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.
Pharmaceutical manufacturers operate three distinct water grades, each with different USP limits, system architectures, and validation requirements. Getting the wrong grade into the wrong process step does not just fail an audit. The complete guide to PW, WFI, and pure steam selection, system design, and continuous compliance.
The choice between in-house operations, outsourced O&M, and water-as-a-service is not primarily a cost decision. It is a decision about risk transfer, compliance liability, and whether water treatment is a core competency or a support function. The framework for getting it right.
The wrong industrial water storage tank costs operators $50,000 to $500,000 in rework. Here is how to match concrete, bladder, steel, or GRP to duty, volume, and budget.
Cooling towers are the highest-risk legionella source in industrial settings. A single outbreak triggers regulatory investigation, reputational damage, and potential criminal liability. Here is the water treatment programme, testing protocol, and regulatory framework that keeps industrial facilities compliant.
Ion exchange removes dissolved ions from water with near-perfect selectivity, achieving conductivities below 0.1 microsiemens per centimetre that RO alone cannot reach. But at feed TDS above 500 mg/L, the regenerant cost makes it uneconomic without pre-treatment. The complete guide to sizing, configuration, and the RO versus IX versus hybrid decision.
Modular stormwater detention cuts excavation 68% vs gravel at 95% void ratio, $8.50 to $13.00 per cubic foot installed, with a four-year payback over surface basins.
Direct lithium extraction promises to unlock brine resources that evaporation ponds cannot touch, with 80 to 95% lithium recovery, 90-plus percent water return, and an 8 to 18 month production cycle versus the multi-year pond route. What industrial operators and project developers need to know about the technology landscape in 2025.
Forward osmosis moves water across a membrane using osmotic pressure, not hydraulic force. It handles feed streams that would foul or exceed the pressure limits of conventional RO. Here is where the technology has genuine traction, and where the vendor claims run ahead of the evidence.
Buying and operating your own water treatment plant looks cheaper until you include the capital replacement cycle, the operator vacancy risk, the technology obsolescence cost, and 15 years of regulatory exposure. The full TCO framework for the WaaS versus ownership decision.
Urban stormwater flooding costs US cities over $9 billion a year. SuDS and green infrastructure cut peak flows up to 80% at a fraction of conventional drainage cost.
Textile dye effluent runs USD 0.40 to 1.80 per m3 to treat for discharge, USD 1.20 to 4.20 per m3 to recover for reuse. The wrong technology choice locks a dye house into a USD 200,000 to 1.5M lifecycle penalty. Here is the cost-stacked decision framework Plant Managers use to choose.
A 50,000 wafer-starts-per-month fab consumes 5 to 10 million gallons of ultrapure water per day at 18-megohm-cm purity. The water-treatment train runs USD 60M to 180M of fab CAPEX and USD 12M to 35M per year in OPEX. Specifications below par cost 0.5 to 3% yield, USD 50M to 400M per fab per year.