Online tool offers access to information on over 3.3 Million Tax-Exempt Organizations in the US
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KIRKLAND, Wash., Sept. 2, 2021 /PRNewswire/ -- X4Impact , the market intelligence platform for social innovation, announced the release of a comprehensive online tool for individuals, nonprofits and funders to find key information about tax-exempt organizations such as corporate address, website URL, Employer Identification Number (EIN), National Taxonomy of Exempt Entities (NTEE) Codes and more. The free tool is now available at https://x4i.org/nonprofit-ntee-code-finder. X4Impact Nonprofit Code Finder
With over three million tax-exempt organizations in the US, including more than a million 501(c)3 nonprofits with reported annual income above $3 Trillion, finding essential information related to the sector can be a daunting experience. X4Impact continuously updates tools to help leaders get the insight needed to maximize social impact. The X4Impact Nonprofit Code Finder includes the Impact Area from Animal Welfare to Youth Development, along with classification by one or more United Nations Sustainable Development Goals (UN SDGs) of 501(c)3 Nonprofit Organizations and other social-purpose entities. Nonprofits can see their information as reported by different agencies or compare themselves with peers. Individuals researching an organization before making a grant or signing a contract can use this mobile friendly tool to look up the answers to common questions about US tax-exempt organizations. "X4Impact helped us realize Project Harmony could be accidentally misclassified by government agencies and potential donors because of inconsistent or erroneous information listed by various entities," said Gene Klein, Executive Director, Project Harmony. "X4Impact's fast and free Nonprofit Code Finder tool made it so simple for us to compare the data from different sources and take corrective action." Many private organizations and foundations rely on the NTEE code to approve grants or to offer access to programs or tech incubators. "In more than 3 out of 10 cases, there are significant discrepancies between the code reported by the IRS, the one reported by the NCCS, and the one inferred from the mission statement of the organization," Shelly Kurtz, co-founder of X4Impact. "X4Impact offers visibility of the codes reported by different sources, as well as the category the organization falls under, such as Education, Health or Human Services. This saves time and money for nonprofits and those supporting them," Kurtz added. The dataset powering the X4Impact Nonprofit Code Finder is updated every two weeks with fresh data from the IRS. This work is made possible in part thanks to sponsorship from Docugami Inc, a Kirkland, Washington-based AI document engineering company helping to streamline nonprofit operations. "Docugami's Artificial Intelligence takes the guesswork out of contracts for nonprofits and we are proud to partner with X4Impact to provide easy access to insights that can help to spark innovation, funding and partnerships in the the US Nonprofit sector," said Alan Yates, Chief Business Officer at Docugami. About X4Impact
X4Impact, Inc. is the leading data insights, research, and advisory services company for social innovation in the US. Our social impact research technology processes billions of data points to provide leaders with the crucial insights, advice, and tools needed to deliver on their mission and build the social impact organizations of tomorrow. We are partners in impact providing data and services to entrepreneurs, investors, philanthropists, local governments, academic institutions, and socially-minded private sector organizations. To learn more visit x4i.org
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X4i.org Releases Nonprofit Code Finder to Support Social Impact Funding

스타트업앤칠(Startup&Chill)
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You hear so much about data these days that you might forget that a huge amount of the world runs on documents: a veritable menagerie of heterogeneous files and formats holding enormous value yet incompatible with the new era of clean, structured databases. Docugami plans to change that with a system that intuitively understands any set of documents and intelligently…

Docugami’s new model for understanding documents cuts its teeth on NASA archives

Docugami’s new model for understanding documents cuts its teeth on NASA archives
12.04.2021, 21:32,
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You hear so much about data these days that you might forget that a huge amount of the world runs on documents: a veritable menagerie of heterogeneous files and formats holding enormous value yet incompatible with the new era of clean, structured databases. Docugami plans to change that with a system that intuitively understands any set of documents and intelligently indexes their contents — and NASA is already on board. If Docugami’s product works as planned, anyone will be able to take piles of documents accumulated over the years and near-instantly convert them to the kind of data that’s actually useful to people. Because it turns out that running just about any business ends up producing a ton of documents. Contracts and briefs in legal work, leases and agreements in real estate, proposals and releases in marketing, medical charts, etc, etc. Not to mention the various formats: Word docs, PDFs, scans of paper printouts of PDFs exported from Word docs, and so on. Over the last decade there’s been an effort to corral this problem, but movement has largely been on the organizational side: put all your documents in one place, share and edit them collaboratively. Understanding the document itself has pretty much been left to the people who handle them, and for good reason — understanding documents is hard!

