Built for investors, boards, and advisors who need accurate, explainable predictions when the outcomes matter most.

We transform messy, multi-source data into precise forecasts through a disciplined, four-step process.
We continuously acquire, scrape, normalize, and quality-check data across market fundamentals, governance, ownership, communications, workforce dynamics, litigation, media, and more.
We design domain-specific signals using hundreds of features that capture patterns linked to outcomes of interest, such as activism risk, director support, and vote shifts over time.
We train and tune ensembles using state-of-the-art modeling tools with strict time-based splits to prevent look-ahead bias.
We evaluate all model performance on out-of-sample periods, track drift, and refresh models and data pipelines on a regular cadence for sustained accuracy.
We bring 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 academics and leading data scientists, InvestorSight brings the credibility of scientific research to predictive intelligence for capital markets.
Quantitatively assess which companies are most vulnerable to activist intervention, across over 250 predictive signals.

Forecast vote outcomes for each nominee using nominee history, board structure, investor sentiment, and company context.
Project how individual investors will vote on proposals — and what factors drive their decisions.
We build our models to flex — adapted to your coverage needs, and seamlessly delivered through the platforms and processes you already use.

We adapt models to your coverage, sectors, geographies, thresholds, and time horizons; we can also build bespoke features, pipelines, and scenario tools for unique questions.

Access predictions through a secure web portal, scheduled data exports, or API integration. Our delivery options make it easy to embed forecasts directly into your existing workflows and dashboards.

Every score ships with driver context, model lineage, and validation metrics to support internal model governance and regulatory reviews.
Detect events before they occur.
Focus engagement where it changes outcomes.
Simulate strategic choices and director outcomes ahead of disclosures.
Test how announcements or events shift investor support.
