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Build an automated workflow to detect and blur sensitive content across unstructured datasets. Schedule your demo today to see it in action.

96% of organisations have adjusted their AI infrastructure location strategy in response to geopolitical and grid conditions. Don't build your infrastructure strategy on outdated assumptions. Our latest research tracks the massive shift in AI deployment economics across the US, UK, and Europe. See the exact data on construction bottlenecks, power consumption, and shifting hardware timelines.

Why is gas suddenly everywhere in AI infrastructure? It comes down to speed-to-token due to constraints on the electrical grids in regions where gas popularity has grown. It's just the fastest way to power the GPUs generating the tokens customers actually want, and right now, speed wins. But sustainability isn't going anywhere. Every operator I talk to is signed up to ESG goals, SDGs, Scope 3 reporting especially in Europe. That stuff is shaping how people are thinking long-term, even if it's not driving today's decisions. Which is why fuel cells like Bloom Energy are starting to get really interesting. Same gas, but you're running it through an electrochemical process instead of burning it, so you strip out the sulphites and nitrogen oxides. You're still emitting CO2 unless you go hydrogen, but it's a real step forward. There's a quiet hand-off happening. Speed-to-token is calling the shots today, but the cleaner pathways are catching up faster than most people realise. Really enjoyed being part of the conversation at SES Engineering Services roundtable. Check out a clip from the day below.

🚀 Ship Faster. Switch Later. Stop wasting time on repetitive integrations. CometAPI gives you the ultimate flexibility to build and scale. 🌐 500+ Frontier Models: One single API for every model you need. 📉 Provider-Rate Pricing: Access the best rates, no hidden markups. 🧾 One Invoice: Unified billing for your entire AI stack. Build with every model. Scale without the friction. 🔗 Start building: [https://bit.ly/4cDDLeS] #CometAPI #AIAPI #APIKEY #Developers

🎥 The Future of Video AI: One Key. Every Model. Access Sora, Wan, and Flux instantly. Stop juggling multiple API keys and high costs. ⚡ Single Integration: One key for GPT, Claude, Gemini, and top video models. 📉 Lower Costs: Always cheaper than direct official pricing. 🛡️ Pro Stability: Built for scale and high availability. Don’t just follow the AI trend—lead it. 🔗 Get started: [https://bit.ly/4cDDLeS] #AIAPI #VideoAI #Sora #CometAPI #Claude #Gpt

Membership organizations are sitting on years of valuable knowledge: • Member resources • Support documentation • Training materials • Internal processes • Event content • Community expertise But most of it is difficult for staff and members to actually access when they need it. That’s where AI becomes practical. We created a free AI Blueprint for Membership Organizations showing how associations and member-based organizations are using AI to: • Improve member self-service • Reduce repetitive support questions • Make institutional knowledge instantly accessible • Create more value from existing content and expertise The results? More member sign ups, higher retention, and new non-dues revenue. Get the free blueprint.

Download free blueprint: Improve member engagement, retention, and experience with AI.

Meet Codvo.ai at Gastech 2026 | Bangkok | 14–17 September AI in energy is moving beyond experimentation. The next challenge is turning massive volumes of operational, sensor, spatial, and enterprise data into decisions that teams can act on—at the speed of operations. We’re excited to be at Gastech 2026 in Bangkok, where Amit Verma, CEO of Codvo.ai, will be joining the strategic panel: From Sensor to Action: Natural Language across Multi-Source Intelligence Modern energy infrastructure generates more data than teams can manually monitor and interpret. The opportunity is no longer simply collecting more data—it’s making that data understandable, predictive, and actionable. The panel will explore how AI-driven asset monitoring is helping energy organizations: • Surface predictive maintenance signals • Detect early signs of asset failure • Optimize operational performance • Bring together multi-source intelligence • Translate complex data into natural-language insights • Move AI from pilot projects into standard operations At Gastech 2026 event, we’ll also be connecting with leaders across Energy, LNG, Utilities, Oil & Gas, Mining, and Industrial Operations to discuss how enterprises can operationalize AI across mission-critical environments. Our conversations will cover: Sovereign Enterprise AI — AI infrastructure and intelligence designed around enterprise control, security, and governance. Agentic GIS — AI-powered end-to-end spatial workflow orchestration across GIS, enterprise systems, and operational workflows. Predictive Intelligence — Turning enterprise data into predictive signals and actionable decisions. AI for Mission-Critical Operations — Moving from insights to intelligent action across complex operational environments. 📍 Bangkok | 14–17 September 2026 If you're attending Gastech and exploring how AI can improve operational efficiency, reduce costs, and unlock more value from your existing enterprise systems, we'd be happy to connect. Meet us at Gastech 2026. 📅 Schedule a meeting: https://lnkd.in/gRenH4yy #Gastech2026 #EnergyAI #AgenticAI #SovereignAI #AgenticGIS #DigitalTransformation #OilAndGas #LNG #Utilities #Mining #OperationalAI #EnergyTechnology #AI #NaturalLanguageAI Amit Verma Arpita Chatterjee Manish Jindal Bala Sista Codvo.ai Sumeet Sadhu Lakshya Singh INDRANIL PAUL Shell Oil & Gas Company GASTEC Gastech Exhibition & Conference

Stop overpaying for AI—and stop getting locked into AI vendors.

