Codvo.ai

Building the foundation for sovereign AI in energy. How can energy companies turn AI investments into measurable business value while maintaining control over their data and intelligence? At the Next-Gen AI for Energy Summit 2026 (AI4E2026) in Houston, Manish Jindal, Senior Vice President & CRO, and Bala Sista, Head of Technology and Architecture at Codvo.ai, will join for a joint speaking session on: “Data Infrastructure for Sovereign AI in Energy Operations” 📅 November 3, 2026 🕔 5:10 PM – 5:20 PM CST 📍 Houston, Texas, USA The session will explore how energy organizations can build the data foundations needed to move AI beyond experimentation and into real-world operations—with measurable ROI, stronger decision-making, and control over their data and AI infrastructure. Key themes include: 🔹 Sovereign AI: Keeping enterprise data and intelligence under organizational control. 🔹 AI-ready data infrastructure: Connecting fragmented data across complex energy operations. 🔹 Technology with ROI: Translating AI investments into operational efficiency and measurable business outcomes. At Codvo.ai, we believe successful enterprise AI requires more than powerful models. It takes trusted data, the right infrastructure, and a clear path from innovation to business impact. Your intelligence. Your advantage. Book your Delegate passes now. #AI4E2026 #NextGenAI #EnergyAI #SovereignAI #DataInfrastructure #EnterpriseAI #CodvoAI Amit Verma Manish Jindal Bala Sista INDRANIL PAUL Sumeet Sadhu Codvo.ai #oilandgas OilandGas.World Arpita Chatterjee Lakshya Singh Deepak Kulkarni VISHAL JHA

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

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

How much would 30 minutes of unexpected downtime cost your data center? For most operators, the answer is measured in lost revenue, SLA penalties, and damaged customer trust. The problem? Equipment failures don’t start when alarms go off. They begin weeks earlier — hidden in patterns your BMS cannot detect. By the time alerts trigger, you’re already reacting. Codvo Predictive Intelligence Engine (https://lnkd.in/dx6dckcA helps data center teams stay ahead. Deployed read-only on your existing SCADA, BMS, and historian stack, We use physics-based AI to detect failure signatures before critical incidents occur. ✅ Predict asset failures weeks in advance ✅ Reduce unplanned outages ✅ Improve cooling efficiency ✅ Protect uptime and SLAs Don’t wait for alarms. Predict failures before they impact operations. Visit Us & Book a demo: https://lnkd.in/dHu2QsZi #DataCenters #DataCenterInfrastructure #DataCenterCooling #CriticalInfrastructure #MissionCritical #PredictiveMaintenance #PredictiveAnalytics #IndustrialAI #AssetReliability #FaultDetection #ConditionMonitoring #EnergyEfficiency #AIOps #SCADA #BMS #CMMS #CodvoAI Amit Verma Manish Jindal Vishal Sharma INDRANIL PAUL DataBank | Flexential | Encoretech Equinix | Digital Realty | NTT DATA | Iron Mountain| QTS Data Centers | CyrusOne | Switch | Yotta Data Services Private Limited | CtrlS Datacenters | Stt Gdc | Schneider Electric | Siemens | Honeywell Aerospace | Honeywell | Johnson Controls | Vertiv| Carrier HVAC| TRANE TECHNOLOGIES |

Surgeons deserve tools that match their dedication to patient care. With Codvo.ai’s leadership in digital transformation using AI and machine learning, the Surgery Scribe optimizes your workflow by creating accurate EHR-ready notes almost instantly after surgery—saving precious hours daily while ensuring compliance and standardization across platforms like Epic or Cerner.

Data centres were never designed for reactive operations. A single unexpected equipment failure can impact uptime, increase operational risk, and trigger costly downstream disruptions. Yet most maintenance systems still rely on alerts after degradation has already begun. Introducing Codvo’s Predictive Intelligence Engine — combining physics-informed AI with operational data to detect equipment degradation 2–4 weeks before failure, classify faults, and support risk-based maintenance decisions before critical systems are impacted. Built for secure, air-gapped environments, it augments existing deployments without disrupting current infrastructure. Less downtime. Smarter maintenance. Greater operational resilience. Explore the solution: Predictive Intelligence Engine https://lnkd.in/gKTg5_9b #DataCentres #PredictiveAI #PhysicsInformedAI #DataCentreReliability #SecureAI #DataCenters #PredictiveMaintenance #PredictiveAI #PhysicsInformedAI #DataCentreReliability #SecureAI #AIinDataCenters #OperationalResilience #RiskBasedMaintenance #CriticalInfrastructure #SmartMaintenance #Industry40 #DigitalTransformation | Amit Verma | Vishal Sharma | VISHAL JHA | INDRANIL PAUL | Sumeet Sadhu | Bala Sista | Manish Jindal | Arpita Chatterjee