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Most enterprise organization’s AI intake process is a spreadsheet, three Slack threads and someone's memory. Credo AI is the system of record for enterprise AI governance. Every use case, model, agent and connector in one place, with the approval trail and the evidence already mapped to the frameworks you report against.

When an AI use case takes a quarter to approve, the business stops asking and ships anyway. Credo AI is the system of record for enterprise AI governance. Every use case, model, agent and connector in one place, with the approval trail and the evidence already mapped to the frameworks you report against.

“Booked out” usually means booked to someone else's contract. Type the cluster you need and see who actually has capacity today.

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Making a big decision? The right person to learn from isn’t always in your network. Describe what you’re facing. Delphi finds people who’ve been there and lets you explore their perspectives and ask follow-up questions

Our client needed native fluency in English, Malay, Mandarin, and Cantonese, not just translation. We engaged 92 language experts in an average of 14 days and hit 96.39% accuracy.

We have signed $70 million in commercial contracts over a 12-month period and is on a path to operating breakeven — high-end autonomy on a software company’s economics. Physical AI has its own scaling law, and ours is capital-efficient: more capability per dollar of data, compute and fleet. One foundation-model platform, trained with unsupervised learning on the structure of the physical world, runs on mass-market automotive-grade compute with a fraction of the typical data, and carries a single model lineage from L2+ passenger vehicles to heavy industrial equipment and robotics. By the numbers: 🔵 $70M in commercial contracts signed over a twelve-month period, across global automotive OEMs, Tier 1 suppliers and industrial automation companies 🔵 Perception, full-stack ADAS/autonomous driving, automated data labeling and generative simulation on one platform 🔵 Production-bound vehicle programs in deep integration with next-generation architectures ahead of start of production 🔵 Production-track deployment beyond the road: perception for heavy industrial equipment in open-pit mining That is what capital-efficient scaling looks like for physical AI: the economics of a software business, applied to the physical world. Read more: https://lnkd.in/gUGjuWTP #AutonomousVehicles #PhysicalAI #Robotics #DeepTech #AI #Automotive #HelmAI

AI loops are what everyone's talking about right now, as teams want to know the best way to build a better AI system. But more data isn't always the answer. Sometimes, less is more. We break down how an AI feedback loop turns production failures into targeted data refinement and sharper evaluation. Read the full article: https://lnkd.in/d_iAm87s/?utm_campaign=Chemin&utm_source=linkedin&utm_medium=paid&utm_id=758889616&hsa_acc=514677172&hsa_cam=758889616&hsa_grp=910387096&hsa_ad=1635871396&hsa_net=linkedin&hsa_ver=3 Building a data workflow that keeps your AI improving? Let's talk: chemin.com/contact

You don't need a sales call to price a dedicated node. Tell us the GPU, the count and the duration — we come back with availability and pricing.

Most job titles don’t reflect the real work being done. At Digital Futures, we match experienced Data, AI, and Transformation Consultants with enterprise projects where technology directly drives business outcomes. Explore our experienced consulting opportunities today.

Are you an experienced tech consultant who can translate complex data and AI capability into clear business value? Digital Futures is hiring experienced engineers, analytics leads, and transformation specialists. Discover how you can deliver high-impact client projects.

🔎 Ile narzędzi AI działa dziś w Twojej organizacji poza wspólnym standardem bezpieczeństwa, kosztów i dostępu do danych? Pojedynczy chatbot dla HR, osobny asystent dla sprzedaży, eksperyment RAG w dziale prawnym. Każde rozwiązanie może być wartościowe, ale bez wspólnej warstwy zarządzania powstaje jednak kosztowny i trudny do audytu patchwork. Extentum AI porządkuje ten krajobraz w jednym, bezpiecznym środowisku dla całej organizacji. ✅ Buduj agentów i workflowy dla konkretnych procesów. ✅ Łącz AI z firmową wiedzą oraz systemami, takimi jak CRM czy ERP. ✅ Zarządzaj dostępami, modelami i integracjami centralnie. ✅ Monitoruj użycie, koszty oraz działania agentów. ✅ Wdrażaj on-premises lub w private cloud, zachowując kontrolę nad danymi. To nie jest kolejny punktowy eksperyment z GenAI. To fundament, na którym można bezpiecznie skalować AI w całej organizacji. Chcesz zobaczyć, jak może wyglądać jedno środowisko AI dla Twojej firmy? Porozmawiajmy: https://lnkd.in/e8mk4xde #AI #ExtentumAI #EnterpriseAI #AIGovernance #JednoŚrodowiskoAI

Za nami trzy intensywne dni Targów World of AI & BIG DATA EXPO. Dziękujemy za inspirujące rozmowy o tym, jak wdrażać GenAI w organizacjach tak, aby wspierała realne procesy biznesowe. 🤝 Mamy też powód do dumy: otrzymaliśmy tytuł Eksperta Branżowego. To dla nas potwierdzenie, że rozwijamy rozwiązania odpowiadające na konkretne potrzeby firm. 🏅 Podczas rozmów najczęściej wracały trzy tematy: ✅ RAG i wiedza firmowa - jak budować agentów AI, którzy odpowiadają na podstawie zweryfikowanych dokumentów i źródeł organizacji. ✅ Włączenie zespołów biznesowych - nawet przy wsparciu technicznym kluczowa wiedza o procesach, wyjątkach i zadaniach pozostaje po stronie osób, które wykonują je na co dzień. ✅ Powtarzalność procesów - GenAI potrzebuje jasno określonych reguł biznesowych, kontroli i właściwie zaprojektowanych scenariuszy, aby jej działanie było przewidywalne. Jeśli chcesz przejść od PoC do działającego procesu biznesowego, umów się na demo: https://lnkd.in/edEFX9cu. Pokażemy, jak może wyglądać bezpieczne wdrożenie GenAI w Twojej organizacji. Dziękujemy wszystkim, którzy odwiedzili stoisko C14. Do zobaczenia na kolejnych wydarzeniach: AI Summit, Państwo 2.0 i CIO Trends. 👋 #AI #ExtentumAI #WorldofAIandBIGDATA #PlatformaGenAI #PolskaTechnologia

