INTELLIGENT CORE

"Heavy-industry AI has spent too long trapped in presentations instead of transforming field operations," said Tom Greenlees, CEO of INTELLIGENT CORE. "Operators don't need more dashboards, they need predictions and automation that works with the systems, constraints, and realities of how produced water is actually managed. Intelligent Core was built to deliver that by combining predictive and agentic AI with the next evolution of industrial-grade hardware so operators can achieve measurable ROI quickly and safely." #IntelligentCore #ProducedWaterLogistics #IndustrialAI #OilAndGasTech #WaterManagement #LogisticsAutomation #PredictiveMaintenance #EdgeAI #IndustrialInnovation #EnergySector https://lnkd.in/dTjBP3BG

Exciting Announcement! We’re proud to share that Fuel Ventures 🚀 has reinvested in Intelligent Core, deepening their commitment to our mission and our momentum. Fuel Ventures 🚀 has been an incredible partner from the beginning, and their continued belief and support reinforces the importance of our approach: combining predictive and agentic AI with integrated hardware to solve the toughest operational challenges in heavy industry. We’re grateful for their ongoing support and ready for what this next phase unlocks.

We’re proud to announce Plug and Play UK as new investors in our mission to transform industrial operations. Their global platform and expertise in scaling frontier technologies will help accelerate Intelligent Core’s growth as we roll out predictive and autonomous AI systems & integrated hardware across critical industries. Together, we’re building a more efficient, intelligent, and sustainable industrial future. #IndustrialAI #Automation #Innovation #IntelligentCore

𝐅𝐫𝐨𝐦 𝐎𝐢𝐥 𝐖𝐞𝐥𝐥𝐬 𝐭𝐨 𝐒𝐨𝐥𝐚𝐫 𝐏𝐚𝐧𝐞𝐥𝐬: 𝐇𝐨𝐰 𝐀𝐈 𝐃𝐫𝐨𝐧𝐞𝐬 𝐀𝐫𝐞 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐖𝐞𝐬𝐭 𝐓𝐞𝐱𝐚𝐬 𝐄𝐧𝐞𝐫𝐠𝐲 The Permian Basin’s energy story now includes massive solar installations alongside oil rigsOur latest Substack article explores how AI-powered drones are optimizing these solar farms in Texas: - 25,400 MW solar capacity in Texas, #1 state for solar - 22 million panels across vast West Texas installations - 300 MW Pecos County case: 7,500 → 90 inspection hours; $240 K → $75 K costs; $345 K annual benefit - 720 MW Danish Fields farm: 2.2 M panels; 99.7% uptime; $6.2 M annual value; 320% ROI in two years - Inspection efficiency: 25 hrs/MW → 15–18 min/MW - Detection accuracy: 60–70% → 95%+; coverage: 25% → 100% By applying proven AI and drone technology from oil and gas, solar operators achieve substantial cost savings, improved uptime, and safer operations. Whether you’re in renewables, oil, or both, this cross-industry intelligence is driving the future of energy. 📖 Read the full article and see how AI drones can optimize your solar operations: https://lnkd.in/e6TD8srU #SolarEnergy #DroneInspection #AIAnalytics #PermianBasin #RenewableEnergy #IntelligentCore

𝐖𝐡𝐲 𝐘𝐨𝐮𝐫 $𝟏𝟐 𝐁𝐢𝐥𝐥𝐢𝐨𝐧 𝐏𝐞𝐫𝐦𝐢𝐚𝐧 𝐁𝐚𝐬𝐢𝐧 𝐢𝐬 𝐀𝐛𝐨𝐮𝐭 𝐭𝐨 𝐁𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐝 𝐛𝐲 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐃𝐫𝐨𝐧𝐞𝐬 (𝐓𝐡𝐞 𝐖𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 𝐂𝐫𝐢𝐬𝐢𝐬 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧) Permian Basin operators: Your biggest crisis isn't oil prices—it's the 200,000 missing workers you can't find. The workforce math that's breaking operators: • 200,000+ unfilled positions across oil and gas operations • $47 million annually in overtime premiums (single operators) • 42% of workforce retiring within 10 years • 62% of Gen Z finds oil and gas careers "unappealing" Impossible economics of human operations: For 24/7 coverage on a 50-well operation: • 12 operators required per position • $87,000 average salary per operator • Total cost: $52.2 million annually just for basic coverage Real transformation happening now: A major 847-well Permian operation replaced traditional staffing: Before autonomous: • 284 full-time employees required • $31.2 million annual labor costs • 16-hour operational windows only After 18-month transformation: • 23 supervisory positions only • $7.8 million annual labor costs • 24/7 operational monitoring Net result: $23.4 million annual savings with superior performance The autonomous advantage: • 24/7 monitoring across unlimited geography • 4-minute response times vs. 30-90 minutes human average • Zero safety incidents with human exposure elimination • 50-70% operational cost reduction The competitive reality: While you're competing for 200,000 missing workers, autonomous-enabled operators are eliminating workforce dependency and capturing market share. Every day you delay: $143K daily in unnecessary labor costs Competitive disadvantages accumulating as early adopters optimize Safety risks continuing with human exposure 📖 Read our latest Substack article that goes deep into this subject: https://lnkd.in/eaCuctkV? #PermianBasin #WorkforceShortage #AutonomousOperations #DroneInnovation #OilAndGas #AIAutomation #OperationalExcellence

