Leverage AI-driven insights to navigate any shareholder engagement with confidence
See our productsSuperior models
We use machine learning, natural language processing, and other state-of-the-art Artificial Intelligence tools to take various data inputs and mathematically model engagements between public companies and shareholders.
Big data
As data experts, we utilize more data than anyone else. Our models rely on millions of data points for 225+ indicators across 9 dimensions, including corporate communication, workforce dynamics, media coverage, and more.
Unrivaled accuracy
Drawing on more than a decade of scientific research, our models are meticulously engineered, refined and continuously updated in real time to deliver the most accurate predictions, achieving industry-leading accuracy of up to 81%.
Trusted authority
Our company was founded by data scientists and tenured professors who have deep expertise in predictive modeling and have published dozens of scientific papers on shareholder activism and corporate governance.
The most comprehensive data
By building our models on a wide range of publicly available data, from corporate lawsuits to individual personnel changes, we provide the most accurate predictions possible.
6,000+
companiesacross 18 sectors and 20+ years56,000+
directorswith detailed individual backgrounds225+
data featurescovering nine dimensions75+
data sourceswith up-to-date coverage
The most powerful models
Our suite of highly customizable predictive models provide unprecedented depth into all aspects of shareholder engagements. With as high as 81% accuracy, our models provide confidence when it counts.
ActivistDetect
Identify companies most vulnerable to activismDirectorElect
Forecast the voting support of individual directorsVotePredict
Predict the voting behaviors of shareholders
Tailored to suit your needs
Tailoring our models exactly to your needs creates endless possibilities, and guarantees the right insights for when they’re needed most. Each model offers insights that are undetectable with conventional research methods and human analyses.
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