Josh Constine
I'm a principal investor at early stage VC fund SignalFire. Previously I was TechCrunch's editor-at-Large for 8 years. When data gets structured, value emerges. We’ve seen it over and over. Google structured web links into PageRank. Facebook structured your social graph into content ranking. Tesla is turning footage of city streets into navigation algorithms. Documents are another near-infinite naturally occurring resource of unstructured data. Docugami can become a generational technology company by distilling what’s inside. reactions
85% of enterprise information is trapped as unstructured “dark data.” That’s why Jean Paoli is finishing the job he started more than 20 years ago when he co-created XML for the World Wide Web Consortium. As Paoli himself admits, he is “obsessed with documents,” and has devoted his career to unlocking the potential of unstructured data. It’s what drove much of his work at Microsoft, where he helped create four billion-dollar businesses and spearheaded the effort to add a data layer to Office documents. reactions
Now, with his new startup  Docugami , he’s built customizable AI that will enable businesses to convert their unstructured information into data and put it to use. reactions
“Only 15% of enterprise data is in a database. Everything else is a big mess” explains Paoli. But by bridging the languages of humans and computers with Docugami, “We can literally change how information flows across the enterprise.”
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That vision of a common tongue for data and Paoli’s extraordinary founder-market fit convinced us at  SignalFire  to lead Docugami’s $10 million seed round. Docugami can make the world’s unstructured document text — in PDFs, contracts, and Word files — structured, organized, and accessible for a myriad of use cases,” SignalFire’s CTO and former Googler Ilya Kirnos says, echoing his former employer’s tagline. reactions
SignalFire’s Beacon data engine first spotted Docugami in 2018 when it detected an uncanny level of engineering talent at the new startup. “I remember this company came up in our Beacon Alerts meeting, and I go to their homepage and under Jean’s career highlights it lists him as a co-creator of XML, and I thought ‘Sure, yeah. And I’m the emperor of Atlantis,'” Kirnos remembers with a laugh. Turns out it was true. The other four co-founders all had deep domain expertise too. Andrew Begun, Taqi Jaffri, Mike Palmer, and Martin Sawicki were responsible for shipping critical parts of Word, Outlook, Office, and other products used by hundreds of millions of people. reactions
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The Father Of Semi-Structured Data
It feels a little bit like destiny. Paoli was born in Lebanon, home of the Phoenicians who invented the alphabet, and grew up speaking French, which he credits with his appreciation of the written word despite becoming an engineer. Even as a child, he was drawn to seeing and applying structure to the world, building an enormous electric abacus out of a bed’s headboard. reactions
Paoli rose through the French computer science institute Inria and studied with famed researcher and pioneer of the semantics of programming languages Gilles Kahn. “I was always the engineer working with scientists” Paoli remembers from his time leading two Inria-incubated startups. That’s when he got the first taste of the problem that would define his career. “There are text and documents that humans understand, but there’s this other thing called data that computers understand. Why are these different and how can we bridge that divide?”
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Docugami CEO Jean Paoli speaks at O’Reilly OSCON 2010. Image via  James Duncan Davidson  via  O’Reilly Media  
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Then Paoli got the big call. Bill Gates was staffing up Microsoft to embrace the web, and the company wanted him on the nascent Internet Explorer team. He joined under one condition. “I’m going to work on something that moves data on the internet, not on how the data looks.” In 1996 he co-created the Extensible Markup Language — XML — a format that’s both human-readable and machine-readable. That led to the X at the end of the DOCX, PPTX, and XLSX file formats we use today, augmenting these documents with a structured data layer. reactions
But while this effort started to dig the wells to the crude information buried inside of documents, someone still needed to extract and refine it into semantic data that can fuel a business. Over the course of his Microsoft career, Paoli built four businesses that each grew to over $1 billion in revenue. In his final role, he led Microsoft Open Technologies, accelerating open source technologies and paving the way for more than 60% of Microsoft Azure usage today. reactions
After 20 years at Microsoft, Paoli recognized that advances in AI and cloud infrastructure had finally reached the point that he could use them to solve the “ document dysfunction ” opportunity he had been pursuing his entire career. He left Microsoft to start his seventh business, Docugami, and build the missing algorithms and services that would transform documents into data. reactions
How Docugami works
Docugami combines Deep Learning, natural language processing, Bayesian, Evolutionary, and other AI techniques paired with declarative markup approaches to scan and understand business documents in any file format. It can examine a large group of documents, categorize them by type and function, and identify common and unique elements. From there, Docugami’s AI can recognize, catalog, and analyze items across documents such as:
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Relationships between terms and clauses
Docugami then generates automatic reports and summaries, helps you author new documents, and feeds the data into your other software like CRMs, Robotic Processing Automation, or analytics dashboards. reactions
For example, Docugami can help a bank compare terms across its entire loan portfolio, a government agency identify agreements that need auditing due to regulatory change, a real estate firm track millions of dollars in contractual obligations, or a health clinic simplify the process of doctors creating patient notes. reactions