𝐓𝐡𝐞 𝟖,𝟎𝟎𝟎 𝐅𝐨𝐨𝐭𝐛𝐚𝐥𝐥 𝐅𝐢𝐞𝐥𝐝𝐬 𝐨𝐟 𝐓𝐨𝐱𝐢𝐜 𝐖𝐚𝐭𝐞𝐫 𝐃𝐢𝐬𝐚𝐩𝐩𝐞𝐚𝐫𝐢𝐧𝐠 𝐃𝐚𝐢𝐥𝐲 (𝐀𝐧𝐝 𝐭𝐡𝐞 𝐀𝐈 𝐃𝐫𝐨𝐧𝐞𝐬 𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐆𝐨𝐥𝐝 𝐢𝐧 𝐭𝐡𝐞 𝐖𝐚𝐬𝐭𝐞) Oil & gas executives: Every day, your industry generates enough toxic wastewater to cover 8,000 football fields with a foot of standing water. That's 2 billion gallons daily. Just from the Permian Basin. The brutal economics: Your produced water disposal is bleeding money: • $12 billion annual market in waste management costs • $200+ million annually for major Permian operators • 6-10 barrels of toxic water for every barrel of oil • 300% cost increases over five years due to regulatory restrictions But here's what is shocking: 𝑾𝒉𝒂𝒕 𝒚𝒐𝒖'𝒓𝒆 𝒄𝒂𝒍𝒍𝒊𝒏𝒈 "𝒘𝒂𝒔𝒕𝒆" 𝒊𝒔 𝒂𝒄𝒕𝒖𝒂𝒍𝒍𝒚 𝒘𝒐𝒓𝒕𝒉 𝒐𝒗𝒆𝒓 $500 𝒎𝒊𝒍𝒍𝒊𝒐𝒏 𝒂𝒏𝒏𝒖𝒂𝒍𝒍𝒚 𝒊𝒏 𝒉𝒊𝒅𝒅𝒆𝒏 𝒗𝒂𝒍𝒖𝒆. The goldmine hiding in toxic water: 💎 Lithium extraction: $50-150M annual potential from metal recovery 🔄 Recycling revenue: $0.15 vs. $3.00 per barrel (fracking water) 🏭 Industrial applications: Additional $500M+ market opportunity 📈 Total hidden value: $500M+ annually across Permian operations Real transformation: A major Permian operator was hemorrhaging $67M annually on produced water disposal: 18-Month AI Transformation Results: ✅ Disposal costs: $67M → $24M annually ✅ Recycling revenue: $31M annually from fracking ops ✅ Lithium pilot: $12M projected annual revenue ✅ Net impact: $67M cost center → $19M profit engine The AI breakthrough making this possible: 🛸 Autonomous drone networks monitoring water quality 24/7 🧠 Predictive analytics optimizing treatment processes ⚡ Real-time optimization reducing treatment costs 30-50% 🔍 Value detection algorithms finding hidden revenue streams The regulatory tailwind accelerating change: • Texas Railroad Commission restricting disposal capacity • EPA incentives for water reuse programs • Insurance premium reductions (8-15%) for smart water management • ESG benefits attracting investment capital The uncomfortable truth: While you're pumping millions into disposal wells, AI-enabled competitors are extracting value from the same "waste" stream. Every day you delay: $1.37 million disappearing into unnecessary disposal costs (based on $500M annual opportunity ÷ 365 days) Competitors capturing valuable metal extraction opportunities Missing recycling revenue worth millions annually Regulatory liability increasing with underground injection The Permian's produced water crisis isn't a waste problem—it's the industry's next major profit opportunity. 📖 Read our latest Substack article for a deep dive: https://lnkd.in/e-97e4Kd How much could your operation save by converting produced water from cost center to profit engine? #ProducedWater #PermianBasin #AIOptimization #WaterManagement #OilAndGas #WasteToWealth #DroneInnovation #EnvironmentalTech #IntelligentCore

