Investing today is inseparable from big data. Algorithmic investment models increasingly rely on multiple alternative data sources, which help investors gain a competitive advantage and make data-backed investment decisions. With hundreds of unique data points, our public resume and firmographic datasets bring immense value to hedge funds, VCs, and other financial firms, enhancing their investment intelligence.
Continuously updated data
Raw, well structured and ready-to-use
Rich, in-depth datasets
Coresignal’s datasets help companies 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.
Financial institutions also use our datasets as an alternative data source to extract strategic or operational insights. This information enables them to understand the business environment of specific companies better or have a strategically useful overview of the general state of various industries.
Stay ahead of the game with fresh web data
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.
Our high-quality people and company datasets include more than 2000 data points from 20 total sources. This richness guarantees a high degree of flexibility in how you can use the data. Our two main data categories include:
Public resume data
Skills and abilities
Interests and activities
Unlock unprecedented insights into companies and industries
Aside from the already mentioned use cases, investors also use our main public resume 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.
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.