A persistent, always-on platform that prices water risk into siting, supply-chain, and operating decisions for water-intensive industry. One scenario engine — price a water-availability event against P&L and capital impact — pointed at three objects: candidate sites, supplier & utility counterparties, and owned facilities. Built on a peer-reviewed waterAlpha® financial model.
Carbon is a long-term regulatory compliance play. Water is an immediate operational threat. The decision of where to build, who to depend on, and what to keep running is being made without pricing water risk — and the consequences are compounding every quarter left unmonitored. These risks don't resolve with a point-in-time report. They require a live platform.
40%+ of new semiconductor fabs sited since 2021 sit in high or extremely high water-stress zones. Energy (43%), Consumer Staples (43%), Utilities (36%), and Materials (36%) rank among the most water-dependent GICS sectors — a much wider footprint than data centers alone. // Robeco, 2026
$105B in Chilean copper and lithium mining investment (2025–2034) is now exposed to water-driven cost pressure. Supply chains built on water-stressed counterparties carry unpriced default risk that doesn't appear in standard vendor scorecards. // S&P Global, 2026
A 2–6% stock-return coefficient tied to water intensity across 3,421 S&P 500-era companies. The signal is real — and it runs every quarter, not just at reporting time. Owned facilities in stressed basins carry an operational discount the market hasn't yet priced. // Adriaens et al., 2026
S&P 500. 2013–2022. Robustness confirmed across three water intensity metrics (WIPPE, WIPE, WIPS) with industry and year fixed effects. Published / forthcoming in QJF / Global Finance Forum Special Issue.
The Command Center is not a single-vertical tool. A company keeps it open every day — pointed at whichever object is generating the most pressing question. The derivative revenue path: the EBIT/NOPAT impact the engine prices is a direct input to brand-valuation methodology (Interbrand, Brand Finance, Kantar BrandZ).
Published waterAlpha® regression + ML imputation model. 3,421 companies extended to 7,200 company-years. Signal validated across WIPPE, WIPE, and WIPS water intensity metrics with industry and year fixed effects. // Peer-reviewed · QJF / Global Finance Forum
Already running site-level scenario math today. Prices water-availability events against P&L impact and mitigation ROI for candidate sites, supplier counterparties, and owned facilities — in real time, not as a point-in-time report.
Back-tested against the 2025 Interbrand Top 100. The EBIT impact the engine prices feeds directly into Interbrand, Brand Finance, and Kantar BrandZ methodology — at Steps 2, 3, and 4. Brand value at risk is a natural extension of operational risk pricing.
The water-risk instance of an already-funded control-tower pattern — recurring, land-and-expand SaaS revenue, not lumpy consulting. Built on Bloomberg water intensity data, GICS sector classifications, and IFRS-S2 / SEC climate disclosure frameworks. Designed to be causal, not correlational — and live, not retrospective.
Price water-availability risk for candidate sites before capital is committed. Scenario math against P&L impact and mitigation ROI — integrated into site-selection and M&A due diligence workflows for energy, tech, materials, and consumer staples.
Counterparty Water Risk Estimator, already running site-level scenario math today. Price supplier and utility counterparty exposure before a disruption surfaces in earnings. Nonviable suppliers flagged in real time.
Persistent monitoring of owned facilities against live water-stress data. A facility at risk surfaces before it hits operating margins. The same engine that prices site risk tracks operational exposure across the full portfolio.
The EBIT/NOPAT impact the engine prices feeds directly into Interbrand, Brand Finance, and Kantar BrandZ methodology. Back-tested against the 2025 Interbrand Top 100. Brand value-at-risk as an extension of operational risk pricing.
Search any of the 2025 Interbrand Top 100 brands, adjust scenario levers for earnings pressure, financing pressure, and brand trust — and surface the water-driven discount embedded in corporate valuations. A derivative output of the Command Center's core waterAlpha® model.
FourKites launched an "Intelligent Control Tower" product in 2025 and was last valued near $1B in its 2021 round. Project44 has raised $912M at a $2.7B valuation. The Command Center is the water-risk instance of this already-funded SaaS pattern — recurring, land-and-expand, 70%+ margins at scale. IFRS-S2 in effect for 2025. CSRD expanding to ~50,000 companies by 2028. The priced state variable will commoditize within five years — Equarius captures it now.
The Command Center serves two distinct buying motives — risk hedging and alpha harvesting — across one underlying waterAlpha® model. The five revenue paths compound on each other as the installed base grows.
CRO, Treasurer, CFO, capital committee, bank & insurer credit teams. Price and avoid water risk before committing capital. Command Center flagship (Path 1), credit-risk data API (Path 4) — and brand value-at-risk (Path 2) as the direct downstream application.
Quant / factor asset managers, smart-beta ETF issuers, index providers. Tilt a portfolio to capture the documented waterAlpha® return premium. Factor & alpha licensing (Path 3), index providers partnership (Path 5) — indexes already powered by waterAlpha® on NASDAQ, Nikkei 225, and STOXX.
// waterAlpha® signal: R² 0.07–0.32, coefficients ~2–6%, sign varies by benchmark — a validated, useful input, not a standalone score. Adriaens, Tian, Slawecki & Mogosanu (2026).
80% of companies don't disclose water use. Our AI reconstructs their water footprints with 70%+ predictive accuracy using standard financial proxies — giving the Command Center a data advantage that widens as the installed base grows.