Its a new era, AI intelligence is too cheap to meter. We figured out how to replace opus to <$0.1/M tokens at scale; GLM 5.2 @ 1,482 tok/s with just 4xMi325x. 3x cheaper then B300's, 10x cheaper then Opus, All with dedicated AMD GPU's, all at Featherless AI Find out how we did it here: https://lnkd.in/gJjXZbVx

When Department of the Navy CTO Justin Fanelli spoke with TechCrunch recently, he made it clear, applied AI is the Navy's top technology priority. In that same interview, he noted that Domino Data Lab is now running the Navy's machine learning pipeline. That mention is a great honor, but it also highlights a deeper challenge across defense agencies. It doesn’t matter how fast AI evolves if federal acquisition pathways can’t keep up. Traditional acquisition can take long enough that the technology, requirements, or mission needs change before a contract is awarded. The core issue is that government procurement often can’t keep pace with commercial AI development. That’s why the Navy's new National Security Prototype to Production Consortium is such an important step forward. By using Other Transaction Authority, the consortium allows program offices to move working prototypes into production without forcing them to launch a brand new competition at every stage. Equally important, members commit to strict composability standards so software plugs cleanly into existing systems instead of sitting in an isolated silo. I have seen firsthand why this works. On Project AMMO, the Navy brought in Domino as the software integration layer across multiple vendors. By separating software updates from hardware cycles, deployment times dropped from six months down to six days. The consortium scales that concept across the entire Department of the Navy. I am proud that Domino is an inaugural member. For Navy program offices looking to move applied AI into the field today, the framework to make it happen is officially in place. Project AMMO case study: https://lnkd.in/ewiTpCvf

🇺🇸 Heading to San Francisco next week? Connect with AIEEV at TechCrunch Disrupt 2026! TechCrunch Disrupt 2026 is just around the corner! Selected as one of the Startup Battlefield 200 top early-stage startups from thousands of global applicants, AIEEV is heading to Moscone West from Oct 13–15. As AI agents become more sophisticated, the biggest engineering hurdle isn’t just building models—it’s sustaining the rapidly scaling costs and operational load of continuous inference, search, and tool-calling. That’s exactly where AirCloud comes in. Instead of waiting months on expensive new data center builds, AIEEV unifies distributed GPU resources into a seamless, enterprise-ready AI inference cloud. Backed by ISO/IEC 27001 certification, we are already powering AI cloud environments for 300+ organizations across the industry. Are you attending Disrupt 2026 or looking to optimize your enterprise AI inference costs? We’d love to meet you in person! 👉 Schedule a Meeting with Our Team: https://lnkd.in/gAZi38tJ See you in San Francisco! #TechCrunchDisrupt #StartupBattlefield200 #AIEEV

Beim Bavarian Data Summit durften wir Wirtschaftstaatssekretär Tobias Gotthardt basebox vorstellen. Seine erste Frage traf den Kern: Wo bleiben die Daten, wenn Verwaltungen KI einsetzen? Die Antwort stand direkt neben uns: der eigene Server, fertig konfiguriert und einsatzbereit geliefert. Wer keine eigene Technik betreiben will, nutzt basebox Cloud in einem deutschen Rechenzentrum. Beide Wege bieten Chat, Dokumentenanalyse und eigene Apps, ohne dass eine Bürgerakte das Haus verlässt und ohne Daten im Training fremder Modelle. Starnberg, Denklingen und Utting am Ammersee setzen basebox bereits ein. Der Austausch mit Herrn Gotthardt zeigt: Die Politik erkennt, wie dringend Verwaltungen eine KI brauchen, die vor Datenschutz und Personalrat besteht. Danke für das Gespräch und das Interesse an basebox. Bild: Bayern Innovativ GmbH / Corinna Lehmeyer und danke an Elisabeth Mess und Team für die perfekte Organisation der Veranstaltung. #BavarianDataSummit #KIinderVerwaltung #DigitaleSouveränität #BayernInnovativ

Recent issues of the Clear Fracture newsletter: • An agent skill for idempotent backfills of late-arriving data • A write-audit-publish skill for agentic data pipelines • Data plumbing isn't sexy. Neither is waiting for intelligence. Practical AI and data engineering from the team building Belvedere. About twice a month, free.

Data engineers: AI is changing how pipelines get built. We write about what holds up in production: tests, lineage, review, and the agent patterns that ship. Free newsletter, about twice a month. Subscribe in one tap.

One install shows every coding agent, MCP server, skill, network destination and file your AI tools touch, and the few outside your policy. Free to start.

Claude Code, Cursor and Codex call MCP servers, run skills, reach the network and read files. See all of it across your org. One install, free to start.

What can you actually build with voice AI? Explore 5 enterprise voice workflows, from sales coaching and appointment booking to outbound feedback, dictation, and multilingual training, with code samples to help you build them.

We’re proud to be building with EY. Together, we’re encoding the way complex M&A and private equity work actually gets done: the workflows, expertise, standards and decision logic behind it. That means turning deep enterprise knowledge into governed systems that can be used, adapted and improved across real work. This is exactly the kind of problem Capitol AI was built for, and we’re excited about where it’s going. More from our work with EY soon. https://lnkd.in/dz7S2PVH