Leverage cutting-edge AI models to navigate proxy contests, board refreshment, and shareholder votes with complete confidence.
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with an unprecedented amount of data to deliver predictive intelligence for high-stakes corporate events. Able to detect signals invisible to conventional analysis, our models support critical decision-making in special situations, including:
our team brings scientific rigor and real-world modeling expertise to every client engagement.
We utilize a range of modeling tools, including machine learning, natural language processing, and generative AI—to synthesize massive, multidimensional datasets and deliver highly accurate forecasts.
Our proprietary data pipelines capture billions of data points across a range of dimensions on 7,000+ companies, 56,000+ directors, and 38,000+ investors.
Founded by tenured professors and leading data scientists, InvestorSight brings the credibility of scientific research to predictive intelligence for capital markets.
We build our models on the broadest and most diverse datasets available to ensure unmatched predictive accuracy.
500+ features spanning market fundamentals, governance, ownership, communication, media, and more.
across all sectors and industries
with detailed biographical and career data
spanning hedge funds, institutions, and family offices
Our customizable suite of models provides deep insight into all aspects of shareholder engagements, including:
Identify companies most at risk of shareholder activism before campaigns emerge.
Forecast the likelihood of success in contested or high-stakes board elections.
Predict individual shareholder votes across proposals and governance changes.
Assess the probability of unsolicited or hostile takeover attempts.
We adapt our models to fit your strategic priorities—whether identifying vulnerable companies by sector, assessing director support scenarios, or forecasting the voting impact of new disclosures.
Subscribe to The InvestorSight Driver Report—our weekly digest of AI-driven insights on activism, board dynamics, and voting trends shaping capital markets.