𝐓𝐡𝐞 $𝟒𝟕𝐌 𝐎𝐟𝐟𝐬𝐡𝐨𝐫𝐞 𝐈𝐧𝐬𝐩𝐞𝐜𝐭𝐢𝐨𝐧 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡: 𝐇𝐨𝐰 𝐀𝐈 𝐃𝐫𝐨𝐧𝐞𝐬 𝐄𝐥𝐢𝐦𝐢𝐧𝐚𝐭𝐞𝐝 𝐇𝐮𝐦𝐚𝐧 𝐑𝐢𝐬𝐤 𝐚𝐧𝐝 𝐂𝐮𝐭 𝐂𝐨𝐬𝐭𝐬 𝐛𝐲 𝟗𝟔% Offshore executives: Your inspection program is bleeding $40-60 million annually while putting people in harm's way. The brutal reality of traditional offshore inspections: Your rope access team just quoted $350,000 for a flare stack inspection. It requires scaffolding, multi-day mobilization, production shutdown, and puts 8 technicians at extreme risk working 200 feet above the ocean. Meanwhile, your AI-enabled competitor completed the same inspection in 4 hours for $12,000 with zero human exposure. Here's the $47M transformation that's shocking the industry: 🔥 Flare stack inspections: $250K-400K → $8K-15K (96% reduction) 🏗️ Confined space surveys: $150K-300K → $6K-12K (94% reduction) ⚙️ Structural campaigns: $500K-1.2M → $25K-45K (92% reduction) 💰 Portfolio impact: $49M → $3.1M annually (94% savings) Real case study that changed everything: A major offshore platform transformed their inspection program: ✅ $3.2M annual costs → $410K (87% reduction) ✅ Multi-week delays → 48-hour reports ✅ 14 confined space entries → ZERO ✅ Insurance premiums reduced 15% The AI drone advantage delivering game-changing results: -Autonomous flight planning in GPS-denied environments -Multi-sensor payloads (visual, thermal, LiDAR) -Real-time anomaly detection with severity scoring -Instant reporting with repair coordinates and priorities -70-90% faster inspection-to-repair cycles Safety transformation: • Zero human exposure to heights and confined spaces for covered scope • 80-100% reduction in dangerous man-hours • No scaffolding or rope access required • Weather-independent operations The portfolio spending $49M annually on traditional inspections brought that number to $3.1M using standardized AI drone programs—while achieving better safety records and faster anomaly detection. The shocking truth: Your competitors implementing AI-powered inspections are building insurmountable cost and safety advantages. Every day you delay: $130K+ disappearing into unnecessary inspection costs Continued exposure to preventable safety incidents Slower anomaly-to-repair cycles costing production Higher insurance premiums from elevated risk profiles 📖 Read the full analysis in our latest Substack article: https://lnkd.in/erCHXc4M What's your current offshore inspection spend, and how much could you save with 96% cost reduction? #OffshoreInspections #DroneInnovation #IndustrialSafety #AIOptimization #OffshoreOil #CostReduction #SafetyFirst #IntelligentCore

