Integrated infrastructure for the AI economy
Independent advisory today. Innovating system-level solutions for tomorrow.
The largest risks often sit between disciplines, vendors, and commercial assumptions.
Technical performance, resilience, schedule, capital, and operating economics must be evaluated together.
ArNeil does not sell equipment, construction, power, or financing. Recommendations are guided by technical merit, commercial viability, and the owner's objectives.
ArNeil evaluates how infrastructure choices interact—not merely whether each subsystem works in isolation—especially during site selection, investment approval, pre-FEED development, and major vendor commitment.
Grid supply, onsite generation, fuel, interconnection, and operating strategy.
Heat rejection, refrigeration, liquid cooling, heat recovery, and efficiency.
Source, treatment, reuse, discharge, and water-constrained operation.
Battery, UPS, thermal storage, microgrids, and resilience posture.
Emissions, carbon-capture readiness, incentives, and value pathways.
Simulation, digital twins, operational logic, commercial tradeoffs, and risk.
ArNeil helps owners, developers, investors, and technology partners evaluate the interactions among power, thermal systems, water, storage, carbon, controls, permitting, and project economics. Engagements are founder-led, fixed-scope, and designed to complement—not replace—the owner’s engineering team, EPC, utility, legal counsel, or financial advisers.
Direction-setting for greenfield campuses, site selection, infrastructure master planning, technology posture, and build-versus-buy choices.
Typical output: infrastructure roadmap, technology strategy, executive recommendation, and risk framework.
Independent validation of proposed sites, technologies, vendor claims, and project assumptions before investment, acquisition, joint venture, or major commercial commitment.
Typical output: technical opinion, assumption challenge, interface-risk review, and investment-committee findings.
Evaluation of how power, cooling, water, storage, carbon, controls, economics, and permitting function as one connected system—not simply whether each discipline works in isolation.
Typical output: architecture scorecard, interface-risk assessment, alternative concepts, and prioritized optimization opportunities.
Development of alternative system concepts when conventional approaches do not deliver the required technical, resilience, environmental, or commercial outcome. Recommendations draw on decades of industrial systems integration and technology-development experience.
Typical output: concept alternatives, technology screening, novel architecture options, development pathway, and commercialization considerations.
The work begins with the customer’s proposed solution and progresses only as far as the project requires.
Define the decision, project constraints, and consequences of getting it wrong.
Evaluate power, thermal, water, carbon, controls, permitting, and economics together.
Identify fragile assumptions, interface risks, and dependencies between disciplines.
Confirm the architecture where it is sound and recommend focused improvements where needed.
When conventional options fall short, create alternative system architectures for the customer’s specific project.
Site selection, pre-FEED decisions, architecture optimization, and vendor challenge.
Technical diligence, downside risk, commercial assumptions, and capital-decision support.
Grid, onsite generation, fuel, storage, resilience, and campus integration strategy.
Independent cross-disciplinary review and development of differentiated concepts.
Independent validation of infrastructure platforms, acquisitions, and growth investments.
Assessment of brownfield assets and sites being repositioned for AI infrastructure.
System-level application strategy beyond individual equipment performance.
Evaluation of cold-energy, onsite power, carbon, and co-location opportunities.
Independent review of a proposed AI campus before FEED, including power, cooling, water, carbon, controls, and interface risks.
Technical diligence for an investor evaluating the credibility, economics, resilience, and schedule of a hyperscale infrastructure proposal.
Evaluation of LNG cold-energy recovery, onsite generation, and thermal integration for compute infrastructure.
Water strategy for a water-constrained or Zero Liquid Discharge campus, including reuse, treatment, and discharge architecture.
Independent confirmation of a proposed architecture—or development of alternative concepts when the current design leaves material value or resilience unrealized.
ArNeil does not manufacture equipment, construct facilities, sell utilities, provide financing, or represent technology vendors. Recommendations are based on technical merit, commercial viability, project risk, and the owner’s objectives.
ArNeil complements — and does not replace — your engineering team, EPC contractor, utility, or equipment specialists. We provide an independent perspective before major commitments; formal design, FEED, permitting, and procurement remain with your project team.
ArNeil Labs is the founder-led development track for selected infrastructure concepts at the research, provisional-patent, and early-engineering stages. Its purpose is to translate recurring industry constraints into independent methods, protected system concepts, engineering models, and future software tools.
Not every engagement requires new technology. When recurring constraints cannot be solved adequately through conventional engineering, ArNeil may develop an independent system concept, protected method, engineering model, or future software tool.
ArNeil owns three U.S. provisional patent applications filed in 2026. These concepts remain under development and are not yet commercially available.
LNG cold-energy recovery, onsite generation, grid interaction, and integrated energy architectures for compute infrastructure.
Industrial refrigeration, cascade and absorption cycles, heat recovery, and high-density thermal integration.
Reverse osmosis, electrochemical treatment, water reuse, and Zero Liquid Discharge concepts for water-constrained sites.
Carbon-capture readiness, heat integration, industrial decarbonization, and carbon-value optimization.
Battery and thermal storage, UPS optimization, microgrids, and resilience architecture.
Physics-based simulation, digital twins, and decision-support tools that compare constrained infrastructure architectures.
Throughout his career, founder Sanjay Dube has translated complex engineering problems into industrial technologies across thermal systems, water treatment, electrochemical processes, batteries, process engineering, and controls.
That experience includes serving as technical lead on DOE-funded, commercial-scale carbon-capture development; designing a first-of-a-kind zero-liquid-discharge water architecture for an 800 MW power plant; and monetizing industrial decarbonization into a $50M/year business. ArNeil does not claim ownership of those earlier inventions or of any prior-employer program. The company applies the founder's systems-engineering experience to develop new, independent technology—the focus of ArNeil Labs—for AI infrastructure.
Large-scale refrigeration, cascade architectures, absorption refrigeration, heat integration, and energy-efficiency improvement.
Relevance: high-density cooling, heat recovery, and integrated thermal architecture.
Reverse osmosis, electrochemical processes, water recovery, and Zero Liquid Discharge—including delivery for an 800 MW power facility.
Relevance: water-constrained campuses and reduced freshwater dependence.
CHP, industrial utilities, gas turbines, onsite generation, market optimization, and energy-portfolio leadership.
Relevance: reliable, flexible, and economically optimized AI power systems.
Battery-material innovation, lithium-ion technology development, and industrial-scale electrochemical process experience.
Relevance: storage, resilience, backup architecture, and emerging power technologies.
Carbon-capture FEED leadership, carbon monetization, industrial process integration, and decarbonization strategy.
Relevance: carbon-aware infrastructure planning and capture-ready designs.
Process modeling, advanced controls, simulation, digital twins, optimization, and technology commercialization.
Relevance: decision support and future engineering-intelligence tools.
Planned technical papers and research themes. Titles remain non-clickable until the underlying work is published.
Sanjay Dube’s career has been defined by integrating systems that organizations often manage separately. Across industrial refrigeration, onsite energy, carbon capture, battery technology, water systems, advanced controls, process modeling, and digital twins, he has built architectures designed to improve both technical performance and commercial outcomes.
ArNeil applies that systems-engineering perspective to the infrastructure decisions now shaping the AI economy.
A focused 20-minute introductory conversation to understand the infrastructure decision, identify where system interfaces may carry hidden risk, and determine whether an independent review would add value.
sanjay.dube@arneilenergy.com
Madison, Alabama