About SeekEdgar

Search Smarter, Research Deeper

All without a single line of code

SeekEdgar LLC (founded 2011 in Kansas) empowers users to search financial and non-financial information from global regulatory filings, perform textual analysis with built-in features, and export results instantly — no programming required.

2011
Incorporation Year
3
Search Engines
149
Published papers.
SeekiNF SeekFinData SeekForm345
About Our Story Founder What Sets Us Apart

About Us

SeekEdgar LLC, founded in 2011, in Kansas, is dedicated to making complex financial data accessible to everyone—without requiring any programming skills. Leveraging powerful Cloud Technology, we enable users to efficiently search both financial and non-financial information from global regulatory filings.

We've built three powerful search engines—SeekiNF, SeekFinData, SeekForm345—designed for speed, accuracy, and ease of use. With instant CSV downloads and an intuitive interface, researchers, professionals, and educators can focus on insights instead of technical hurdles.

Our Story

Born from the vision of democratizing financial analysis, SeekEdgar evolved out of academic research and innovation. We saw the barriers traditional tools posed to non-programmers and set out to remove them. Our platforms are built for researchers, students, and analysts who need precise insights—fast.

Don’t waste your time learning programming. Use your Knowledge, Imagination, and Creativity to create unique data using SeekEdgar Technologies.

"SeekEdgar’s flexibility and speed make data collection easier and more thorough." — Professor Mike Minnis, University of Chicago.

Dr. Rajendra P. Srivastava
Dr. Rajendra P. Srivastava

Meet Our Founder

Dr. Rajendra P. Srivastava is Professor Emeritus of Accounting & Information Systems at the University of Kansas School of Business. He served as the Ernst & Young Professor (1995–2018) and led the EY Center for Auditing Research and Advanced Technology (1995–2015).

With dual PhDs—in Physics (Oregon State University, 1972) and Accounting (University of Oklahoma, 1982)—he has authored 115+ publications in leading journals including The Accounting Review and Journal of Accounting Research. He founded SeekEdgar LLC by licensing his KU research to bring advanced technologies for text mining and textual analysis to academic researchers, teachers and practitioners.

  • 2020: Outstanding Research Award, Indian Accounting Association Research Foundation.
  • 2021: Marquis Who’s Who in America, and Marquis Who’s Who in the World. Article.
  • 2017: Award for Notable Contribution to AIS Literature, American Accounting Association.
  • 2017: Baxendale Innovation Award for KU technology commercialization.
  • 2015, 2013, 2012, 2007, 2006, 2005, 2004, 2002, 1996: Outstanding Mentor Award, Association of Business Doctoral Students, University of Kansas.
  • 2008: Best paper at the 5th International Conference on Enterprise Systems, Accounting and Logistics, Heraklion, Crete Island, Greece, July 7 and 8.
  • 2002: Outstanding Graduate and Professional Mentor Award, University of Kansas Graduate & Professional Association.
  • 1999: Best paper, Internet and Digital Economy Track, 32-Hawaii International Conference on Systems Science.
  • 1999: Best paper, Modeling Technology and Information Systems Track, 32-Hawaii International Conference on Systems Science.
  • 1997 & 1996: Research Excellence Award, School of Business, University of Kansas.
  • Developed a Vector Similarity Measure (2023) that addresses key limitations of cosine similarity in textual analysis.
  • Pioneered the application of Dempster-Shafer Theory of Belief Functions to audit judgment, Information System, Information Quality, Fraud Risk, Audit Risk, Internal Control Risk, Information Security Risk, and to Evidential Reasoning, in general.
  • Elected Member of the Board of the Belief Function Application Society (BFAS), 2010-2014.
  • Served as an Editor and Associate Editor of prestigious journals.
  • Enjoyed traveling the world as a visiting professor and distinguished speaker at various prestigious institutions in such countries as Australia, Belgium, Brazil, Czech Republic, China, Egypt, France, Germany, Greece, India, Indonesia, Italy, Japan, Mexico, New Zealand, Poland, Slovenia, Singapore, South Korea, Spain, Switzerland, Tunisia, and UK.

What Sets Us Apart

Search that understands "stop words"

  • Stop words (a, the, we, not, …) are included in search so phrases like "not effective internal controls" are discoverable.
  • Preserved in word/sentence/proximity counters—useful in risk phrases like "decline in stock price".

Numbers extraction & Excel

Extract any number (financial or non-financial) from a line—e.g., active patents—and export to Excel in seconds.

AI summaries

OpenAI-powered summaries for 10-K, 10-Q, 8-K, DEF 14A/14C, DEFM14A, and Item 1A sections.

Similarity that goes beyond cosine

Cosine & our custom Vector Similarity (Srivastava, 2023) across filings—within a company or across companies.

Advanced table mining

Proximity search inside tables with Excel export—e.g., "Uber Preferred" within 10 words in any table.

International coverage

Text mining for Indian company filings via SEBI (2006–2024).

SeekFinData

  • As-reported financials by company/industry with XBRL tag↔label mapping.
  • Natural-language queries for line items (e.g., common shares outstanding).

SeekForm345

Insider trading search across SEC Forms 3/4/5 with powerful query options.

Custom service included

Hands-on support bundled with all subscriptions—often a major cost saver.

XBRL tag ↔ label mapping

Search financial line items efficiently across tags and human-readable labels.

18 built-in unique datasets

Executive Compensation, Subsidiaries, Audit Fees, Committees, and more.

Broader coverage

Not limited to analyst-followed firms. "SeekEdgar’s flexibility and speed make data collection easier and more thorough." — Mike Minnis, University of Chicago.

Fast & intuitive

Lightning-quick responses and an interface designed for big, complex searches.