Predictive signals
for deal makers

Leveraging NLP + Machine Learning
to predict corporate actions

Utilize the power of AI to forecast corporate actions

We monitor the research activities of 4 million companies in the US on over 10,000 business, finance and news publications, such as Forbes, WSJ, TechCrunch, Investopedia, Divestopedia, and many more.

By analyzing more than 2 billion article reads daily, we convert vast data sets into precise predictive signals like the CapRaise, M&A, and Deal-Maker Scores.

Know when companies are ready to raise funding.

The ML model is created by backtesting research activities of thousands of startups 3 – 9 months prior to raising capital. 

The score is informed by research activity related to articles about venture capital, equity dilution, term sheets, pitch deck creation, and more.

Get alerted when companies are ready to sell.

Focused on lower and middle market businesses in the US. Industry agnostic.

The score is informed by research activity related to sale of business, working with business broker/investment bank, finding an M&A lawyer, selling to a private equity firm, financial audits and valuation, etc.

Deal-Maker Score

Discover when companies begin their search for deal-makers and intermediaries. 

We’re monitoring 2,500+ company names of PE firms, Investment Banks and M&A Advisory firms as topics to the Deal-Maker Score.

The score is informed by research activity featuring company names of private equity firms, growth equity firms and investment banks focused on the middle-market.

Custom Signals

You can track a list of companies from your CRM/trade shows and find companies to track using AI-powered company search.

Signals can be customized to align with your investment criteria, ensuring you only focus on relevant opportunities.

Insights

 Discover more companies and miss fewer deals

Discover more companies

and miss fewer deals