Cignifi and WSBI To Develop Innovative Mobile Savings Product

By | January 20th, 2015|Categories: WSBI|

"Cignifi and WSBI (World Savings and Retail Banking Institute) announce an agreement to develop and test-market an innovative mobile savings product targeted at underserved and dormant savers.The product will be tested in partnership with Airtel [...]

Cignifi Completes Series A-2 Funding Round Led By Omidyar Network

By | September 4th, 2014|Categories: Omidyar Network|

"Cignifi announces closing of a Series A-2 funding round, led by existing investor Omidyar Network, with additional investments from American Express Ventures and other existing investors." Read More

Cignifi Establishes Correlation Between Mobile Phone Usage and Banking Behavior

By | May 12th, 2014|Categories: Uncategorized|

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Can Mobile Phones Help The World’s Unbanked? Experts Think So.

By | April 23rd, 2014|Categories: CNBC|

"Cignifi is unlocking financial services for huge numbers of underserved people around the world." Read More

Enabling Financial Inclusion Through Alternative Data

By | April 13th, 2014|Categories: MasterCard|

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Cignifi Uses Big Data to Bring Economic Security to the Unbanked

By | December 23rd, 2013|Categories: American Banker|

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Cignifi Gets $1.5M for Mobile Phone-Based Credit Scoring

By | November 16th, 2012|Categories: Boston Business Journal|

'This financing represents a major step forward for Cignifi and for our proven big data engine, which enables mobile network operators and their banking and insurance partners to identify leads among millions of pre-pay customers,' [...]

Cambridge Credit Scoring Startup Cignifi Collects $1.5 Million From eBay’s Founder

By | November 14th, 2012|Categories: Boston.com|

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NFC and Mobile Money Summit

By | October 12th, 2012|Categories: Uncategorized|

Peter Grindrod, VP of Analytics, presented at GSMA's NFC and Mobile Money Summit in October. Read More

Big Data – Crunching the Numbers

By | May 19th, 2012|Categories: The Economist|

"Cignifi digs deep into mobile-phone records, crunching variables such as the time when calls were made, their frequency and the whereabouts of the callers for clues about their propensity to repay loans." Read More