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Your AI has a consistency problem. When every employee relies on a different AI model, consistency disappears. CollectivIQ compares leading models, surfaces agreement and disagreement, and gives teams one validated answer to work from.

AI isn't slowing down. Governance shouldn't either. CollectivIQ gives organizations centralized oversight across leading AI models without forcing teams onto a single platform.

Building something new? Here's a problem worth thinking about. When a company builds a new LNG terminal, data centre, hydrogen plant, or power facility, they're putting millions of dollars into equipment on day one. But most predictive maintenance tools need years of failure history before they can actually predict anything. So brand-new assets go live with zero protection — until enough data piles up. That's called the "cold-start problem." In his latest article, INDRANIL PAUL (Director – Product & Solutioning at Codvo.ai) writes about why old-school predictive maintenance struggles here — and how starting with the physics of the equipment, instead of waiting on historical data, can solve it. With Codvo PIE (Predictive Intelligence Engine), you don't need to wait for failures to happen before you can predict them. The system uses equipment physics and known failure patterns to start predicting risk from day one. Read the full article here → https://lnkd.in/gJKw-3iK If this is relevant to a new asset you're commissioning, a data centre you're expanding, or a platform you're building predictive intelligence into — Enquire Now to connect directly with Indranil. #LNG #DataCenters #HydrogenEnergy #PowerGeneration #EnergyIndustry #Industrial #CriticalInfrastructure #Utilities #PredictiveMaintenance #PredictiveAnalytics #IndustrialAI #AssetManagement #AIforIndustry #DigitalTwin #ReliabilityEngineering #DataCenters #HydrogenEnergy #PredictiveMaintenance #IndustrialAI #CriticalInfrastructure #Codvo Amit Verma Manish Jindal INDRANIL PAUL VISHAL JHA Bala Sista Arpita Chatterjee

Built for CS, RevOps, and revenue leaders. RevX works alongside your existing CS motion, helping teams identify and act on revenue opportunities across the full customer base. Turn long-tail NRR from an untapped opportunity into a growth driver, before another renewal cycle passes.

Most CS motions are built for your top 10 to 20% of accounts. Everyone else gets reactive service, missed expansion, and preventable churn. RevX unifies signals across product, billing, support, and CRM to identify risk and opportunity across your full customer base.

Resolve complex technical issues faster with AI tuned for silicon-scale support. Learn how Qualcomm accelerated customer resolution with RAG 2.0.

Is your team still the human glue between Salesforce, SharePoint, and Slack? Stop the endless copy-paste between enterprise systems and build a single, unified dashboard that works for you. Sign up free today.

Don't wait weeks for a fix. Identify a broken workflow this morning, describe the solution to our AI, and deploy a custom app to fix it by this afternoon.

CrewAI AMP is live on Product Hunt! If you want to share your support and give us an upvote, we would greatly appreciated. You'll find a promo code there too! https://lnkd.in/gd4SAgyP

We're holding a second virtual workshop on building teams of collaborative, tool-using AI agents (no coding required). The first one was a massive success, but we've added some amazing Studio features since then. Did you know you can use the AI copilot to build custom tools for you? That's not all. Sign up, and let's a build crew together!

Join Rajiv Shah on Wednesday, November 19, at 11:00 AM PT for a live webinar + Q&A: The Power of Context. 👉 If you're building AI in a complex domain, this is one you won't want to miss! You'll see how advances in context engineering are powering agentic RAG systems—delivering more reliable responses through smarter retrieval and multi-step refinement. Then we'll look ahead to what's next: multi-agent systems that collaborate using shared context to tackle more complex, high-stakes tasks.

Feature platform for sub-5ms inference, deployed in your VPC.

Point-in-time correctness is one of the hardest problems in ML training. Models often 'cheat' by peeking at tomorrow's data to predict yesterday's outcomes. They may look great in tests but end up faceplanting in production. Chalk prevents models from cheating - when you run offline queries with proper time bounds, you get the world frozen at that exact moment. Future transactions can't sneak into your training set. This is just one piece of our new guide on Chalk for Data Scientists. Link in comments.

Say goodbye to the boring, repetitive parts of your workday! Whether you need help drafting emails, summarizing endless PDF documents, or answering repetitive team questions, doing it together is always better. Watch how ChatChat lets you build a customized virtual co-worker right inside your group chat in just 45 seconds. Ready to meet your new favorite team member? The waitlist is officially open