Investing today is inseparable from big data. Data-driven investment strategies increasingly rely on multiple alternative 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.
Continuously updated data
Structured and ready-to-use
Rich, in-depth datasets
Best data sources for investment intelligence
Largest Professional Network
Data from the largest professional network consists of almost 67M company records and provides you with data points such as company name, website, size, location, industry, founding date, type, and more.
AngelList People data consists of over 12M records and provides you with data points such as name, position, school, bio, experience, and more.
Glassdoor Reviews' data consists of over 26M records and provides you with data points such as author title, location, pros, cons, ratings, recommendations, and more.
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Coresignal's data is tailored for the following cases
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.
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.
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 alternative 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 alternative 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.
Hundreds of unique data points
Our high-quality people and company datasets include hundreds of unique data points from 20 total sources. This richness guarantees a high degree of flexibility in how you can use the data.
- General information
- Job experience
- Skills and abilities
- Interests and activities
- General information
- Financial information
- Job listings
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.
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Coresignal's data helps companies achieve their goals
Frequently asked questions
What is investment intelligence?
Investment intelligence is the identification and evaluation of a particular organization’s investment insights gathered from alternative data sources.
What data do you offer?
Coresignal offers rich alternative data from 20 unique data sources spanning 8 categories.
How do you measure investment intelligence?
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.
How do hedge funds do research?
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.
Do hedge funds use AI?
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 alternative data.
Do hedge funds use NLP?
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.