Proven Predictive Models to Win in High-Stakes Situations

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

InvestorSight - A Proven Predictive Modeling Process to Win in High-Stakes Situations

Our Modeling Approach

We transform messy, multi-source data into precise forecasts through a disciplined, four-step process.

01
InvestorSight - Ingest & Clean

Ingest & Clean

We continuously acquire, scrape, normalize, and quality-check data across market fundamentals, governance, ownership, communications, workforce dynamics, litigation, media, and more.

02
InvestorSight - Feature Engineering

Feature Engineering

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.

03
InvestorSight - Model Training

Model Training

We train and tune ensembles using state-of-the-art modeling tools with strict time-based splits to prevent look-ahead bias.

04
InvestorSight - Validation & Monitoring

Validation & Monitoring

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.

Why Our Predictions Stand Apart

We bring scientific rigor and real-world modeling expertise to every client engagement.

Research-Grade Rigor

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.

Depth and Breadth of Data

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.

Transparent Methodology

Founded by tenured academics and leading data scientists, InvestorSight brings the credibility of scientific research to predictive intelligence for capital markets.

ACTIVISTS

ActivistDetect

Quantitatively assess which companies are most vulnerable to activist intervention, across over 250 predictive signals.

Use Cases
  • Prioritize watchlists and outreach
  • Pressure-test strategic moves and disclosures
  • Benchmark vulnerability vs. peers
Selected Outputs
  • 12-month target likelihood score
  • Top contributing drivers and risk factors
  • Peer and sector comparisons over time
InvestorSight - ActivistDetect
BOARDS

DirectorElect

Forecast vote outcomes for each nominee using nominee history, board structure, investor sentiment, and company context.

Use Cases
  • Scenario test board composition changes
  • Optimize slate construction before filing
  • Anticipate proxy advisor and investor reactions
Selected Outputs
  • Predicted For/Withhold support for each nominee
  • Driver attribution (what moved the prediction)
  • Sensitivity analysis for slate/committee changes
SHAREHOLDERS

VotePredict

Project how individual investors will vote on proposals — and what factors drive their decisions.

Use Cases
  • Map pathways to 50%+ support
  • Target investor engagement by likelihood and drivers
  • Model the impact of new disclosures or events
Selected Outputs
  • Investor-level vote probabilities
  • Issue-specific driver summaries
  • Aggregated win-path scenarios

Customization & Delivery

We build our models to flex — adapted to your coverage needs, and seamlessly delivered through the platforms and processes you already use.

InvestorSight - Tailored Models

Tailored Models

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.

InvestorSight - Integration

Integration Hub

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.

InvestorSight - Explainability & Governance

Explainability & Governance

Every score ships with driver context, model lineage, and validation metrics to support internal model governance and regulatory reviews.

What You Can Do With Our Models

See around Corners:

Detect events before they occur.

Win close votes:

Focus engagement where it changes outcomes.

De-risk strategic moves:

Simulate strategic choices and director outcomes ahead of disclosures.

Quantify impact:

Test how announcements or events shift investor support.