Published regression + ML imputation across 3,421 companies, extended to 7,200 company-years. Forthcoming in QJF / Global Finance Forum Special Issue. Signal is real: 2–6% stock-return coefficient.
Counterparty Water Risk Estimator already running site-level scenario math today. P&L impact and mitigation ROI — not a static score, a live operational tool.
Trademarked waterAlpha®, waterBeta®, waterVaR™, and GBRI™ analytics. Provisional patents. No comparable platform links basin-level water risk to P&L, brand valuation, and credit simultaneously.
Built for mandatory climate-financial disclosure from the ground up. First-mover advantage as IFRS-S2 (2025) and CSRD (~50K companies by 2028) drive corporate water-risk pricing requirements.
Direct integration with Interbrand, Brand Finance, and Kantar BrandZ methodology — a first in the industry. EBIT impact priced by the Command Center engine feeds directly into Steps 2, 3, and 4.
Contracts with AWS, Kurita Water Industries, and Asahi. Indexes powered by waterAlpha® on NASDAQ, Nikkei 225, and STOXX. 200+ licensees — named Equarius S-Network Global Water Index partner.
A founder-led team bridging civil engineering, machine learning, brand finance, and institutional capital markets — anchored at the University of Michigan and the Ripple-funded Center for Digital Asset Finance.
28 years in water risk; 10 years at the intersection of climate, infrastructure, and capital markets. Director of the Center for Digital Asset Finance (funded by Ripple) and Professor of Civil & Environmental Engineering at the University of Michigan. Inventor of waterBeta®, waterVaR™, and Equarius Risk Analytics™.
PhD, Environmental Sciences (UC Riverside); Postdoctoral Scholar (Stanford). Member by Eminence, American Academy of Environmental Engineers. Belgian Royal Academy of Applied Sciences and the Arts.
Machine learning and water risk finance. Author of the core regression and orthogonalization models underneath the platform. Previously researcher at Harvard Business School (innovation & clean tech) and CTO at Equarius Risk Analytics.
MBA, Ross School of Business; MS, Sustainable Systems — University of Michigan. BS, Economics. Erb Institute alumna; prior career in corporate banking risk management on multinational investments.
30+ years of database architecture and computational systems for environmental data. Co-architect of the waterBeta® data infrastructure. Senior Engineer and Computer Manager at LimnoTech (Ann Arbor) since 1983 — building DBMS, GIS, modeling, and visualization tools that move from data to defensible decisions.
BSE, Computer Engineering; MS, Environmental Health Sciences. Long-standing partner on University of Michigan licensed water-risk indexing technology.
Eight years across supply chain, brand finance, and sustainability strategy. Lead on the GBRI™ brand opportunity and sentiment models — translating water-risk signal into the language used by CMOs, brand finance teams, and the Interbrand-style framework community.
MBA, Ross School of Business — University of Michigan. Erb Institute alumna (sustainability dual-degree track).
15+ years building brands and capital-markets narrative through marketing communications, brand strategy, and business development. Currently Head of Marketing Communications & DEI Impact at CAVU Securities — a boutique broker-dealer connecting sophisticated investors to hand-picked investment opportunities. Translates EquariusAI's quantitative methodology into institutional-grade positioning and partner-channel narrative.
Previously Partner & Head of Marketing Communications at GoodLight Capital; Marketing Director at Ozone X. U.S. Army veteran. Independent practice at sharrontodd.com.
Financial-SaaS commercial leader. Frees the CEO as visionary bridge to IOSCO (International Organization of Securities Commissions), ISSB (International Sustainability Standards Board), and Interbrand-style standard-setters.
Targeting candidates with index, ratings, or ESG-data sales pedigree (MSCI, Bloomberg, Sustainalytics, S&P Global).
Environmental and water resources engineer with leadership of one of the most respected independent water consultancies in North America. Lecturer at the University of Michigan and Harvard GSD. Joined LimnoTech 1999; President since 2018; CEO since 2023.
/in/timothy-dekker →Senior strategist at Kurita Water Industries — Japan's leading industrial water treatment company and a corporate partner to EquariusAI. Drives Kurita's global innovation pipeline across Japan, Germany, and Singapore R&D bases.
kurita-water.com →Portfolio specialist focused on Dana's sustainability and ESG research and investment strategies. MBA, Finance & International Business, University of Chicago. Previously Managing Director at Big Path Capital; senior roles at UBS and SBC Brinson Partners.
/in/lydia-miller →Founder of CaseBasix, a strategy-consulting career platform preparing MBAs for top-tier firms (McKinsey, BCG, Bain, Strategy&). Prior operating experience at Equarius Risk Analytics and BTCA — long-standing connection to the EquariusAI methodology and commercial roadmap.
/in/mayank-gupta →Co-founder of LimnoTech (1975) and 2020 elected member of the National Academy of Engineering. Past President, Water Environment Federation. Fellow of ASCE and WEF. Co-inventor of waterBeta® and waterVaR™ (Adriaens, Freedman, Marr, 2013) — the foundational IP behind the EquariusAI platform.
/in/paul-freedman →An ecosystem spanning academic research, data and index providers, financial channels, technology infrastructure, and named corporate buyers — covering the full value chain from primary research to institutional distribution.
It is a material siting risk, a supply-chain threat, and a live operational liability — in energy, tech, materials, and consumer staples at once. Water Risk Pricing Powered by AI is the only always-on platform that prices water risk into the decisions where it actually shows up: sites, suppliers, and plants.