Investment intelligence
Investing today is inseparable from big data. Data-driven investment strategies increasingly rely on multiple public web data sources, which help investors gain a competitive advantage and make better decisions.
With hundreds of unique data points, our employee and firmographic datasets bring immense value to hedge funds, VCs, and other financial firms, enhancing their investment analysis.
Best data sources for investment intelligence
Largest Professional Network
Data from the largest professional network consists of almost 71M company records and provides you with data points such as company name, website, size, location, industry, founding date, type, and more.
Glassdoor Reviews
Glassdoor Reviews' data consists of over 33M records and provides you with data points such as author title, location, pros, cons, ratings, recommendations, and more.
Coresignal's data is tailored for the following cases
Signal generation
Train algorithms and operate intelligent solutions that track significant market events based on predetermined criteria and automatically provide signals. These actionable, data-based insights ensure that valuable opportunities will not be missed.
Enhanced decisions
People and company data is also used as an additional, alternative information source that helps both investment consulting and financial firms to enhance trading and investment decisions for a variety of users.
General analysis
Our datasets can be used as an alternative source to extract strategic or operational insights. It helps understand the business environment of specific companies better or have a strategically useful overview of the general state of various industries.
Increase your alpha with fresh web data
Coresignal's public web data enhances investment analysis and enables making better, data-driven decisions
Investment intelligence for hedge funds and VCs
For both pre and post-investment analysis, Coresignal’s rich public web data helps hedge funds and VCs gain strategic business insights, enhance their decision making process, and maintain algorithms that signal investment opportunities.
Evaluate and track company performance
Our in-depth firmographic, company employee review, and company funding data makes it possible to gain unprecedented insights by monitoring business strategy, predicting next steps, tracking companies and their performance.
Choose how you want to get the data
Database APIs
Search and enrich with direct access to a large-scale database.
A 360° view of companies you're interested in
Power your product or analysis with multi-source data on 36M+ unique companies. The unmatched level of detail in every record, over 300 data points, allows you to extract unique insights and gain a panoramic understanding of businesses worldwide. This multi-source dataset also contains additional data fields with insights powered by AI and years of historical data.
Unlock unprecedented insights into companies and industries
Aside from the already mentioned use cases, investors also use our main employee and firmographic datasets to:
- Screen startups and industries showing early signs of growth
- Identify companies hungry for the next investment
- Check if a startup is about to reach the next maturity phase
- Identify and predict a startup's potential at the founding moment
- Capture early-stage companies and products that are well-received and talked about
These are just some of the many ways to use our datasets. If you would like a free consultation on whether our data is right for you, feel free to schedule a consultation and we will be happy to answer all of your questions.
Stay ahead of the game with fresh web data
Coresignal's data helps companies achieve their goals
Frequently asked questions
Investment intelligence is the identification and evaluation of a particular organization’s investment insights gathered from public web data sources.
Coresignal offers rich public web data from 20 unique data sources spanning 8 categories.
Investment intelligence can be measured with a variety of metrics including, but not limited to, ROI, price-to-earnings ratio, and debt-to-equity ratio.
Many hedge funds conduct quantitative research with a team of analysts. These analysts are responsible for tracking patterns, risks, losses, trends, and more in order to help develop successful trading strategies that are executed by a portfolio manager.
Hedge funds utilize AI-based technology to analyze current data and to help predict future market and industry trends. Hedge funds also leverage machine learning and deep learning (a subset of machine learning) to help recognize patterns and extract valuable insights from public web data.
Hedge funds are able to use NLP, also known as natural language processing, for various reasons. Primarily, hedge funds are able to leverage NLP to analyze larger text documents and files, such as press releases, filings, and call transcripts, for risk management, investment intelligence, and sentiment analysis.