What Is Nepti? Aguato's AI for Water Treatment Decisions
Nepti is Aguato's AI decision engine for industrial water. It ranks treatment options, models costs, and characterises water in under an hour.
Insights on water treatment solutions, wastewater technologies, and AI-driven infrastructure decision-making. Written for operators, engineers, and buyers.
Nepti is Aguato's AI decision engine for industrial water. It ranks treatment options, models costs, and characterises water in under an hour.
Most industrial water treatment decisions are made by letting vendors set the agenda, and that is why so many systems underperform. A guide to characterising your challenge first, understanding what each major industry segment actually requires, and using AI to reach a data-backed specification before engaging the market.
Water interruptions mean revenue interruptions. From hidden OPEX traps to emerging scarcity risks, learn why industrial water management is now a board-level issue.
Nepti is Aguato's AI decision engine for industrial water. It ranks treatment options, models costs, and characterises water in under an hour.
Most industrial water treatment decisions are made by letting vendors set the agenda, and that is why so many systems underperform. A guide to characterising your challenge first, understanding what each major industry segment actually requires, and using AI to reach a data-backed specification before engaging the market.
Water interruptions mean revenue interruptions. From hidden OPEX traps to emerging scarcity risks, learn why industrial water management is now a board-level issue.
Decentralized water treatment costs 20 to 40% less in CAPEX than centralized infrastructure but carries 30 to 60% higher OPEX per cubic metre treated.
Ultrapure water production costs $0.50 to $4.50 per cubic metre but a single contaminant spike shuts down a semiconductor fab for 12 to 48 hours at $2M to $8M in lost wafer output.
Online sensors cost $8,000 to $35,000 upfront but cut lab expense 60 to 80% for high-frequency testing. The right choice depends on your sampling cadence.
Ceramic membranes cost 3 to 5× polymeric UF on installed CAPEX and run 30 to 60% lower on 15-year total cost of ownership for tough-feed industrial duties. On dairy whey, brewing, offshore produced water, refinery effluent MBR, pharmaceutical WFI, semiconductor UPW, and mining hydrometallurgy, ceramic is now the lifecycle-cost-optimal specification. This guide covers the five operating dimensions that flip the math, the CAPEX-OPEX numbers on a 1,000 m³/day duty, the seven-industry application matrix, and the four failure modes that ruin ceramic economics when the technology is mis-specified.
Offshore platforms produce 3 to 10 barrels of water for every barrel of oil. Missing the OSPAR 30 mg/L oil-in-water monthly average or the EPA Region 6 NPDES 29 mg/L daily max on an FPSO with 25,000 bbl/day production exposes USD 250,000 to 2,500,000 per non-compliant month. This guide covers the five-stage treatment train, hydrocyclones vs IGF vs nutshell vs MPPE vs ceramic UF, reinjection vs overboard discharge economics, and the failure modes that put platforms on regulator watchlists.
Closed-circuit cooling towers cost 1.5 to 2× more upfront and pay back fast where process water purity, Legionella exposure, or downtime risk dominate the cost equation. When to choose each.
Most industrial cooling towers run blowdown wrong by 15 to 30%. The wrong setpoint costs USD 8,000 to 35,000/year on a 5 MW duty in wasted make-up and chemistry; under-blowdown costs USD 50,000 to 250,000 in scale damage. This guide covers cycles of concentration, the three control methods, the five recurring failure modes, and the discharge-permit perimeter most operators under-cost.
Refineries, food plants, metalworking shops, and ships all generate oily water, but the same separator does not work on all three oil classes. This guide covers the treatment train, the chemistry behind emulsion breaking, and the side-stream costs that ruin most project budgets.
MF, UF, NF, and RO each fit a different performance window. The wrong membrane class adds USD 40,000 to 250,000 per year in unnecessary energy and reagent cost over a 15-year service life. This guide covers the four classes, the four module configurations, and the failure modes that destroy membrane economics.
What separates a water treatment plant that runs for 20 years from one that fails its first peak event, covering the five design stages, redundancy and peaking factors by criticality class, and the rework costs that hit USD 1M+ when feed-water characterisation gets cut.
Industrial water pollution is a balance-sheet line item, not just an environmental story. Permit breaches cost USD 50,000 to 5M+ per incident; emerging-contaminant retrofits hit USD 2M, 50M. This guide covers contaminant classes, industry sources, compliance regimes, and the cost-of-failure exposure operators usually under-cost.
What actually happens, in operational order, between effluent intake and compliant discharge, eight steps, the engineering parameters at each, and the sequencing failures that make most plants underperform.