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integrity by iThinking

Integrity By I Thinking

Information Technology And Services, 2170 Piedmont Rd Ne, London, Georgia, 30324, United States, 1-10 Employees

ithinking.co.uk

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phone no Phone Number: +19*********

Who is INTEGRITY BY ITHINKING

Integrity is a data science solution that provides insights into scholarly publishing, funding, and research activity using industry standard datasets. Colourful, visual, and interactive ...

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  • 2170 Piedmont Rd Ne, London, Georgia, 30324, United States Headquarters: 2170 Piedmont Rd Ne, London, Georgia, 30324, United States
  • 2015 Date Founded: 2015
  • 1-10 Employees: 1-10
  • dollar-icon Revenue: $100 Million to $250 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7342 | NAICS Code: 561110 | Show More

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Employees
Deirdre Woods

Deirdre Woods

Board Member (Non-Executive) and Senior Advisor

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Frequently Asked Questions Regarding Integrity by iThinking

Answer: integrity by iThinking's headquarters are located at 2170 Piedmont Rd Ne, London, Georgia, 30324, United States

Answer: integrity by iThinking's phone number is +19*********

Answer: integrity by iThinking's official website is https://ithinking.co.uk

Answer: integrity by iThinking's revenue is $100 Million to $250 Million

Answer: integrity by iThinking's SIC: 7342

Answer: integrity by iThinking's NAICS: 561110

Answer: integrity by iThinking has 1-10 employees

Answer: integrity by iThinking is in Information Technology and Services

Answer: integrity by iThinking contact info: Phone number: +19********* Website: https://ithinking.co.uk

Answer: Integrity is a data science solution that provides insights into scholarly publishing, funding, and research activity using industry standard datasets. Colourful, visual, and interactive search provide multiple points of entry for further discovery. Using machine learning and artificial intelligence, Integrity provides transparent, real-time results, helping individuals and institutions discover patterns and relationships within scholarly data.

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