A powerful system to deliver high-quality financial data
Our data pipeline allows us to deliver high-quality fundamentals and other financial datasets in an easy-to-consume format. We built a robust data infrastructure, so you don’t have to. Intrinio’s clients save hundreds of thousands of dollars and years of development work by leveraging our technology rather than developing their own.
Our sophisticated data infrastructure leverages dozens of formats and stages to process data in its raw form and deliver it in a clean, standardized form. At any given time, between 50 and 100 processes are actively running within the pipeline.
Here’s a high-level overview of our data infrastructure:
“Working with Intrinio has been wonderful. When seeking a data partner, we sought a good fit, with open lines of communication. Intrinio has allowed us to be successful in developing our new data platform and has been a great partner in our joint product offering venture.”
-Business Valuation Resources
“We were able to establish an open and fruitful technical collaboration… Intrinio has a large variety of data, and quality is excellent. They are flexible and open to requests when we need customization and also very knowledgeable in fixing technical issues when they arise.”
“Intrinio’s team has great values in terms of work ethic and ambition… Customer support is really impressive, with a tech department that gets back to us within the day… You are going to get innovation, ambition, great values, great customer service.”
-Ziggma Portfolio Manager
“The documentation is clear, the data quality is good, and the support team is very reactive. The team is fast and is embracing innovation while keeping good quality data and reliable APIs, which is what we were looking for and failed to find in other data providers… We are looking forward to continuing using their services for the years to come!”
We built complex infrastructure for financial data, so you don't have to. Get a peek at the mechanics behind our data.
Our XBRL Standardizer leverages machine learning to standardize financial statements for easier consumption and comparison.