Qlarity Financial Modelling Advisory
Qlarity is a specialist real estate financial modelling advisory firm supporting investors, funds, and institutions with clear, structured financial analysis designed for investment decision-making.
Our work combines technical financial modelling expertise with hands-on experience across real estate investment, asset management, portfolio analysis, and investor reporting environments.
We provide decision-ready financial models for acquisitions, asset management, portfolio and fund analysis, and investor reporting. Models are designed to support analytical consistency, efficient workflows, and collaboration across investment teams.
Qlarity focuses on structured, reviewable financial models aligned with how real estate investments are evaluated, managed, and reported in institutional environments.
Founder
Motoko Shibata
Motoko Shibata has over 20 years of experience in real estate investment analysis and financial modelling, supporting institutional investment teams across acquisitions, asset management, portfolio analysis, development projects, fund modelling, Excel automation, and investor reporting.
She has worked in Japan, the United States, and Europe with organisations including Cohen & Steers (New York), Patrizia (formerly Rockspring Property Investment Managers, London), Goldman Sachs and J.P. Morgan (Tokyo), and Sponda Real Estate (Helsinki), a Blackstone portfolio company.
Her recent work includes building business plan, valuation, and portfolio roll-up models for a €3bn portfolio, establishing portfolio management capability, supporting investor reporting processes, and building teams responsible for investment and portfolio analysis.
Motoko holds a BSc in Computer Science from the University of British Columbia in Canada and an MBA from Erasmus University Rotterdam in the Netherlands. She is an Advanced Financial Modeler (AFM) certified by the Financial Modelling Institute.
She is bilingual in English and Japanese and is known for building clear, review-friendly financial models and reporting workflows that support investment decision-making and stakeholder communication.
Our Role as an Independent Advisory Partner
Qlarity acts as an independent real estate financial modelling advisor, working alongside internal investment teams to bring clarity, objectivity, and analytical rigour at key decision points.
Clients typically engage Qlarity when:
Investment decisions require independent analytical support
Existing financial models require review, restructuring, or external perspective
Consistency across investment, asset management, and reporting teams is critical
Financial analysis must be clearly understood across multiple stakeholders
Our role is to strengthen internal capability while ensuring that modelling outputs remain transparent, reviewable, and aligned with investment and reporting requirements.
Institutional Investment Environments
Qlarity’s work is grounded in institutional real estate investment environments, where financial analysis supports capital allocation decisions, investment committee review, lender engagement, and investor reporting.
Clients typically include investment managers, fund platforms, developers, advisory firms, and internal finance or treasury teams responsible for maintaining financial models and analytical workflows.
In these environments, financial models must do more than produce outputs. They must be structured so that assumptions, calculations, and results can be clearly reviewed, challenged, and relied upon across stakeholders.
Qlarity therefore prioritises structured modelling design, transparent assumptions, and analytical frameworks that support practical decision-making.
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If you are looking for a real estate financial modelling partner to support investment decisions or ongoing portfolio activity, Qlarity can help. Whether the requirement involves evaluating a new acquisition, improving existing financial models, or strengthening internal modelling capability, our work focuses on delivering clear, reviewable financial analysis aligned with institutional investment decision-making.