EquariusAI™ is a decision intelligence platform that prices water risk as a new uncorrelated financial factor in equity, credit, and brand valuation. Our brandAlpha™ framework is powered by two engines — waterBeta® ('Thirst', operational water risk) and GBRI™ ('Trust', the Governance & Brand Risk Index) — translating physical water exposure into earnings-at-risk, WACC uplift, and brand-equity attribution.
Carbon is a long-term regulatory compliance play. Water is an immediate operational threat. Water crises can wipe out up to 47% of a brand's corporate valuation. Fewer than 20% of companies disclose water use or its impact on financial performance. Reputation is no longer a soft metric — it measurably affects volatility, valuation, and the cost of capital. EquariusAI™ quantifies that buffer and prices it as a financial variable.
Operational water risk priced as earnings-at-risk and ~60 bps WACC uplift. Adjusts Interbrand's Financial Performance input with probabilistic water-stress modeling — water-specific residual volatility the rest of the market reads as idiosyncratic noise.
Governance & Brand Risk Index. Brand-sensitivity coefficient that quantifies Social Liquidity — the capacity of reputation to stabilize performance during periods of stress. Maps directly into Role of Brand and Brand Strength.
The fused output: a water-aware alpha factor (+4.2% indicative) that becomes priced into volatility, valuation multiples, and resilience under stress. The new state variable institutional investors will require once IFRS-S2 and CSRD reporting flows through brand and credit valuation.
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.
Water risk does not stay operational. It becomes public, drives sentiment, and moves valuation. Each step compounds — and brand trust is the only buffer.
Localized droughts and regulatory tightening drive up supply chain and compliance costs. Immediate compression of operating margins. Directly reduces Interbrand's Financial Performance input.
Collapsing efficiency metrics erode baseline corporate returns. Active damaging of consumer preference and B2B brand trust. Weakens Interbrand's Role of Brand Index (RBI).
Institutional investors officially price this compounding uncertainty into the long-term discount rate. Structural shrinking of total brand equity value. Compresses the Brand Strength Score multiplier.
A drop-in overlay for the world's most-cited brand valuation framework. Outputs water-adjusted brand equity using the same factor structure brand finance teams already use.
Two trademarked engines deliver the brandAlpha™ framework. Built on Bloomberg water intensity data, GICS sector classifications, and IFRS-S2 / SEC climate disclosure frameworks. Designed to be causal, not correlational — and real-time, not retrospective.
Earnings-at-risk from drought scenarios. Adjusts Interbrand's Financial Performance input with probabilistic water-stress modeling. Prices the operational water exposure mainstream factor models read as idiosyncratic noise.
Governance & Brand Risk Index. Brand-sensitivity coefficient to water risk drivers. Quantifies Social Liquidity — the brand's capacity to absorb water and reputational shocks. Modifies Role of Brand and Brand Strength.
Machine-learning imputation of water intensity for 80% of non-disclosing S&P 500 companies. 70% predictive accuracy (R² > 0.7) using standard financial proxies. IFRS-S2 and insurance-ready.
Plug-in module for Interbrand, BrandZ, and discounted cash flow models. Outputs water-adjusted brand equity figures inside the ISO 10668-compliant Interbrand framework — at Steps 2, 3, and 4.
IFRS-S2 took effect for the 2025 reporting year. CSRD Wave 1 covers ~12,000 EU-listed companies now, expanding to ~50,000 by 2028. $35T+ in ESG-indexed AUM is already deployed; credit markets are repricing water risk into spreads. Water-risk pricing will commoditize within 5 years — EquariusAI captures the priced state variable before then.
Application areas have a water-aware extension that is becoming increasingly pertinent given underinvestment by the public sector and increasing demands of corporate brands.
Water-adjusted M&A pricing where the target operates in stressed basins; royalty-rate negotiations where the licensee inherits water exposure; balance-sheet brand impairment testing when named water events trigger write-downs; investor communications that link water posture to expected returns.
Water-aware brand dashboards that surface basin-level Brand Strength performance; ROI analysis on water-related brand investments (basin replenishment, supply-chain water audits, packaging water footprint); and KPIs tied to brandAlpha™ that allocate responsibility across operations, sustainability, communications, and brand.
Repositioning analyses in stressed basins; brand extension cases evaluated against water-secure adjacencies; and Monte Carlo modeling of strategic decisions where water scenarios (drought severity, regulatory tightening, basin conflict) sit alongside conventional revenue drivers.
// Brand discount estimates are illustrative, derived from WIPPE regression coefficients applied to Interbrand earnings multipliers. Sector data from Tian & Adriaens (2025).
Our AI models reconstruct the actual water footprints of 80% of non-disclosing companies with 70% predictive accuracy using standard financial proxies. We see the hidden equity discounts the rest of the market is blind to.
Built on cross-sectional regression of 7,200+ S&P 500 company-years. Published / forthcoming in QJF / Global Finance Forum Special Issue.
Proprietary AI/ML models impute water intensity for 80% of non-disclosing companies. R² > 0.7 (Tian & Adriaens, 2025; RCR).
Trademarked waterBeta® and GBRI™ analytics; provisional patents. No comparable tool links water metrics to brand-valuation multipliers.
Built for mandatory climate-financial disclosure. First-mover advantage as regulatory requirements accelerate in 2025–2027.
Direct integration with leading brand valuation frameworks — a first in the industry. Sits inside ISO 10668-compliant Interbrand methodology at Steps 2, 3 and 4.
Contracts with AWS, Kurita Water Industries, and Asahi. Indexes powered by waterBeta® based on NASDAQ, Nikkei 225, and STOXX.
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 credit risk, a brand equity discount, and a fiduciary risk management requirement. EquariusAI is the only platform that quantifies the drought-driven discount embedded in corporate brand valuations — and provides the tools to manage it.