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 — with a parallel evidence layer that makes the same data CSRD- and IFRS S2-assurance-ready for your auditor.
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
Even where companies measure and disclose water, almost none of it is priced, hedged, or built to survive an audit.
Of 8,500+ companies disclosing on water to CDP in 2024, only 426 (5%) reported an internal water price. Financial institutions are worse: of 275 responding FIs, only 93 assessed water risk and just 48 reported exposure. Banks need counterparty exposure mapped onto credit, market, liquidity, and operational risk — not another portfolio heatmap. // CDP, 2023 & 2025
What actually trades is parametric drought insurance, triggered on precipitation or soil-moisture indices — concentrated in agriculture and hydropower. Descartes Underwriting offers up to $80M of capacity per contract. Every other water-intensive sector has no instrument to hedge water risk directly. // Descartes Underwriting
CSRD requires limited assurance over water-stress disclosures from FY2025 filings, stepping up to audit-equivalent reasonable assurance from FY2027 under ISSA 5000. One pilot reported 840 additional audit hours in that step-up. A disclosure built on an opaque score cannot clear that bar. // CSRD / ISSA 5000
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.
Water-risk disclosure has moved from voluntary ESG narrative to mandatory, audited financial reporting. CSRD already requires limited assurance over climate disclosures — including physical water-stress exposure — for large EU filers reporting FY2025, stepping up to reasonable assurance, matching financial-audit rigor, for FY2027 filings under the new ISSA 5000 standard. That shift creates a second buyer: the assurance practitioner who must now defend a client's water-risk numbers to the same standard as its revenue recognition.
Due ~May 2026 for large EU filers (>1,000 employees, "wave 2"). Must carry limited assurance over ESRS E1 climate disclosures, which include physical water-stress exposure.
Due ~May 2028, under the ISSA 5000 standard (effective Dec. 15, 2026). Audit-equivalent rigor — one pilot reported 840 additional audit hours moving from limited to reasonable scoping.
A structured, per-disclosure-cycle export for the client's external assurance provider: data provenance logs, sampling and extrapolation methodology, and year-over-year consistency reconciliation.
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 three distinct buying motives — risk hedging, alpha harvesting, and assurance readiness — across one underlying waterAlpha® model. The six 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.
Disclosure & reporting teams and their external assurance provider. "Can we defend this figure under reasonable assurance?" Entry point: the Water Risk Assurance evidence package (Path 6), ideally co-sold through an accredited partner such as KPMG.
// 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).
Every direct comparable in this market — control-tower visibility SaaS (FourKites, Project44) and ESG/climate data licensing (MSCI ESG, Sustainalytics) alike — prices by private quote only. These are strategic ranges anchored to adjacent-market comps and our own blended contract history, not confirmed competitor prices — published because transparency is the differentiator every incumbent here withholds.
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 — and makes the resulting disclosure ready for CSRD and IFRS S2 assurance.