InterGen Data, Inc. Receives Seed Funding to Expand Its Financial Services Artificial Intelligence P

A portion of this round will be allocated towards pilots, API integrations, and the machine learning development of 25 additional life events.

InterGen Data, Inc. (InterGen), an AI-driven technology provider of proprietary AI software solutions and machine learning algorithms for banking, wealth management, insurance and fintech companies, announced today that it has recently closed $800k in seed funding from angel investor Stan Thomas. The funding will allow InterGen Data to further expand the platform, accelerate the development of additional life events, and develop new integrations with several large custodial platforms and fintech companies focused on financial planning, risk management, and portfolio management & accounting systems.

InterGen Data’s technology helps financial professionals identify the major gaps that exist in current financial planning software tools. InterGen Data Life Stage / Life Event Algorithm (LSLE) parses over 320 million attributes of U.S. data across a 10-year period to glean insights into the 12 most-probable life events and their economic impact. InterGen’s API driven business model allows app developers to aggregate InterGen’s proprietary intelligence within their own platforms on a subscription basis.

“There is a significant opportunity for financial institutions to use AI to transcend the client experience and conversation,” said Robert J. Kirk, founder and CEO of InterGen Data, Inc. “By connecting data and mapping it to each life stage and life event, we can better plan for the unexpected. Today’s financial planning systems architecture must evolve to meet the needs of a digitally empowered and intelligent consumer.”

About InterGen Data, Inc.

InterGen Data, Inc. (InterGen) was founded by financial professional Robert J. Kirk in 2017. InterGen builds AI-driven technology that helps companies identify when their clients are likely to have an important life event occur – including what that event could be and how much of a financial impact that it could represent.

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