In an open letter to the software industry, Paoli writes  that “We envision a world where AI helps people construct documents that are engineered for maximum data reuse from the start, fostering human creativity and unlocking billions of dollars in increased efficiency, improved compliance, and business insights for companies around the world.”
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Docugami is focused on mid- to large-sized businesses in legal, finance, consulting, human resources, and real estate that live and die by contracts. Users can upload partnership deals, service agreements, NDAs, leases, loans, RFPs, proposals, and all manners of sales contracts. Docugami then lets their teams and technology understand exactly what’s inside and help them create new documents. The technology can be customized in 30 minutes to understand the nuances of a particular business and can easily scale to other verticals such as healthcare or manufacturing. Docugami never jeopardizes privacy by applying AI learnings from one customer’s documents to another. reactions
After being founded in March 2018, the startup was processing real customer data sets within months thanks to the credibility of the team. Currently, Docugami has dozens of businesses and organizations using its private beta, across a diverse array of industry sectors, including professional services, construction, real estate, law, health care, finance, and many more. Docugami’s document engineering solution is available in private beta today ( sign up here for early access ) ahead of its public self-serve launch in 2021.
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SignalFire digs in with Docugami
“When I entered, I saw dozens of people actually working, doing stuff in a very nicely disorganized way with a bunch of tables and whiteboards. I thought, ‘Whoa, this looks like how I work’” Paoli recalls from his first visit to SignalFire’s San Francisco office in 2019. Encouraged by a recommendation from SignalFire portfolio company Grammarly, Paoli took the meeting. reactions
Another factor stood out for Paoli at his first sit-down with SignalFire. “Finally, somebody asked me a question that wasn’t ‘how much ARR (annual recurring revenue) do you have?’ or ‘Why doesn’t this screen have a nicer design?’”
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Instead, the first question Paoli received was “Does this thing work?” followed shortly by “Well, can we try it?” from  Kirnos  and our AI Ph.D.  Adam Vogel . Since roughly a quarter of our team at SignalFire are data scientists and programmers building out our Beacon Recruiting and Market Data engines that we provide to our portfolio, we actually have engineering bays (or we did before going fully remote due to COVID-19). reactions
“It was awesome. It reminded me a lot of Microsoft. I did not need to repeat what we were trying to do 15 times” Paoli remembers. “You know, it felt like a very familiar place, like ‘Okay, I’m talking to techies.’”
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Docugami co-founders Andrew Begun, Taqi Jaffri, Martin Sawicki, and Mike Palmer (inset). The whole staff could fit in a tiny conference room in 2018. Today, the company has grown to nearly 30 engineers, scientists, and business leaders. reactions
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In fact, Vogel and Paoli were geeking out together before they’d even met. After Beacon first sniffed out Docugami, Vogel tried the demo and started asking about their named entity recognizer and how the algorithm was trained. He tells me Docugami’s team responded, “‘What? You opened that? Nobody ever goes there!’ And I was like, ‘What are you talking about? These are the goods! The rest is just UI!” ( For more from SignalFire, join our newsletter )
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Paoli says “Adam’s role was critical! He went and tested the stuff, he tried it with his own documents. If he found bugs, which you would expect with a pre-seed startup, he went around them. He was not scared about it. We had these experiences with a few other VCs telling us ‘Oh your dialog box doesn’t work.’ Really? Are you serious? I’m showing you an AI algorithm and you’re telling me the dialog box doesn’t work” he says with a grin. Kirnos beams “We’re proud to come across as more entrepreneurial and more like builders versus asset managers or financiers.”
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Beyond the code, it’s been a pleasure to support a legend like Paoli. We’ve used our Beacon Recruiting tech and talent team to help fill several of Docugami’s engineering roles. In just six months after receiving their seed round from SignalFire, Docugami grew from 8 to 30 employees, hiring senior engineering, scientific, sales, and operational leaders, and continues to hire with a commitment to both excellence and diversity. Paoli and his team have joined 18 of our expert council events on topics like enterprise influencer marketing and freemium strategies. And our executive briefing team has introduced Docugami to sales leads inside and outside of our portfolio that have turned into pilot deals. reactions
For a fund full of engineers, it’s easy to get excited about the potential of Docugami. “There are a lot of office workers who have this mind-crushing work of data extraction where they’re doing not quite the same thing over and over” Vogel explains. But Docugami can learn and be customized to automate what otherwise couldn’t be. “I really think this could be a liberating technology for people with crap office jobs.”
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“You can take all the data that lives inside a PDF that isn’t recorded anywhere else, no one knows how to find, and no one knows how to aggregate, and all of a sudden you can run a query on this unstructured data as easily as if it was a spreadsheet” Kirnos says.“The market is just absolutely ginormous because every company has contracts” Kirnos explains. reactions
“At Google, I saw the power of making information organized and accessible. Now I see it with Docugami .”
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The Father of XML Launches Docugami to Fix Data Dysfunction

