The Nonprofit Sector in the US is a $3 Trillion annual economy. Over 75% of the Total Income reported by
Nonprofit Organizations in the U.S. comes from selling products or services while addressing important
We aggregate data and insights to facilitate the understanding of the sector and how the technology
companies, private investors, philanthropists, and social innovators can target specific segments to help
with mission delivery.
As of Q3 of 2021, we have over 3.3M records and over 500 million associated data points that we use to
generate insights, power third party applications, and services through our data services, and create
Interactive Reports to create awareness of the issues and opportunities facing the nonprofit economy in
Using Microsoft Azure Data Factory we automated the process of cleaning, updating, normalizing, and
classifying the IRS data from different sources: IRS Business Master Filings, IRS 990 Forms (990, 990PF,
and 990EZ), and the National Center of Charitable Statistics.
We remove duplicates by looking at the last amendment filed by any given organization. We
half a billion data points at any given time, and we use the insights derived from that data to power our
interactive tools and reports. We also offer access to our datasets.
Learn more by visiting our data and
consulting services section
For our Social Funding interactive tools, we exclude religious organizations and Private Foundations,
Community Foundations, and Trusts, as those entities behave as intermediaries that eventually deploy the
money as donations.
Our approach is AI-assisted rather than AI-replaced. We developed a proprietary classification engine to
organize Tax-exempt organizations under UN SDGs and under ~60 focus areas. This engine is built on
Microsoft Azure Data Factory and Google Big Query.
We deployed a Beta version of an AI-assisted Tax-exempt-organization classification engine by major
category area. This engine was based on work done by Dr. Ji Ma, Assistant Professor in Philanthropic and
Nonprofit Studies at The University of Texas at Austin | LBJ School of Public Affairs | RGK Center for
Philanthropy and Community Service.
Margin of error:
- IRS related data: 10% margin of error with a 95% confidence level
- Technology Solutions Classification: Over 90% accuracy
If you see something that we can improve, please contact us.