𝐓𝐡𝐞 $𝟏𝟓𝟔𝐌 𝐌𝐞𝐭𝐡𝐚𝐧𝐞 𝐋𝐞𝐚𝐤 𝐆𝐨𝐥𝐝𝐦𝐢𝐧𝐞: 𝐇𝐨𝐰 𝐀𝐈 𝐃𝐫𝐨𝐧𝐞𝐬 𝐚𝐫𝐞 𝐅𝐢𝐧𝐝𝐢𝐧𝐠 𝐋𝐨𝐬𝐭 𝐑𝐞𝐯𝐞𝐧𝐮𝐞 𝐇𝐢𝐝𝐢𝐧𝐠 𝐢𝐧 𝐏𝐥𝐚𝐢𝐧 𝐒𝐢𝐠𝐡𝐭 Oil & gas executives: While you're focused on drilling new wells, there's $156 MILLION in revenue literally disappearing into thin air. The shocking wake-up call: Your quarterly LDAR inspection just "passed" your facility. But invisible methane plumes worth $11,500 per day are escaping undetected. Your traditional leak detection program is missing 60% of actual leaks. Here's the $156M math that's stunning the industry: 💸 $1 billion in methane commercial value lost annually across U.S. operations 🔍 Traditional detection rate: Only 40-50% of leaks found 📊 Recoverable revenue: $156M annually in undetected emissions ⚠️ Your facility impact: Potentially $500K-$4.2M in hidden losses Real case study that changed everything: A 47-well Permian Basin pad conducted an AI drone survey: ✅ 23 undetected leaks found (missed by quarterly OGI inspections) ✅ 847 MCF per day bleeding away unnoticed ✅ $4.2 million annual loss from ONE pad ✅ $11,500 daily revenue walking away invisible The AI drone revolution delivering game-changing results: 🎯 95% detection accuracy vs. 40-50% traditional methods 🚁 300% more leaks found with comprehensive coverage ⚡ 15x faster area coverage than manual inspections 🔬 10x smaller leak detection than human-detectable levels But here's what shocked me most: One operator invested $125K in AI drone methane detection: First-year results: • $4.2M recovered revenue from found leaks • $850K avoided EPA penalties • $75K insurance premium savings • Total benefit: $5.125M ROI: 4,000% in year one 🚀 The uncomfortable truth: EPA's 2025 methane rules bring $900-$1,500 per metric ton fees. Every undetected leak now costs you twice—lost revenue AND regulatory penalties. Your AI-enabled competitors are already capturing this hidden goldmine while you're still using quarterly handheld cameras. The math is simple: ❌ Keep missing 60% of leaks = Keep bleeding millions ✅ Deploy AI drone detection = Transform losses into profits 📖 Read our detailed Substack article to learn more: https://lnkd.in/eDzgukFU How much methane revenue is your operation losing to undetected leaks? #OilAndGas #MethaneDetection #DroneInnovation #RevenueRecovery #AIOptimization #EnvironmentalCompliance #EnergyTech #IntelligentCore

𝐓𝐡𝐞 𝐇𝐢𝐝𝐝𝐞𝐧 $𝟐.𝟑𝐌 𝐂𝐫𝐢𝐬𝐢𝐬 𝐄𝐯𝐞𝐫𝐲 𝐂𝐡𝐞𝐦𝐢𝐜𝐚𝐥 𝐄𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐢𝐬 𝐈𝐠𝐧𝐨𝐫𝐢𝐧𝐠 Chemical fleet managers: There's a $2.3 million annual hemorrhage happening right under your nose. The brutal wake-up call: Your maintenance manager: "Truck #14 needs emergency service." Your dispatcher: "23 deliveries need rescheduling." Your biggest client: "Third late delivery – we're switching suppliers." This "surprise" just cost you $50,000 today. Here's the $2.3M math destroying chemical distributors: 💰 $850 per vehicle per day in downtime costs 🚨 Emergency maintenance costs 5-10x more than planned 📉 8.7 unplanned downtime days per vehicle annually 🔥 45-truck fleet = $2.31 million per year The three silent killers: 1. Emergency Maintenance Trap → Planned: $0.06/mile | Emergency: $0.30+/mile (500% increase!) 2. Domino Effect → One truck down = $6,500 in cascading costs per day 3. Maintenance Conflicts → 68% defer maintenance for deliveries → 340% higher breakdown probability But here's the shocking truth: One distributor implemented AI predictive maintenance: ✅ $2.1M → $1.2M maintenance costs (43% decrease) ✅ 12.3 → 3.2 downtime days per vehicle (74% decrease) ✅ Customer satisfaction: 67% → 94% Annual savings: $1.7 million | ROI: 340% Your AI-enabled competitors are building insurmountable advantages while you're playing maintenance roulette. Every day you delay = $6,300 disappearing ($2.3M ÷ 365 days) 📖 Read our latest Substack article that reveals how chemical distributors lose millions to maintenance chaos and how AI solutions eliminate 94% of emergency repairs: https://lnkd.in/efkPiERp How much is unplanned downtime costing your operation? #ChemicalDistribution #PredictiveMaintenance #AIOptimization #FleetManagement #IntelligentCore