가 실제 서비스에서 어떻게 작동하는지, 또 비용이나 속도 측면에서 어떤 차이가 있는지 궁금하시다면, 짧은 대화로 자세히 공유드릴게요. 이번 행사에서 준비했던 스페셜 기프트도 아직 조금 남아 있습니다 :) 👉 https://lnkd.in/gN4zpzy3 궁금하신 분들은 언제든 DM 주세요. #AIEEV #AirCloud #SKAISummit #AIStartupZone #분산형GPU클라우드 #AI인프라 #스타트업
- AE StudioSince 27 Jan 2026
Most airlines look at market averages. The revenue hiding at the flight level? They never see it. Pricing gaps. Misallocated fare classes. Demand spikes before departure. One airline found $100M by looking closer.
- AE StudioSince 27 Jan 2026
Same email to 50 million passengers. Most of them ignore it. AI builds personas from behavior and writes messages that match. "Ready for your 5th trip to SF, Alex?" Demand surge alerts. Timing optimization.
- Adaptive ML (acquired by Datadog)Since 5 May 2026
"RL is the state of the art. What most people miss is what it takes to actually get it into production." Our Co-Founder and Chief Customer Officer, Alessandro Cappelli, on why reinforcement learning isn't just a research win. It's what closes the loop between feedback and iteration, and it's what gets specialized models into production at companies like AT&T, Manulife and CCS. Watch the full clip below.
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