Photo: Shutterstock
Amazon making face shields. Due to the pandemic, there’s a shortage of personal protective equipment. In March, Amazon began designing and producing face shields and has donated almost 10,000 of them so far. It’s Grammarly’s first investment in its 11-year history as a company. Kirkland-based Docugami is an AI document engineering startup. [ GeekWire ]
Syndio raised $7.5M. Its HR technology helps companies maintain equal pay. CEO Maria Colacurcio said the pandemic has only increased the risk of pay equity. [ Built In Seattle ]
Scener partnered with HBO. Now, anyone with an HBO Now or HBO Go subscription in the United States can create a virtual space to watch shows and movies with up to 19 friends, thanks to a partnership with this Seattle startup. Users chat with video, audio and text while viewing. [ Built In Seattle ]
SirionLabs raised $44M. It created an automated contract management service that uses AI to write contracts. Tiger Global and Avatar Growth Capital led the Series C. [ Built In Seattle ]
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Docugami offers a range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to improve document creation and management.

Date	2/11/2020
Round	Seed VC
Amount	$10M
Investors	Alan Smith, Barry Abbott, Bob Muglia, Ellen Levy, Fenwick & West, Grammarly, Greg Badros, Hank Vigil, Marc Jalabert, Next World Capital, Sarah Imbach, Shishir Mehrotra, SignalFire, Sunil Chhaya, and Thomas Reardon
Valuation
Revenue
Sources	15

First funding	Last Funding	Investor	Rounds	Type	Location
2/11/2020	2/11/2020	Thomas Reardon	1 Seed VC	Angel Investor (Individual)	New York
2/11/2020	2/11/2020	Sunil Chhaya	1 Seed VC	Angel Investor (Individual)	California
2/11/2020	2/11/2020	Grammarly	1 Seed VC	Corporation	California
00/00/0000	00/00/0000	Marc Jalabert	Subscribe to see more	Angel Investor (Individual)
00/00/0000	00/00/0000	Barry Abbott	Subscribe to see more	Angel Investor (Individual)	Washington

First funding	2/11/2020	2/11/2020	2/11/2020	00/00/0000	00/00/0000
Last Funding	2/11/2020	2/11/2020	2/11/2020	00/00/0000	00/00/0000
Investor	Thomas Reardon	Sunil Chhaya	Grammarly	Marc Jalabert	Barry Abbott
Rounds	1 Seed VC	1 Seed VC	1 Seed VC	Subscribe to see more	Subscribe to see more
Board Seats
Type	Angel Investor (Individual)	Angel Investor (Individual)	Corporation	Angel Investor (Individual)	Angel Investor (Individual)
Location	New York	California	California		Washington

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